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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101650235</journal-id><journal-id journal-id-type="pubmed-jr-id">43458</journal-id><journal-id journal-id-type="nlm-ta">Infect Dis (Lond)</journal-id><journal-id journal-id-type="iso-abbrev">Infect Dis (Lond)</journal-id><journal-title-group><journal-title>Infectious diseases (London, England)</journal-title></journal-title-group><issn pub-type="ppub">2374-4235</issn><issn pub-type="epub">2374-4243</issn></journal-meta><article-meta><article-id pub-id-type="pmid">40968390</article-id><article-id pub-id-type="pmc">12961576</article-id><article-id pub-id-type="doi">10.1080/23744235.2025.2553665</article-id><article-id pub-id-type="manuscript">HHSPA2113790</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Epidemiology and antimicrobial resistance of <italic toggle="yes">Salmonella enterica</italic> serotype Infantis in the United States: infections and emergence of a multidrug-resistant strain during 1979&#x02013;2022</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Medalla</surname><given-names>Felicita</given-names></name><degrees>MD, MS</degrees><aff id="A1">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Shah</surname><given-names>Hazel J.</given-names></name><degrees>MPH</degrees><aff id="A2">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Sundararaman</surname><given-names>Preethi</given-names></name><degrees>MPH</degrees><aff id="A3">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Chen</surname><given-names>Jessica</given-names></name><degrees>PhD</degrees><aff id="A4">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Ellison</surname><given-names>Zachary</given-names></name><degrees>MPH</degrees><aff id="A5">Applied Science, Research, and Technology, Inc., Smyrna, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Verlander</surname><given-names>Sarah</given-names></name><degrees>MPH</degrees><aff id="A6">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Buuck</surname><given-names>Sean</given-names></name><degrees>MPH</degrees><aff id="A7">Minnesota Department of Health, Saint Paul, Minnesota, USA</aff></contrib><contrib contrib-type="author"><name><surname>Hanna</surname><given-names>Samir</given-names></name><degrees>MD, MSPH</degrees><aff id="A8">Tennessee Department of Health, Nashville, Tennessee, USA</aff></contrib><contrib contrib-type="author"><name><surname>Hoelzl</surname><given-names>Rebecca</given-names></name><degrees>MPH</degrees><aff id="A9">New York State Department of Health, Albany, New York, USA</aff></contrib><contrib contrib-type="author"><name><surname>Rissman</surname><given-names>Tamara</given-names></name><degrees>MPH</degrees><aff id="A10">Connecticut Emerging Infections Program, New Haven, Connecticut, USA</aff></contrib><contrib contrib-type="author"><name><surname>Trevejo</surname><given-names>Rosalie</given-names></name><degrees>DVM, MPVM, PhD</degrees><aff id="A11">Oregon Health Authority Public Health Division, Portland, Oregon, USA</aff></contrib><contrib contrib-type="author"><name><surname>Devine</surname><given-names>Carey</given-names></name><degrees>MPH</degrees><aff id="A12">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Birhane</surname><given-names>Meseret G.</given-names></name><degrees>MPH</degrees><aff id="A13">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Reynolds</surname><given-names>Jared L.</given-names></name><degrees>MPH</degrees><aff id="A14">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Caidi</surname><given-names>Hayat</given-names></name><degrees>PhD</degrees><aff id="A15">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Folster</surname><given-names>Jason</given-names></name><degrees>PhD</degrees><aff id="A16">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Tolar</surname><given-names>Beth</given-names></name><degrees>MS</degrees><aff id="A17">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Payne</surname><given-names>Daniel C.</given-names></name><degrees>PhD</degrees><aff id="A18">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Hoekstra</surname><given-names>Robert M.</given-names></name><degrees>PhD</degrees><aff id="A19">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib><contrib contrib-type="author"><name><surname>Watkins</surname><given-names>Louise Francois</given-names></name><degrees>MD, MPH</degrees><xref rid="CR1" ref-type="corresp">*</xref><aff id="A20">Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib></contrib-group><author-notes><corresp id="CR1"><label>*</label><bold>Author for correspondence</bold>: Louise Francois Watkins, MD, MPH, Division of Foodborne, Waterborne, and Environmental Disease, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, MS H24-11, Atlanta, GA 30329, <email>hvu9@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>26</day><month>9</month><year>2025</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2026</year></pub-date><pub-date pub-type="epub"><day>18</day><month>9</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>05</day><month>3</month><year>2026</year></pub-date><volume>58</volume><issue>1</issue><fpage>108</fpage><lpage>125</lpage><abstract id="ABS1"><sec id="S1"><title>Background</title><p id="P1"><italic toggle="yes">Salmonella</italic> infections are a major cause of human illness in the United States. <italic toggle="yes">Salmonella enterica</italic> serotype Infantis has re-emerged as a leading serotype with the emergence of a multidrug-resistant <italic toggle="yes">S.</italic> Infantis strain, designated as REPJFX01 by the Centers for Disease Control and Prevention (CDC). REPJFX01, which typically contains a megaplasmid of emerging <italic toggle="yes">Salmonella</italic> Infantis (pESI) harboring multiple resistance genes and a chromosomal <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin, has caused human infections linked to chicken consumption.</p></sec><sec id="S2"><title>Objective</title><p id="P2">The study aimed to describe the epidemiology and antimicrobial resistance of human <italic toggle="yes">S.</italic> Infantis infections, including the emergence of REPJFX01, in the United States.</p></sec><sec id="S3"><title>Methods</title><p id="P3">The study used data from five CDC surveillance systems, with combined years from 1979 through 2022. Negative binomial and logistic regression models were used in the multivariable analyses of surveillance data.</p></sec><sec id="S4"><title>Results</title><p id="P4">In 10 active surveillance sites, the mean annual incidence of human <italic toggle="yes">S.</italic> Infantis infections was twice as high during 2013&#x02013;2022 vs. 2003&#x02013;2012 (adjusted rate ratio=1.96, 95% CI 1.75&#x02013;2.20). REPJFX01 infections accounted for nearly one-third of <italic toggle="yes">S.</italic> Infantis infections during 2018&#x02013;2022 (vs. 2013&#x02013;2017, adjusted odds ratio=2.09, 95% CI 1.56&#x02013;2.79). <italic toggle="yes">S.</italic> Infantis infections were more likely among persons who were &#x02265;45 years old, female, from racial and ethnic minority groups, and had <italic toggle="yes">Salmonella</italic> isolated from urine, than infections with other common serotypes.</p></sec><sec id="S5"><title>Conclusion</title><p id="P5">The increase in <italic toggle="yes">S.</italic> Infantis infections during 2013&#x02013;2022 was likely driven by an increase in REPJFX01 infections. Public health strategies to reduce <italic toggle="yes">Salmonella</italic> contamination of chicken could help prevent human infections.</p></sec></abstract><kwd-group><kwd><italic toggle="yes">Salmonella</italic></kwd><kwd>Infantis</kwd><kwd>pESI</kwd><kwd>REPJFX01</kwd><kwd>multidrug resistance</kwd><kwd>antimicrobial resistance</kwd><kwd>incidence</kwd></kwd-group></article-meta></front><body><sec id="S6"><title>Background</title><p id="P6">Nontyphoidal <italic toggle="yes">Salmonella</italic> infections are a major cause of human illness in the United States, resulting in ~1.35 million illnesses annually, with ~25% attributed to poultry sources (<xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref>). Twenty serotypes cause most human infections. <italic toggle="yes">Salmonella enterica</italic> serotype Infantis (<italic toggle="yes">S.</italic> Infantis) has re-emerged as a leading serotype with the emergence of a multidrug-resistant strain (<xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref>). Although most <italic toggle="yes">Salmonella</italic> infections result in self-limited gastrointestinal illness, antimicrobial agents, particularly fluoroquinolones (e.g., ciprofloxacin) and third-generation cephalosporins (e.g., ceftriaxone), are recommended for patients with severe infections (e.g., bloodstream infections) (<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R7" ref-type="bibr">7</xref>). Azithromycin is a treatment option, particularly when resistance to fluoroquinolones and third-generation cephalosporins is a concern (<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref>).</p><p id="P7">The multidrug-resistant <italic toggle="yes">S.</italic> Infantis strain, now designated as &#x0201c;REPJFX01,&#x0201d; was first identified in the United States from a retail chicken sample collected in 2014; it had a rare extended-spectrum &#x003b2;-lactamase gene, <italic toggle="yes">bla</italic><sub>CTX-M-65</sub>, conferring resistance to ceftriaxone and other &#x003b2;-lactams (<xref rid="R9" ref-type="bibr">9</xref>&#x02013;<xref rid="R11" ref-type="bibr">11</xref>). Subsequent investigations found that the earliest U.S. infections with this <italic toggle="yes">S.</italic> Infantis strain occurred in 2012 in travelers returning from Peru (<xref rid="R12" ref-type="bibr">12</xref>). REPJFX01 typically contains a megaplasmid of emerging <italic toggle="yes">Salmonella</italic> Infantis (pESI) harboring multiple resistance genes and a chromosomal <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin (<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R13" ref-type="bibr">13</xref>&#x02013;<xref rid="R17" ref-type="bibr">17</xref>). Additional human infections have since been detected, including outbreaks linked to consumption of chicken (<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R18" ref-type="bibr">18</xref>). <italic toggle="yes">S.</italic> Infantis is now among the most common serotypes from U.S. poultry sources (<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R15" ref-type="bibr">15</xref>&#x02013;<xref rid="R17" ref-type="bibr">17</xref>).</p><p id="P8">We describe the epidemiology and antimicrobial resistance of human <italic toggle="yes">S.</italic> Infantis infections in the United States, including the emergence of REPJFX01, using data from five surveillance and monitoring systems at the Centers for Disease Control and Prevention (CDC). Since 2020, CDC has used whole genome sequencing (WGS) to monitor reoccurring, emerging, or persisting (REP) strains of enteric bacteria, including REPFJX01 (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R11" ref-type="bibr">11</xref>). These systems, varying in scope and methods and including surveillance for overall and outbreak-related <italic toggle="yes">Salmonella</italic> infections, provide data for an overview of <italic toggle="yes">S.</italic> Infantis and REPJFX01 infections at the national level and more in-depth analyses of infections in 10 active surveillance sites.</p></sec><sec id="S7"><title>Methods</title><sec id="S8"><title>Data Sources and Definitions</title><sec id="S9"><title>PulseNet</title><p id="P9">PulseNet, the national molecular subtyping network for foodborne disease surveillance, monitors <italic toggle="yes">Salmonella</italic> strains to detect potential outbreaks; in 2019, PulseNet began using whole genome sequencing (WGS) as their gold standard for cluster detection (<xref rid="R19" ref-type="bibr">19</xref>). Public health laboratories (PHLs) analyzed sequence data using BioNumerics Software (Applied Maths, <ext-link xlink:href="http://www.applied-maths.com/" ext-link-type="uri">http://www.applied-maths.com</ext-link>) and uploaded sequence information to the CDC PulseNet national database with isolate metadata. Routine PulseNet sequencing was performed using short read data (<xref rid="R19" ref-type="bibr">19</xref>,<xref rid="R20" ref-type="bibr">20</xref>).</p><p id="P10">Since 2020, CDC has monitored REPFJX01 as a persisting REP strain (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R19" ref-type="bibr">19</xref>). REPJFX01 isolates are defined by PulseNet as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing (cgMLST) within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI and <italic toggle="yes">gyrA87</italic> mutation (<xref rid="R11" ref-type="bibr">11</xref>). All <italic toggle="yes">S.</italic> Infantis sequences available in PulseNet (as of 2/21/24), including those submitted before 2020, were screened for inclusion in REPJFX01. The presence of <italic toggle="yes">Inc</italic>FIB(pN55391), a plasmid replicon sequence associated with pESI (pESI-like), and <italic toggle="yes">gyrA87</italic> mutation were assessed among REPJFX01 isolates (<xref rid="R15" ref-type="bibr">15</xref>&#x02013;<xref rid="R17" ref-type="bibr">17</xref>). We looked at <italic toggle="yes">Inc</italic>FIB(pN55391) but not necessarily for other genes associated with the plasmid.</p></sec><sec id="S10"><title>Laboratory-Based Enteric Disease Surveillance (LEDS)</title><p id="P11">PHLs serotype human <italic toggle="yes">Salmonella</italic> isolates received from clinical laboratories and report them to CDC through the LEDS system (<xref rid="R21" ref-type="bibr">21</xref>). In this report, the term <italic toggle="yes">Salmonella</italic> refers to nontyphoidal <italic toggle="yes">Salmonella (</italic>i.e., excluding serotypes Typhi and Paratyphi A, B [tartrate-negative], and C) (<xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R22" ref-type="bibr">22</xref>). We determined the 20 most common serotypes among isolates collected during 1979&#x02013;2018 and partitioned them into two categories: <italic toggle="yes">S.</italic> Infantis and other common serotypes (&#x0201c;other <italic toggle="yes">Salmonella</italic>&#x0201d;).</p></sec><sec id="S11"><title>Foodborne Diseases Active Surveillance Network (FoodNet)</title><p id="P12">FoodNet conducts population-based active surveillance for laboratory-confirmed <italic toggle="yes">Salmonella</italic> infections, representing ~15% of the U.S. population (<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref>). FoodNet, established in 1996, gradually expanded until 2004 when it stabilized to its current 10-site catchment; it collects patient demographic, clinical, outcome, and exposure data (<xref rid="T1" ref-type="table">Table 1</xref>). We used 1996&#x02013;2020 data to determine the 20 most common serotypes and also created <italic toggle="yes">S.</italic> Infantis and &#x0201c;other <italic toggle="yes">Salmonella</italic>&#x0201d; categories (<xref rid="T1" ref-type="table">Table 1</xref>). Using available PulseNet identifiers, we linked FoodNet cases with PulseNet WGS data to identify REPJFX01 infections.</p></sec><sec id="S12"><title>National Antimicrobial Resistance Monitoring System (NARMS)</title><p id="P13">NARMS, established in 1996, monitors resistance among <italic toggle="yes">Salmonella</italic> (<xref rid="R22" ref-type="bibr">22</xref>&#x02013;<xref rid="R24" ref-type="bibr">24</xref>). PHLs in 50 state and 4 local health departments submit every 20th <italic toggle="yes">Salmonella</italic> isolate from human infections that are received from clinical laboratories to CDC for antimicrobial susceptibility testing. Laboratory methods and interpretive criteria have been described in previous reports (<xref rid="R22" ref-type="bibr">22</xref>&#x02013;<xref rid="R24" ref-type="bibr">24</xref>). Since 2015, the NARMS laboratory and PHLs participating in PulseNet have more routinely sequenced <italic toggle="yes">Salmonella</italic> isolates.</p><p id="P14">To assess antimicrobial resistance among <italic toggle="yes">S.</italic> Infantis isolates, we determined &#x0201c;predicted&#x0201d; resistance from WGS data based on the presence of resistance determinants, including genes and mutations, in the isolate&#x02019;s genome. We categorized isolates with resistance to at least one antimicrobial as resistant to the drug class (as defined by the Clinical and Laboratory Standards Institute [CLSI]) (<xref rid="R25" ref-type="bibr">25</xref>). We used data from 2012&#x02013;2022.</p></sec><sec id="S13"><title>National Outbreak Reporting System (NORS)</title><p id="P15">CDC has received reports of foodborne disease outbreaks electronically since 1998. The reporting platform NORS launched in 2009 to integrate outbreak reporting and includes data on all foodborne and waterborne outbreaks and enteric disease outbreaks transmitted by contact with environmental sources, infected persons or animals, or unknown modes. (<xref rid="T1" ref-type="table">Table 1</xref>) (<xref rid="R26" ref-type="bibr">26</xref>). State, local, and territorial public health agencies submit reports to CDC, including PulseNet identifiers for outbreak-associated clinical isolates. We used available PulseNet identifiers to link NORS isolate records with WGS data and identify outbreaks that included &#x02265;1 REPJFX01 infection. We included <italic toggle="yes">S.</italic> Infantis outbreaks reported during 1998&#x02013;2021.</p></sec></sec><sec id="S14"><title>Additional Description of Data Sources and Methods</title><p id="P16">Each of the five surveillance systems had unique and complementary contributions to our study. This activity was reviewed by CDC, deemed not research, and was conducted consistent with applicable federal law and CDC policy.</p><p id="P17">To calculate incidence of <italic toggle="yes">S</italic>. Infantis infections each year, we used 1979&#x02013;2018 data from LEDS and 1996&#x02013;2022 data from FoodNet; annual incidence rates were calculated per 100,000 persons using U.S. Census population data (<xref rid="R27" ref-type="bibr">27</xref>). We included &#x0201c;historical&#x0201d; data from LEDS to describe longer-term changes. For an overall side-by-side comparison, we visually inspected incidence trend lines of <italic toggle="yes">S</italic>. Infantis infections in LEDS and FoodNet for the 23 years (1996&#x02013;2018) with available data from both surveillance systems. However, we did not make formal comparisons between changes in incidence observed in the two systems. They differed in population coverage and type of surveillance. LEDS involved laboratory-based passive surveillance with limited patient information collected for isolates reported in 50 states, while FoodNet conducted active surveillance of infections in 10 sites (<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R21" ref-type="bibr">21</xref>). For ascertained infections, FoodNet collects data on patient demographics, specimen source, hospitalization, deaths, international travel in the 7 days before illness onset (since 2004), outbreak association, symptoms (since 2011), and history of selected comorbidities (since 2018).</p><p id="P18">For comparisons of average incidence rates, we categorized time periods by dividing study years equally (<xref rid="T1" ref-type="table">Table 1</xref>). Using negative binomial models, we assessed changes in incidence of <italic toggle="yes">S</italic>. Infantis infections by comparing average annual incidence rates for two 10-year periods during the 20 most recent available years: 2009&#x02013;2018 vs. 1999 vs. 2008 in LEDS and 2013&#x02013;2022 vs. 2003&#x02013;2012 in FoodNet; the latter included 19 years (2004&#x02013;2022) with stable 10-site catchment in FoodNet. The models were adjusted for site (50 states in LEDS, 10 sites in FoodNet).</p><p id="P19">We used logistic regression models in the multivariable analyses of FoodNet data to assess patient and other characteristics of <italic toggle="yes">S.</italic> Infantis and REPJFX01 infections, including isolate sources (e.g., blood suggesting bloodstream infections) (<xref rid="T1" ref-type="table">Tables 1</xref>, <xref rid="T2" ref-type="table">2</xref> and <xref rid="T4" ref-type="table">4</xref>). We included years when most variables were routinely collected or WGS data were available in FoodNet and PulseNet. For example, because PHLs started sequencing more isolates in 2015 and FoodNet began collecting PulseNet WGS identifiers in 2018 (followed by retrospective collection for the earlier years), we included data for the five most recent available years, 2016&#x02013;2020, in the analysis of REPJFX01 infections. Using PulseNet WGS identifiers, we identified REPJFX01 infections by linking PulseNet and FoodNet data. In the analysis of overall <italic toggle="yes">S</italic>. Infantis infections, we included infections ascertained in FoodNet during 2006&#x02013;2020; all variables were routinely collected and PulseNet linking was not necessary for this analysis. In the multivariable models, we considered variables that were significant in the univariable analyses or associated with <italic toggle="yes">Salmonella</italic> infections in previous studies (<xref rid="R28" ref-type="bibr">28</xref>&#x02013;<xref rid="R30" ref-type="bibr">30</xref>) (<xref rid="T2" ref-type="table">Tables 2</xref>, <xref rid="T4" ref-type="table">4</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Tables 1</xref>&#x02013;<xref rid="SD1" ref-type="supplementary-material">3</xref>).</p><p id="P20">Using logistic regression, we assessed changes in REPJFX01 among sequenced <italic toggle="yes">S</italic>. Infantis isolates in PulseNet by comparing average annual percentages for two five-year periods, 2018&#x02013;2022 vs. 2013&#x02013;2017, during the 10 most recent available years; the models were adjusted for region. We used the 4 U.S. Census regions to categorize the submitting PHLs (<xref rid="R27" ref-type="bibr">27</xref>). We described predicted antimicrobial resistance among sequenced isolates using WGS data in NARMS for isolates received from PHLs (as part of every 20th submission for testing at CDC) and isolate sequences uploaded by PHLs to the CDC PulseNet database that were captured in the NARMS data system. To provide an overview of <italic toggle="yes">S</italic>. Infantis outbreaks, we used data from outbreak reports received by NORS for 1998&#x02013;2021.</p></sec></sec><sec id="S15"><title>Results</title><sec id="S16"><title>LEDS: Incidence of S. Infantis infections (1979&#x02013;2018)</title><p id="P21"><italic toggle="yes">S.</italic> Infantis was the sixth most common <italic toggle="yes">Salmonella</italic> serotype and accounted for 35,771 (3.0%) of 1,201,630 isolates representing the 20 most common serotypes. Typhimurium and Enteritidis, the two leading serotypes, accounted for 52% of total isolates of other common serotypes. Newport, Heidelberg, and Javiana were other common serotypes, ranked 3rd, 4th, and 5th, respectively.</p><p id="P22">The mean annual incidence of <italic toggle="yes">S.</italic> Infantis infections per 100,000 persons was 0.37 (95% CI 0.29&#x02013;0.46) during 2009&#x02013;2018, higher than that for 1999&#x02013;2008 (0.18, 95% CI 0.17&#x02013;0.20) and 1989&#x02013;1998 (0.23, 95% CI 0.19&#x02013;0.27), and lower than during 1979&#x02013;1988 (0.54, 95% CI 0.48&#x02013;0.59) (<xref rid="F1" ref-type="fig">Figure 1</xref>). The adjusted incidence rate ratio (RR) increased significantly during 2009&#x02013;2018 vs. 1999&#x02013;2008 (RR=1.88, 95% CI 1.76&#x02013;2.01).</p><p id="P23">The annual incidence of other <italic toggle="yes">Salmonella</italic> infections was stable during the past two decades (<xref rid="F1" ref-type="fig">Figure 1</xref>). The mean incidence per 100,000 was 9.74 (95% CI 9.29&#x02013;10.19) during 2009&#x02013;2018 and 9.06 (95% CI 8.78&#x02013;9.33) during 1999&#x02013;2008.</p></sec><sec id="S17"><title>FoodNet: Incidence and characteristics of infections</title><sec id="S18"><title>Overall S. Infantis incidence (1996&#x02013;2022)</title><p id="P24"><italic toggle="yes">S.</italic> Infantis was the 10th most common serotype and accounted for 3,036 (2.6%) of 117,064 isolates representing the 20 most common serotypes. The annual incidence of <italic toggle="yes">S.</italic> Infantis infections increased over the past two decades; rates (per 100,000) were stable (0.12&#x02013;0.22) during 2003&#x02013;2009, started increasing in 2010, and have remained at &#x02265; 0.30 since 2013 (<xref rid="F2" ref-type="fig">Figure 2</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 1</xref>). Mean annual rates for 2013&#x02013;2022 and 2003&#x02013;2012 were 0.44 (95% CI 0.39&#x02013;0.49) and 0.23 (95% CI 0.20&#x02013;0.26), respectively. The adjusted RR (1.96, 95% CI 1.75&#x02013;2.20) increased significantly during 2013&#x02013;2022 vs. 2003&#x02013;2012; results were similar when excluding international travel-related infections.</p><p id="P25">From visual inspection of <italic toggle="yes">S</italic>. Infantis incidence by year for an overall side-by-side comparison with LEDS data, annual rates from the two systems appeared to align for most of the overlapping years from 1996 through 2018 (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 1</xref>).</p></sec><sec id="S19"><title>Characteristics of S. Infantis infections (2006&#x02013;2020)</title><p id="P26">FoodNet sites reported 2,363 <italic toggle="yes">S.</italic> Infantis infections. Among persons with these infections, 72.0% were adults (&#x02265;18 years), 58.0% were female, 59.4% were non-Hispanic (NH) White, 9.3% reported international travel, and 26.8% were hospitalized (<xref rid="T2" ref-type="table">Tables 2</xref>, <xref rid="T3" ref-type="table">3</xref>; <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref>).</p><p id="P27"><italic toggle="yes">S.</italic> Infantis infections were more likely than other <italic toggle="yes">Salmonella</italic> infections among persons who were 45&#x02013;64 years (adjusted odds ratio [aOR]=1.29, 95% CI 1.11&#x02013;1.50) and &#x02265;65 years old (aOR=1.32, 95% CI 1.12&#x02013;1.56); female (aOR 1.14, 95% CI 1.04&#x02013;1.26); NH Asian or Pacific Islander (Asian/PI) (aOR=3.65, 95% CI 3.09&#x02013;4.30), of multiple or other/unknown race/ethnicity (aOR=1.59, 95% CI 1.22&#x02013;2.07), and Hispanic or Latino (1.31, 95% 1.13&#x02013;1.51); and those who had an isolate from urine (aOR=2.06, 95% 1.75&#x02013;2.42) and an outbreak-associated infection (aOR=1.20, 95% CI 1.03&#x02013;1.39) (<xref rid="T2" ref-type="table">Table 2</xref>). <italic toggle="yes">S.</italic> Infantis infections were less likely among persons who had an isolate from blood (aOR=0.64, 95% CI 0.50, 0.83). In the univariable analysis, persons with <italic toggle="yes">S.</italic> Infantis infections were less likely to present with fever (OR=0.59, 95% CI 0.53&#x02013;0.66), diarrhea (OR=0.61, 95% CI 0.52&#x02013;0.72), and bloody diarrhea (OR=0.61, 95% CI 0.54&#x02013;0.69), and more likely to report diabetes (OR=2.14, 95% CI 1.55&#x02013;2.96); history of diabetes was unknown in 40.0% among <italic toggle="yes">S</italic>. Infantis and 39.2% among other <italic toggle="yes">Salmonella</italic> infections (<xref rid="T3" ref-type="table">Table 3</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref>). Persons with <italic toggle="yes">S.</italic> Infantis infections had a lower proportion hospitalized than other <italic toggle="yes">Salmonella</italic> infections (26.8% vs. 29.0%; OR=0.90, 95% CI 0.82&#x02013;0.98). However, the difference was not statistically significant after adjusting for covariates in the multivariable model with hospitalization as dependent variable; isolation from blood and age &#x02265; 65 years were the strongest predictors of hospitalization among <italic toggle="yes">S</italic>. Infantis infections (<xref rid="T3" ref-type="table">Table 3</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 3</xref>).</p></sec><sec id="S20"><title>Characteristics of REPJFX01 infections (2016&#x02013;2020)</title><p id="P28">FoodNet sites reported 1,001 <italic toggle="yes">S.</italic> Infantis infections; 703 (70.2%) were linked to PulseNet WGS data, of which 248 (35.3%) were REPJFX01. Among persons with the REPJFX01 infections, 86.3% were adults (&#x02265;18 years), 70.0% were female, 71.2% were NH White, 30.6% were hospitalized, 2 (0.8%) died, and 10.8% reported international travel (<xref rid="T4" ref-type="table">Tables 4</xref>, <xref rid="T5" ref-type="table">5</xref>). Of 23 persons with known travel destination, the Dominican Republic (45.5%) and Ecuador or Peru (40.9%) were reported most often (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 5</xref>).</p><p id="P29">REPJFX01 infections were more likely than other <italic toggle="yes">Salmonella</italic> infections among persons who were 45&#x02013;64 years (aOR=1.95, 95% CI 1.08&#x02013;3.51) and &#x02265;65 years old (aOR=2.34, 95% CI 1.28&#x02013;4.27); female (aOR=1.46, 95% CI 1.06&#x02013;2.00); and those who had an isolate from urine (aOR=4.82, 95% CI 3.35&#x02013;6.92) and other sources (aOR=3.20, 95% CI 1.67&#x02013;6.13) (<xref rid="T4" ref-type="table">Table 4</xref>). In the univariable analysis, persons with REPJFX01 infections were less likely to present with fever (OR=0.47, 95% CI 0.36&#x02013;0.62), diarrhea (OR 0.28, 95% CI 0.20&#x02013;0.40), and bloody diarrhea (OR=0.38, 95% CI 0.27&#x02013;0.55), and more often reported diabetes (OR=4.44, 95% CI 2.85&#x02013;6.91); history of diabetes was unknown in 42.8% among REPJFX01 and 39.2% among other <italic toggle="yes">Salmonella</italic> infections (<xref rid="T5" ref-type="table">Table 5</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 6</xref>). The proportion of patients with REPJFX01 infections (30.6%) that were hospitalized was comparable with that among other <italic toggle="yes">Salmonella</italic> infections (30.1%). The difference was also not statistically significant after adjusting for covariates in the multivariable model with hospitalization as dependent variable; isolation from blood and age &#x02265; 65 years were the strongest predictors of hospitalization among REPJFX01 infections compared with other <italic toggle="yes">Salmonella</italic> infections. (<xref rid="T5" ref-type="table">Table 5</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 3</xref>).</p><p id="P30">We also compared REPJFX01 with non-REPJFX01 <italic toggle="yes">S.</italic> Infantis infections. The difference by sex was not statistically significant in the multivariable analysis. REPJFX01 infections were less likely among NH Asian/PI persons (aOR=0.19, 95% CI 0.05&#x02013;0.70) (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>); 3 (1.3%) isolates from NH Asian/PI persons were REPJFX01. In the univariable analysis, REPJFX01 infections had a higher likelihood of hospitalization than non-REPJFX01infections (30.6% vs. 22.7%; OR=1.50, 95% CI 1.06&#x02013;2.14) (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>). However, the difference was not significant after adjusting for covariates in the multivariable model with hospitalization as dependent variable; isolation from blood and age &#x02265; 65 years were also the strongest predictors of hospitalization among REPJFX01 infections compared with non-REPJFX01 infections (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 3</xref>).</p></sec><sec id="S21"><title>Other associations</title><p id="P31">Compared with other <italic toggle="yes">Salmonella</italic> infections, <italic toggle="yes">S.</italic> Infantis infections were less likely in the South; REPJFX01 infections were more likely in the Northeast and less likely in the South (<xref rid="T2" ref-type="table">Tables 2</xref>, <xref rid="T4" ref-type="table">4</xref>). We found potential interaction between race-ethnicity and region and report aORs for race-ethnicity among <italic toggle="yes">S.</italic> Infantis infections stratified by region (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 7</xref>).</p></sec></sec><sec id="S22"><title>PulseNet and NARMS: Overall S. Infantis and REPJFX01 by state and year (2012&#x02013;2022)</title><p id="P32">In PulseNet, REPJFX01 was first detected in 2012. All 50 states uploaded <italic toggle="yes">S.</italic> Infantis isolates to PulseNet during 2012&#x02013;2022 (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 2</xref>). Among 9,917 sequenced <italic toggle="yes">S.</italic> Infantis isolates from U.S. cases in PulseNet, 2,839 (28.6%) were REPJFX01. There were &#x0003c;50 isolates sequenced per year before 2014, and &#x02265;100 isolates per year since 2015. Peak submissions were in the summer months for most years (<xref rid="F3" ref-type="fig">Figure 3</xref>). REPJFX01 was detected in 10.1%&#x02013;17.5% of isolates during 2014&#x02013;2016, increased to 31.2% in 2018, peaked at 34.3% in 2019, and remained high through 2022 (<xref rid="F4" ref-type="fig">Figure 4</xref>). The average percentage of REPJFX01 isolates during 2018&#x02013;2022 (30.8%) was significantly higher than the average (20.8%) during 2013&#x02013;2017 (aOR=2.09, 95% CI 1.56&#x02013;2.79).</p><p id="P33">In NARMS, REPJFX01 was also first detected in 2012 among sequenced isolates; there was a similar increase in REPJFX01, which peaked at 34.3% in 2020 (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 3</xref>). Because there were few REPJFX01 isolates before 2017, we did not use a multivariable model to compare 2018&#x02013;2022 with 2013&#x02013;2017.</p></sec><sec id="S23"><title>PulseNet and NARMS: Molecular characteristics of REPJFX01 isolates and predicted antimicrobial resistance among S. Infantis isolates (2012&#x02013;2022)</title><p id="P34">Of the <italic toggle="yes">S.</italic> Infantis isolates sequenced in PulseNet and NARMS, 6,542 were analyzed for predicted resistance; 2,778 (42.5%) were REPJFX01. The presence of pESI-like plasmid and <italic toggle="yes">gyrA87</italic> mutation were detected in 97% and 99.8% of REPJFX01 isolates, respectively.</p><p id="P35">Predicted resistance to 8 antimicrobial classes was higher among REPJFX01 than among non&#x02013;REPJFX01 isolates (p &#x0003c;0.01): quinolones (99.9%), aminoglycosides (96.8%), folate pathway inhibitors (94.3%), tetracyclines (90.2%), penicillins (60.9%), cephalosporins (60.7%), phenicols (56.9%), and fosfomycin (25.5%) (<xref rid="T6" ref-type="table">Table 6</xref>). Nearly half (49.6%) of REPJFX01 isolates were resistant to &#x02265;7 classes, compared with 0.7% of non-REPJFX01 isolates (p &#x0003c;0.01). Predicted resistance to azithromycin was low among REPJFX01 (0.4%) and <italic toggle="yes">S</italic>. Infantis overall (0.3%).</p></sec><sec id="S24"><title>NORS: S. Infantis outbreaks (1998&#x02013;2021)</title><p id="P36">Of 122 outbreaks with <italic toggle="yes">S.</italic> Infantis infections, multiple serotypes were reported in 18. The 104 <italic toggle="yes">S.</italic> Infantis-only outbreaks caused 2,953 illnesses, 460 hospitalizations, and 5 deaths; 19 (18.3%) were multistate (<xref rid="T7" ref-type="table">Table 7</xref>). The primary modes of transmission included 69 (66.3%) foodborne and 14 (13.5%) animal contact. Of the 69 foodborne outbreaks, 20 (29.0%) were linked to a single food category, including consumption of pork (<xref rid="R7" ref-type="bibr">7</xref>) and chicken (<xref rid="R4" ref-type="bibr">4</xref>).</p><p id="P37">The 14 animal contact outbreaks were linked to a single animal category: live chicken and other poultry (<xref rid="R13" ref-type="bibr">13</xref>) and dry dog food (<xref rid="R1" ref-type="bibr">1</xref>). The dog-associated outbreak, which included cases in 2011&#x02013;2012, was the first detected since reporting of animal contact outbreaks began in 2009. Poultry-associated outbreaks linked to animal contact were first reported in 2012.</p><p id="P38">All 17 <italic toggle="yes">S.</italic> Infantis outbreaks linked to a single food or animal category that were associated with chicken consumption or live poultry exposure occurred during 2012&#x02013;2021, accounting for 73.9% of 23 outbreaks during this period; 63.6% of 11 outbreaks that occurred before 2012 were linked to pork or other meat (<xref rid="T7" ref-type="table">Table 7</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 4</xref>). A large outbreak of REPJFX01 infections in 2018&#x02013;2019 was linked to consumption of raw chicken products, causing 129 illnesses, 25 hospitalizations, and 1 death (<italic toggle="yes">5, 11.18</italic>).</p></sec></sec><sec id="S25"><title>Discussion</title><p id="P39"><italic toggle="yes">S.</italic> Infantis has re-emerged as a major serotype causing <italic toggle="yes">Salmonella</italic> infections in the United States. In FoodNet, <italic toggle="yes">S.</italic> Infantis has been among the 10 most commonly reported serotypes since 2013 and increases in incidence have been described in previous annual reports (<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref>). We estimate that the average annual incidence of <italic toggle="yes">S.</italic> Infantis infections was almost twice as high during 2013&#x02013;2022 as it was during 2003&#x02013;2012.</p><p id="P40">An increase in <italic toggle="yes">S.</italic> Infantis infections during the more recent 10-year period was likely driven by an increase in REPJFX01 <italic toggle="yes">S.</italic> Infantis, which accounted for nearly one-third of overall <italic toggle="yes">S.</italic> Infantis infections during 2018&#x02013;2022. The acquisition of pESI could have allowed <italic toggle="yes">S.</italic> Infantis to proliferate in U.S. poultry production settings and drive an increase in human infections (<xref rid="R5" ref-type="bibr">5</xref>), similar to the spread of <italic toggle="yes">S.</italic> Infantis in the European poultry production system (<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R31" ref-type="bibr">31</xref>). The emergence of REPJFX01, typically containing pESI carrying multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin, is concerning. Nearly all REPJFX01 isolates had predicted decreased susceptibility to ciprofloxacin, and more than half had predicted resistance to ceftriaxone, limiting first-line treatment options and increasing the likelihood of treatment failures for severe salmonellosis (<xref rid="R6" ref-type="bibr">6</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R25" ref-type="bibr">25</xref>). Blood cultures and antimicrobial susceptibility testing (AST) are recommended to tailor the choice of antimicrobial treatment. Because of the low rates of predicted resistance to azithromycin among REPJFX01 and <italic toggle="yes">S</italic>. Infantis overall, this drug remains a viable treatment option (<xref rid="R7" ref-type="bibr">7</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref>). However, clinical breakpoints using traditional AST methods to determine resistance to azithromycin among nontyphoidal <italic toggle="yes">Salmonella</italic> serotypes have not been established by the Clinical and Laboratory Standards Institute (<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R33" ref-type="bibr">33</xref>). Our findings underscore the need for further research on clinical outcomes and other data to support establishing clinical breakpoints for azithromycin and continued monitoring of resistance genes and mechanisms conferring resistance to antimicrobial agents recommended for invasive <italic toggle="yes">Salmonella</italic> infections (<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R33" ref-type="bibr">33</xref>).</p><p id="P41">Comparing <italic toggle="yes">S.</italic> Infantis with other <italic toggle="yes">Salmonella</italic> infections, we found differences in demographic and other patient characteristics. These associations appeared to be stronger when we compared the subset of <italic toggle="yes">S.</italic> Infantis infections caused by REPJFX01 with other <italic toggle="yes">Salmonella</italic> infections&#x02014;reflected in higher proportions that were female, &#x02265;45 years (particularly &#x02265;65), had isolates from urine, and reported diabetes, while fever and diarrheal illness were less represented among REPJFX01 infections. These findings suggest that increased urinary isolates among <italic toggle="yes">S.</italic> Infantis and REPJFX01 infections could represent increased urinary tract infections (UTIs), versus asymptomatic bacteriuria or specimen contamination from feces (<xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R37" ref-type="bibr">37</xref>), compared with other <italic toggle="yes">Salmonella</italic> infections. Previous studies support these findings that infections with <italic toggle="yes">Salmonella</italic> isolated from urine were predominantly among older adults, female patients, and those with underlying conditions (e.g., diabetes) (<xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R37" ref-type="bibr">37</xref>). There is a growing body of literature on foodborne transmission of pathogens causing UTIs, including a study of <italic toggle="yes">Salmonella</italic> UTIs using foodborne outbreak data; a small survey of patients from the study documented that consumption of contaminated food occurred before the illnesses (<xref rid="R34" ref-type="bibr">34</xref>). In addition to <italic toggle="yes">S</italic>. Infantis, other serotypes have been isolated more often from urine than serotypes belonging to commonly reported <italic toggle="yes">Salmonella</italic> groups, suggesting that these serotypes could have a predilection for invading the urinary tract (<xref rid="R35" ref-type="bibr">35</xref>, <xref rid="R36" ref-type="bibr">36</xref>). A better understanding of the uropathogenicity of <italic toggle="yes">S.</italic> Infantis can help clarify mechanisms of <italic toggle="yes">Salmonella</italic> UTIs (<xref rid="R36" ref-type="bibr">36</xref>).</p><p id="P42"><italic toggle="yes">S.</italic> Infantis infections were more likely than other <italic toggle="yes">Salmonella</italic> infections among persons from racial and ethnic minority groups, particularly NH Asian/PI. REPJFX01 infections were more likely than other <italic toggle="yes">Salmonella</italic> infections in the Northeast. However, <italic toggle="yes">S.</italic> Infantis infections among NH Asian/PI persons were less likely to be due to REPJFX01. The reasons for these associations are unknown, but may reflect differences in exposures (e.g., meat and other food consumption, food preparation, animal contact) and warrant further investigation of potential interactions between race-ethnicity and region.</p><p id="P43">There were notable findings from the unadjusted analyses of hospitalization among patients with <italic toggle="yes">S.</italic> Infantis and REPJFX01, although they were not significant in the multivariable analyses and need to be interpreted with caution. Patients with <italic toggle="yes">S.</italic> Infantis infections had a lower proportion hospitalized than that for other <italic toggle="yes">Salmonella</italic> infections. This could be related to <italic toggle="yes">S.</italic> Infantis being less likely to be isolated from blood and more likely from urine than other <italic toggle="yes">Salmonella</italic> infections, which include infections caused by Typhimurium and Enteritidis; strains of these two most common serotypes have been associated with multidrug resistance or invasive illness (<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R38" ref-type="bibr">38</xref>,<xref rid="R39" ref-type="bibr">39</xref>). Patients with REPJFX01 infections had a higher proportion hospitalized than those with non-REPJFX01 infections, suggesting that REPJFX01 can cause more severe illness than non-REPJFX01. This association could be related to the presence of virulence genes associated with pESI. Genomic analyses have shown diversity in <italic toggle="yes">S.</italic> Infantis subpopulations, and further research is needed to identify <italic toggle="yes">Salmonella</italic> genes associated with severe illness (<xref rid="R40" ref-type="bibr">40</xref>&#x02013;<xref rid="R43" ref-type="bibr">43</xref>). In the multivariable analyses with hospitalization as the dependent variable, adjusted for the serotype (<italic toggle="yes">S</italic>. Infantis vs. other <italic toggle="yes">Salmonella</italic>) or strain category (REPJFX01 vs other <italic toggle="yes">Salmonella</italic> and vs. non-REPJFX01), the strongest predictors were blood isolation (indicating bloodstream infection or severe illness) and older age (&#x02265;65 years). Associations between these clinical predictors and hospitalization have been described in previous studies on salmonellosis (<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R39" ref-type="bibr">39</xref>,<xref rid="R44" ref-type="bibr">44</xref>). Hospitalization was not predictable from the serotype or strain category, after adjusting for other factors, including specimen source and patient&#x02019;s age.</p><p id="P44">In addition to travel to South America (Ecuador and Peru), which was associated with early U.S. cases (<xref rid="R12" ref-type="bibr">12</xref>), travel to the Dominican Republic was reported among patients with REPJFX01 infections. This highlights the need for continued monitoring of international travel destinations that could be associated with increased risk of REPJFX01 infections.</p><p id="P45">Poultry-associated outbreaks, first reported to NORS in 2012, accounted for most <italic toggle="yes">S.</italic> Infantis outbreaks linked to a single food or animal category during 2012&#x02013;2021 (<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R45" ref-type="bibr">45</xref>). <italic toggle="yes">S.</italic> Infantis was one of three serotypes classified as high burden and increased trajectory from a 2012&#x02013;2021 study of <italic toggle="yes">Salmonella</italic> outbreaks associated with consumption of chicken and other meat (<xref rid="R46" ref-type="bibr">46</xref>). These findings underscore that strategies for preventing or reducing <italic toggle="yes">Salmonella</italic> contamination of chicken and other poultry, such as poultry vaccines and other on-farm prevention measures, could help prevent <italic toggle="yes">S.</italic> Infantis infections, including those caused by REPJFX01 (<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R46" ref-type="bibr">46</xref>&#x02013;<xref rid="R51" ref-type="bibr">51</xref>). Live poultry-associated outbreaks highlight the need for strategies involving partners in human, animal, and environmental health (<xref rid="R51" ref-type="bibr">51</xref>,<xref rid="R52" ref-type="bibr">52</xref>).</p><p id="P46">Our analysis had limitations. LEDS and NORS are passive surveillance systems in 50 states and underreporting likely occurs and varies by state and year (<xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R45" ref-type="bibr">45</xref>). In FoodNet, which conducts active surveillance in 10 sites, the regional differences may not be generalized to the U.S. population but were important considerations in adjusting for potential confounding in the multivariable analyses. We used <italic toggle="yes">S.</italic> Infantis incidence data from LEDS and FoodNet but did not make formal comparisons between changes in incidence observed in the two systems. Despite differences in population coverage and type of surveillance, incidence rates from LEDS and FoodNet appeared to align, which supports our findings of increased incidence of <italic toggle="yes">S</italic>. Infantis infections during the more recent period. Associations of <italic toggle="yes">S.</italic> Infantis and REPJFX01 infections with reported diabetes are notable but should be interpreted with caution because of high percentages of missing data. The proportions of missingness from the comparisons, <italic toggle="yes">S</italic>. Infantis and REPJFX01 vs. other <italic toggle="yes">Salmonella</italic> infections, were similar. However, there is potential for bias, particularly if the data were not missing completely at random. Collection of data on diabetes and other comorbidities in FoodNet started in 2018, and thus, we only included such data in the univariable analyses. Despite the limitations, we highlighted the findings on reported history of diabetes from the univariable analyses, which are interesting and consistent with previous studies (<xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R37" ref-type="bibr">37</xref>). Further investigation to evaluate the pattern of missingness and explore methods, such as multiple imputations or sensitivity analyses, might be appropriate to better understand these associations. Inferences can be affected by the choice of time periods and estimates of significant changes between periods can reflect year-to-year variation within periods rather than sustained trends (<xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R53" ref-type="bibr">53</xref>). Confidence intervals from the negative binomial models to assess changes in incidence are likely too narrow because of unaccounted sources of uncertainty (e.g., dependence between cases in large multi-year or multi-state outbreaks). That said, our findings of increased incidence of <italic toggle="yes">S</italic>. Infantis infections were observed in both LEDS and FoodNet and were consistent with other observations (<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R54" ref-type="bibr">54</xref>). Therefore, although our comparisons were subject to greater uncertainties, these findings have important public health implications. Although our methods and research questions differed from those used by Powell and Williams, which assessed coincident trends from two separate data streams, we found a similar increase in <italic toggle="yes">S.</italic> Infantis incidence in FoodNet sites (<xref rid="R54" ref-type="bibr">54</xref>). In PulseNet, completeness of WGS submissions can vary by state, sequencing was limited before 2015, and use of WGS to identify potential outbreaks started in 2019; similarly, there was variability in completeness of state reporting of PulseNet identifiers in NORS. Therefore, earlier clusters of REPJFX01 may have been difficult to detect. We did not use co-localization, contig analysis, or other supporting methods to assess the linkage of resistance genes to pESI-like plasmids, which was inferred solely on the presence of the <italic toggle="yes">Inc</italic>FIB(pN55391) replicon. Although this approach served as a useful proxy, particularly for screening of pESI-like plasmids among <italic toggle="yes">S</italic>. Infantis isolates designated as REPJFX01 using the PulseNet definition (i.e., related by cgMLST within a range of 0&#x02013;82 alleles), we recognize the potential for multiple plasmids to be present in a single isolate and for resistance genes to be chromosomally integrated. Given the size of this plasmid and that routine PulseNet sequencing was performed using short read data, association of specific resistance genes can be challenging, particularly at scale. In NARMS, WGS was limited in earlier years and the 1 in 20 submission scheme yielded a much smaller number of isolates (<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref>). Not all <italic toggle="yes">S.</italic> Infantis outbreaks were captured in NORS, including two live poultry-associated outbreaks that occurred before reporting of animal contact outbreaks began in 2009 (<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R51" ref-type="bibr">51</xref>).</p><p id="P47">The proliferation of <italic toggle="yes">S.</italic> Infantis in U.S. poultry is likely related to the presence of pESI, conferring selective advantage&#x02014;including enhanced antimicrobial resistance, resistance to disinfectants, stress tolerance, and virulence; pESI has also shown ability to conjugate into other serotypes (<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R13" ref-type="bibr">13</xref>&#x02013;<xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R40" ref-type="bibr">40</xref>&#x02013;<xref rid="R43" ref-type="bibr">43</xref>,<xref rid="R47" ref-type="bibr">47</xref>). Therefore, prevention efforts in poultry production could be critical to limit not only proliferation of <italic toggle="yes">S.</italic> Infantis and REPJFX01 strains but also the spread of pESI to other serotypes, reports of which are concerning (<xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R47" ref-type="bibr">47</xref>&#x02013;<xref rid="R50" ref-type="bibr">50</xref>). Further research to characterize virulence genes in REPJFX01 isolates from human infections and chicken products, and to assess disinfectant resistance in <italic toggle="yes">S</italic>. Infantis strains from poultry production environments, could offer important insights into the pathogenic potential of REPJFX01 and the persistence of <italic toggle="yes">S</italic>. Infantis in food production settings (<xref rid="R40" ref-type="bibr">40</xref>&#x02013;<xref rid="R43" ref-type="bibr">43</xref>, <xref rid="R47" ref-type="bibr">47</xref>,<xref rid="R48" ref-type="bibr">48</xref>). Because plasmids carrying multidrug resistance may be maintained by selection pressure from use of agents for which there is resistance, judicious antimicrobial use in humans and food animal production is crucial to prevent the emergence and spread of multidrug-resistant <italic toggle="yes">Salmonella</italic> strains (<xref rid="R55" ref-type="bibr">55</xref>). As fluoroquinolone use in U.S. poultry has been prohibited since 2005, other potential drivers of REPJFX01 need to be explored, including use of antimicrobials from other drug classes, particularly those linked to high rates of resistance among REPJFX01 (e.g., aminoglycosides, sulfonamides, tetracyclines), and resistance to commonly used disinfectants in poultry production (<xref rid="R47" ref-type="bibr">47</xref>,<xref rid="R48" ref-type="bibr">48</xref>,<xref rid="R56" ref-type="bibr">56</xref>). Additionally, studies have shown that once resistance-conferring mutations, such as those in <italic toggle="yes">gyrA</italic>, are established, they can persist in bacterial populations even in the absence of selective pressure due to minimal associated fitness cost. This may help explain the continued presence of fluoroquinolone resistance in <italic toggle="yes">Salmonella</italic> despite the discontinued use of this drug in poultry (<xref rid="R57" ref-type="bibr">57</xref>). International collaboration and a One Health approach can advance the identification and implementation of strategies for addressing this food safety concern in the poultry industry (<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R47" ref-type="bibr">47</xref>&#x02013;<xref rid="R50" ref-type="bibr">50</xref>).</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>1</label><media xlink:href="NIHMS2113790-supplement-1.pdf" id="d67e1417" position="anchor"/></supplementary-material></sec></body><back><ack id="S26"><title>Acknowledgments</title><p id="P48">We thank state and local health departments and their public health laboratories for their contributions to the Foodborne Diseases Active Surveillance Network (FoodNet), Laboratory-Based Enteric Disease Surveillance (LEDS), National Antimicrobial Resistance Monitoring System (NARMS), National Outbreak Reporting System (NORS), and PulseNet. We acknowledge Taylor Eisenstein and Logan Ray for their assistance with NORS and FoodNet data. We are grateful to our NARMS and other colleagues from the Food and Drug Administration Center for Veterinary Medicine and the U.S. Department of Agriculture Food Safety Inspection Service for their comments.</p><sec id="S27"><title>Funding and support</title><p id="P49">This work was supported by the Centers for Disease Control and Prevention.</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P50">Disclosure statement</p><p id="P51">The authors report there are no competing interests to declare.</p></fn><fn id="FN2"><p id="P52">Disclaimers</p><p id="P53">The opinions expressed by authors contributing to this report do not necessarily reflect the opinions of the Centers for Disease Control and Prevention.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Collier</surname><given-names>SA</given-names></name>, <name><surname>Deng</surname><given-names>L</given-names></name>, <name><surname>Adam</surname><given-names>EA</given-names></name>, <name><surname>Benedict</surname><given-names>KM</given-names></name>, <name><surname>Beshearse</surname><given-names>EM</given-names></name>, <name><surname>Blackstock</surname><given-names>AJ</given-names></name>, <etal/>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1:</label><caption><title>Annual incidence (per 100,000 persons) of <italic toggle="yes">Salmonella</italic> ser. Infantis and other <italic toggle="yes">Salmonella</italic> infections&#x02014;Laboratory-Based Enteric Disease Surveillance (LEDS), 1979&#x02013;2018.</title><p id="P54">The 20 most common serotypes were determined from culture-confirmed infections reported to LEDS and included <italic toggle="yes">S.</italic> Infantis and other common serotypes: Typhimurium, Enteritidis, Newport, Heidelberg, Javiana, Montevideo, Muenchen, Saintpaul, Agona, Hadar, I 4,[5],12:i:-, Oranienburg, Thompson, Braenderup, Mississippi, Paratyphi B var. L(+) tartrate+, Berta, Poona, Anatum. Typhimurium and Enteritidis were the two leading serotypes, accounting for 52% of isolates from other <italic toggle="yes">Salmonella</italic> infections.</p></caption><graphic xlink:href="nihms-2113790-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2:</label><caption><title>Annual incidence (per 100,000 persons) of <italic toggle="yes">Salmonella</italic> ser. Infantis infections&#x02014;Foodborne Diseases Active Surveillance Network (FoodNet), 1996&#x02013;2022.</title><p id="P55">FoodNet began active surveillance for laboratory-confirmed <italic toggle="yes">Salmonella</italic> infections in 5 sites in 1996 and gradually expanded until 2004 when it stabilized to its current 10-site catchment (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN). Nontravel-related infections exclude infections among persons who reported international travel (i.e., travel outside the United States) in the 7 days before illness onset. FoodNet has collected international travel history since 2004.</p></caption><graphic xlink:href="nihms-2113790-f0002" position="float"/></fig><fig position="float" id="F3"><label>Figure 3:</label><caption><title>Number of REPJFX01 isolates, by month and year&#x02014;PulseNet, 2012&#x02013;2022.</title><p id="P56">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin. Isolation date was used to assign month and year when available. REPJFX01isolates (n=2,839) from the 50 U.S. states were included.</p></caption><graphic xlink:href="nihms-2113790-f0003" position="float"/></fig><fig position="float" id="F4"><label>Figure 4:</label><caption><title>Number of sequenced <italic toggle="yes">Salmonella</italic> ser. Infantis isolates and percentage of REPJFX01 isolates, by year&#x02014;PulseNet, 2012&#x02013;2022.</title><p id="P57">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin. <italic toggle="yes">S.</italic> Infantis isolates (n=9,917) from the 50 U.S. states were included. Only 1 isolate from each <italic toggle="yes">S.</italic> Infantis infection was typically sequenced; however, some <italic toggle="yes">S.</italic> Infantis infections could have &#x0003e;1 isolate sequenced and uploaded to PulseNet. Percentages of REPJFX01 for 2012 and 2013 (&#x0003c;50 isolates sequenced) are shown in dotted line.</p></caption><graphic xlink:href="nihms-2113790-f0004" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1:</label><caption><p id="P58">Description of statistical methods for analysis</p></caption><table frame="hsides" rules="rows"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Data sources<xref rid="TFN1" ref-type="table-fn">*</xref> (available data years)</th><th align="left" valign="middle" rowspan="1" colspan="1">Purpose</th><th align="left" valign="middle" rowspan="1" colspan="1">Multivariable model<xref rid="TFN2" ref-type="table-fn">&#x02020;</xref></th><th align="left" valign="middle" rowspan="1" colspan="1">Analysis approach</th><th align="left" valign="middle" rowspan="1" colspan="1">Years included or time periods compared<xref rid="TFN1" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>LEDS (1979&#x02013;2018)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">Assess changes in annual incidence of <italic toggle="yes">S.</italic> Infantis infections</td><td align="left" valign="top" rowspan="1" colspan="1">Negative binomial, adjusted for state (50 states)</td><td align="left" valign="top" rowspan="1" colspan="1">Compared average annual incidence for 2 time periods</td><td align="left" valign="top" rowspan="1" colspan="1">2009&#x02013;2018 vs. 1999&#x02013;2008</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>FoodNet</bold><xref rid="TFN3" ref-type="table-fn">&#x02021;</xref>
<bold>(1996&#x02013;2022</bold>)</td><td align="left" valign="top" rowspan="1" colspan="1">Assess changes in annual incidence of <italic toggle="yes">S.</italic> Infantis infections</td><td align="left" valign="top" rowspan="1" colspan="1">Negative binomial, adjusted for site (10 sites)</td><td align="left" valign="top" rowspan="1" colspan="1">Compared average annual incidence for 2 time periods</td><td align="left" valign="top" rowspan="1" colspan="1">2013&#x02013;2022 vs. 2003&#x02013;2012</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>FoodNet</bold><xref rid="TFN3" ref-type="table-fn">&#x02021;</xref>
<bold>(1996&#x02013;2020)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">Assess demographic and other factors associated with <italic toggle="yes">S</italic>. Infantis and REPJFX01 infections<xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">Logistic regression, <italic toggle="yes">S.</italic> Infantis and REPJFX01 as dependent variables, adjusted for selected variables<xref rid="TFN5" ref-type="table-fn">&#x000b6;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">Compared demographic and clinical characteristics of <italic toggle="yes">S.</italic> Infantis and REPJFX01 vs. other <italic toggle="yes">Salmonella</italic> infections, and REPJFX01 vs. non-REPJFX01 infections<xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref><xref rid="TFN5" ref-type="table-fn">&#x000b6;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2006&#x02013;2020 for <italic toggle="yes">S.</italic> Infantis, 2016&#x02013;2020 for REPJFX01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>FoodNet</bold><xref rid="TFN3" ref-type="table-fn">&#x02021;</xref>
<bold>(1996&#x02013;2020)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">Assess association between hospitalization and <italic toggle="yes">S.</italic> Infantis, REPJFX01 infections<xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">Logistic regression, hospitalization as dependent variable, adjusted for selected variables<xref rid="TFN5" ref-type="table-fn">&#x000b6;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">Compared hospitalization among <italic toggle="yes">S.</italic> Infantis and REPJFX01 vs. other <italic toggle="yes">Salmonella</italic> infections, and among REPJFX01 vs. non-REPJFX01s infections<xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref><xref rid="TFN5" ref-type="table-fn">&#x000b6;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2006&#x02013;2020 for <italic toggle="yes">S.</italic> Infantis, 2016&#x02013;2020 for REPJFX01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>PulseNet (1998&#x02013;2022)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">Assess changes in annual percentage of REPJFX01<xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref> among <italic toggle="yes">S.</italic> Infantis isolates</td><td align="left" valign="top" rowspan="1" colspan="1">Logistic regression, REPJFX01 as dependent variable, adjusted for region (4 U.S. Census regions)</td><td align="left" valign="top" rowspan="1" colspan="1">Compared average annual percentage of REPJFX01 among <italic toggle="yes">S.</italic> Infantis isolates for 2 time periods</td><td align="left" valign="top" rowspan="1" colspan="1">2012&#x02013;2022 (percentage by year), compared 2018&#x02013;2022 vs. 2013&#x02013;2017</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>NARMS (1996&#x02013;2022)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">Describe antimicrobial resistance (AR) among <italic toggle="yes">S.</italic> Infantis isolates</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Descriptive analysis of AR among <italic toggle="yes">S.</italic> Infantis based on predicted resistance<xref rid="TFN6" ref-type="table-fn">**</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2012&#x02013;2022</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>NORS</bold><xref rid="TFN7" ref-type="table-fn">&#x02020;&#x02020;</xref>
<bold>(1998&#x02013;2021)</bold></td><td align="left" valign="top" rowspan="1" colspan="1">Describe sources and characteristics of <italic toggle="yes">S.</italic> Infantis outbreaks</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Descriptive analysis of <italic toggle="yes">S.</italic> Infantis outbreak data<xref rid="TFN7" ref-type="table-fn">&#x02020;&#x02020;</xref></td><td align="left" valign="top" rowspan="1" colspan="1">1998&#x02013;2021</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P59">Sources of surveillance data include the Laboratory-Based Enteric Disease Surveillance (LEDS) system, Foodborne Diseases Active Surveillance Network (FoodNet), PulseNet (national molecular subtyping network for foodborne disease surveillance), National Antimicrobial Resistance Monitoring System (NARMS), and National Outbreak Reporting System (NORS).</p></fn><fn id="TFN2"><label>&#x02020;</label><p id="P60">Negative binomial models included a log link function and a log offset for the population of each site each year. Population data from the U.S. Census Bureau were used. Rate ratios from negative binomial models and odds ratios from logistic regression models that do not include 1.0 in the 95% confidence intervals were considered statistically significant.</p></fn><fn id="TFN3"><label>&#x02021;</label><p id="P61">FoodNet collects data on patient demographics, specimen source, hospitalization, deaths, international travel in the 7 days before illness onset, outbreak association, symptoms (since 2011), and selected comorbidities (since 2018). The 10 sites were grouped using the 4 U.S. Census regions in some analyses: Midwest (MN), Northeast (CT, NY), South (GA, MD, TN), and West (CA, CO, NM, OR).</p></fn><fn id="TFN4"><label>&#x000a7;</label><p id="P62">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin.</p></fn><fn id="TFN5"><label>&#x000b6;</label><p id="P63">Some results from multivariable analyses are shown in <xref rid="SD1" ref-type="supplementary-material">supplemental tables</xref>.</p></fn><fn id="TFN6"><label>**</label><p id="P64">Predicted resistance was based on the presence of resistance determinants, including genes and mutations, in the isolate&#x02019;s genome.</p></fn><fn id="TFN7"><label>&#x02020;&#x02020;</label><p id="P65">CDC has received reports of foodborne disease outbreaks to the Foodborne Disease Outbreak Surveillance System (<underline>FDOSS</underline>) electronically since 1998. The reporting platform NORS launched in 2009 to integrate outbreak reporting and includes data on all foodborne and waterborne outbreaks and enteric disease outbreaks transmitted by contact with environmental sources, infected persons or animals, or unknown modes. Information on outbreaks of human enteric illness linked to contact with animals or their environments has been collected through the Animal Contact Outbreak Surveillance System (ACOSS) (<ext-link xlink:href="https://www.cdc.gov/nors/about/acoss.html" ext-link-type="uri">https://www.cdc.gov/nors/about/acoss.html</ext-link>) since 2009. NORS isolate records with available WGS identifiers were linked to PulseNet WGS data to identify Infantis outbreaks that included REPJFX01 isolates.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>Table 2:</label><caption><p id="P66">Demographic and other characteristics of <italic toggle="yes">Salmonella</italic> ser. Infantis infections compared with infections caused by other common <italic toggle="yes">Salmonella</italic> serotypes&#x02014;Foodborne Diseases Active Surveillance Network (FoodNet), United States, 2006&#x02013;2020</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristics<xref rid="TFN8" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">S.</italic> Infantis n=2,363<xref rid="TFN8" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Other <italic toggle="yes">Salmonella</italic><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref> n=80,559<xref rid="TFN8" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Odds ratio (95% CI)<xref rid="TFN10" ref-type="table-fn">&#x02021;</xref><xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Adjusted odds ratio (95% CI)<xref rid="TFN10" ref-type="table-fn">&#x02021;</xref><xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/></tr></thead><tbody><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age group (y)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;0&#x02013;4</td><td align="center" valign="top" rowspan="1" colspan="1">425 (18.0)</td><td align="center" valign="top" rowspan="1" colspan="1">19,447 (24.1)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;5&#x02013;17</td><td align="center" valign="top" rowspan="1" colspan="1">236 (10.0)</td><td align="center" valign="top" rowspan="1" colspan="1">12,261 (15.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.88 (0.75, 1.03)</td><td align="center" valign="top" rowspan="1" colspan="1">0.71 (0.59, 0.85)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;18&#x02013;44</td><td align="center" valign="top" rowspan="1" colspan="1">697 (29.5)</td><td align="center" valign="top" rowspan="1" colspan="1">21,398 (26.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1.49 (1.32, 1.68)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.95, 1.27)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;45&#x02013;64</td><td align="center" valign="top" rowspan="1" colspan="1">596 (25.2)</td><td align="center" valign="top" rowspan="1" colspan="1">16,665 (20.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1.64 (1.44, 1.86)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.29 (1.11, 1.50)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265; 65</td><td align="center" valign="top" rowspan="1" colspan="1">409 (17.3)</td><td align="center" valign="top" rowspan="1" colspan="1">10,755 (13.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1.74 (1.52, 2.00)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.32 (1.12, 1.56)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="top" rowspan="1" colspan="1">992 (42.0)</td><td align="center" valign="top" rowspan="1" colspan="1">38,608 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="top" rowspan="1" colspan="1">1,368 (58.0)</td><td align="center" valign="top" rowspan="1" colspan="1">41,794 (52.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.27 (1.17, 1.38)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.14 (1.04, 1.26)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Race and ethnicity</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White, non-Hispanic (NH)</td><td align="center" valign="top" rowspan="1" colspan="1">1,218 (59.4)</td><td align="center" valign="top" rowspan="1" colspan="1">44,469 (66.5)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black, NH</td><td align="center" valign="top" rowspan="1" colspan="1">219 (10.7)</td><td align="center" valign="top" rowspan="1" colspan="1">9,822 (14.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.81 (0.70, 0.94)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.03 (0.87, 1.23)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Asian, Pacific Islander, NH</td><td align="center" valign="top" rowspan="1" colspan="1">228 (11.1)</td><td align="center" valign="top" rowspan="1" colspan="1">2,266 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">3.67 (3.17, 4.26)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">3.65 (3.09, 4.30)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Native American, NH</td><td align="center" valign="top" rowspan="1" colspan="1">17 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">520 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (0.73, 1.94)</td><td align="center" valign="top" rowspan="1" colspan="1">0.92 (0.54, 1.55)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Multiple, other, unknown race, NH</td><td align="center" valign="top" rowspan="1" colspan="1">71 (3.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1,941 (2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.34 (1.05, 1.70)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.59 (1.22, 2.07)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic or Latino</td><td align="center" valign="top" rowspan="1" colspan="1">296 (14.4)</td><td align="center" valign="top" rowspan="1" colspan="1">7,891 (11.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.37 (1.20, 1.56)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.31 (1.13, 1.51)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Specimen source</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stool</td><td align="center" valign="top" rowspan="1" colspan="1">1,964 (83.3)</td><td align="center" valign="top" rowspan="1" colspan="1">70,737 (88.2)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Blood</td><td align="center" valign="top" rowspan="1" colspan="1">80 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">4,246 (5.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.68 (0.54, 0.85)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">0.64 (0.50, 0.83)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urine</td><td align="center" valign="top" rowspan="1" colspan="1">264 (11.2)</td><td align="center" valign="top" rowspan="1" colspan="1">4,014 (5.0)</td><td align="center" valign="top" rowspan="1" colspan="1">2.37 (2.08, 2,70)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">2.06 (1.75, 2.42)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other</td><td align="center" valign="top" rowspan="1" colspan="1">51 (2.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1,185 (1.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1.55 (1.17, 2.06)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.38 (0.98, 1.93)</td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Year</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2006&#x02013;2010</td><td align="center" valign="top" rowspan="1" colspan="1">509 (21.5)</td><td align="center" valign="top" rowspan="1" colspan="1">27,007 (33.5)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2011&#x02013;2015</td><td align="center" valign="top" rowspan="1" colspan="1">853 (36.1)</td><td align="center" valign="top" rowspan="1" colspan="1">27,950 (34.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1.62 (1.45, 1.81)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.66 (1.45, 1.89)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2016&#x02013;2020</td><td align="center" valign="top" rowspan="1" colspan="1">1,001 (42.4)</td><td align="center" valign="top" rowspan="1" colspan="1">25,602 (31.8)</td><td align="center" valign="top" rowspan="1" colspan="1">2.08 (1.86, 2.31)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">2.01 (1.77, 2.29)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Region and state of residence</bold>
<xref rid="TFN12" ref-type="table-fn">&#x000b6;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>Midwest</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>384 (16.3)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>8,619 (10.7)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">Ref (region)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref (region)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;MN</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">384 (16.3)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">8,619 (10.7)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>Northeast</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>437 (18.5)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>10,188 (12.6)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.96 (0.84, 1.11)</td><td align="center" valign="top" rowspan="1" colspan="1">1.07 (0.92, 1.25)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CT</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">213 (9.0)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4,933 (6.2)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">NY</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">224 (9.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5,255 (6.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>South</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>825 (34.9)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>44,951 (55.8)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.41 (0.36, 0.47)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">0.49 (0.42, 0.56)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">GA</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">422 (17.9)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">25,837 (32.1)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">MD</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">126 (5.3)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">8,931 (11.1)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">TN</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">277 (11.7)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">10,183 (12.6)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>West</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>717 (30.3)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>16,801 (20.9)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.96 (0.84, 1.09)</td><td align="center" valign="top" rowspan="1" colspan="1">0.90 (0.78, 1.04)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CA</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">354 (15.0)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4,972 (6.2)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CO</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">119 (5.0)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3,509 (4.4)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">NM</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">83 (3.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3,628 (4.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">OR</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">161 (6.8)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4,692 (5.8)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>International travel<xref rid="TFN8" ref-type="table-fn">*</xref></bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">184 (9.3)</td><td align="center" valign="top" rowspan="1" colspan="1">5,555 (8.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.05 (0.90, 1.23)</td><td align="center" valign="top" rowspan="1" colspan="1">0.86 (0.73, 1.02)</td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Outbreak associated<xref rid="TFN8" ref-type="table-fn">*</xref></bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">248 (10.5)</td><td align="center" valign="top" rowspan="1" colspan="1">6,017 (7.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1.45 (1.27, 1.66)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.20 (1.03, 1.39)<xref rid="TFN11" ref-type="table-fn">&#x000a7;</xref></td></tr></tbody></table><table-wrap-foot><fn id="TFN8"><label>*</label><p id="P67">The total number of infections (n) are shown for years included; the total number with known data was used as denominator to calculate the percentage of infections for each category. Missing data were excluded (shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref>) in the univariable and multivariable analyses. Infections were categorized as &#x0201c;missing race-ethnicity&#x0201d; if ethnicity was missing, regardless of race data. International travel was defined as travel outside the United States within the 7 days before illness onset. The infection was categorized as outbreak associated if the case-patient was part of a recognized outbreak. &#x0201c;No&#x0201d; was the referent (Ref) category for international travel and outbreak associated.</p></fn><fn id="TFN9"><label>&#x02020;</label><p id="P68">The 20 most common serotypes were determined from culture-confirmed infections reported during 1996&#x02013;2020 and included <italic toggle="yes">S.</italic> Infantis and other <italic toggle="yes">Salmonella</italic> serotypes (in descending order): Enteritidis, Typhimurium, Newport, Javiana, I 4,[5],12:i:-, Heidelberg, Muenchen, Montevideo, Saintpaul, Braenderup, Oranienburg, Thompson, Mississippi, Bareilly, Agona, I 13,23:b:-, Paratyphi B var. L(+) Tartrate+, Hadar, and Poona.</p></fn><fn id="TFN10"><label>&#x02021;</label><p id="P69">Seven variables (age group, sex, race-ethnicity, specimen source, year group, region, and outbreak-associated) that were significant in the univariable analysis and international travel, which has been associated with <italic toggle="yes">Salmonella</italic> strains in previous studies, were considered in the multivariable model. The final model included the 8 variables.</p></fn><fn id="TFN11"><label>&#x000a7;</label><p id="P70">Odds ratios that do not include 1.00 in the 95% confidence intervals (CIs) were considered statistically significant.</p></fn><fn id="TFN12"><label>&#x000b6;</label><p id="P71">The 10 sites in FoodNet were grouped using the 4 U.S. Census regions.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3:</label><caption><p id="P72">Clinical characteristics of <italic toggle="yes">Salmonella</italic> ser. Infantis infections compared with infections caused by other common <italic toggle="yes">Salmonella</italic> serotypes&#x02014;Foodborne Diseases Active Surveillance Network (FoodNet)<xref rid="TFN13" ref-type="table-fn">*</xref>, United States, 2006&#x02013;2020</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristics (years included), total no. infections (n)<xref rid="TFN14" ref-type="table-fn">&#x02020;</xref></th><th align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">S.</italic> Infantis</th><th align="center" valign="top" rowspan="1" colspan="1">Other <italic toggle="yes">Salmonella</italic><xref rid="TFN15" ref-type="table-fn">&#x02021;</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Odds ratio (95% CI)</th></tr></thead><tbody><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Hospitalized</bold><xref rid="TFN13" ref-type="table-fn">*</xref>
<bold>(2006&#x02013;2020), n</bold><xref rid="TFN14" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>2,363</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>80,559</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">608 (26.8)</td><td align="center" valign="top" rowspan="1" colspan="1">22518 (29.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.90 (0.82, 0.98)<xref rid="TFN16" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Died (2006&#x02013;2020)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>2,363</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>80,559</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>Yes</bold></td><td align="center" valign="top" rowspan="1" colspan="1">6 (0.3)</td><td align="center" valign="top" rowspan="1" colspan="1">351 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.58 (0.26, 1.31)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>History of comorbidities (2018&#x02013;2020), n</bold>
<xref rid="TFN14" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>630</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>15,034</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Abdominal surgery</td><td align="center" valign="top" rowspan="1" colspan="1">12 (3.7)</td><td align="center" valign="top" rowspan="1" colspan="1">196 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1.63 (0.90, 2.95)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Cancer</td><td align="center" valign="top" rowspan="1" colspan="1">15 (3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">392 (4.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.92 (0.54, 1.56)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes</td><td align="center" valign="top" rowspan="1" colspan="1">45 (11.9)</td><td align="center" valign="top" rowspan="1" colspan="1">542 (5.9)</td><td align="center" valign="top" rowspan="1" colspan="1">2.14 (1.55, 2.96)<xref rid="TFN16" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Symptoms (2011&#x02013;2020), n</bold>
<xref rid="TFN14" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>1,854</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>53,552</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Fever</td><td align="center" valign="top" rowspan="1" colspan="1">784 (55.1)</td><td align="center" valign="top" rowspan="1" colspan="1">25,950 (67.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.59 (0.53, 0.66)<xref rid="TFN16" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diarrhea</td><td align="center" valign="top" rowspan="1" colspan="1">1,367 (89.0)</td><td align="center" valign="top" rowspan="1" colspan="1">38,754 (93.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.61 (0.52, 0.72)<xref rid="TFN16" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Bloody diarrhea</td><td align="center" valign="top" rowspan="1" colspan="1">388 (27.4)</td><td align="center" valign="top" rowspan="1" colspan="1">14,795 (38.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.61 (0.54, 0.69)<xref rid="TFN16" ref-type="table-fn">&#x000a7;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Antimicrobial use</bold><xref rid="TFN13" ref-type="table-fn">*</xref>
<bold>(2017&#x02013;2020), n</bold><xref rid="TFN14" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>803</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>20,274</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">302 (65.8)</td><td align="center" valign="top" rowspan="1" colspan="1">6,489 (62.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1.15 (0.94, 1.40)</td></tr></tbody></table><table-wrap-foot><fn id="TFN13"><label>*</label><p id="P73">The 10 sites in FoodNet include CA, CO, CT, GA, MD, MN, NM, NY, OR, and TN.</p></fn><fn id="TFN14"><label>&#x02020;</label><p id="P74">Values are no. (%) unless indicated and the total number of infections (n) are shown for years included; the total number with known data was used as denominator to calculate the percentage of infections for each category. Missing data were excluded (shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref>) in the univariable analysis. &#x0201c;No&#x0201d; was the referent category for all variables. Hospitalization was reported if the case-patient was hospitalized within 7 days of specimen collection. Antimicrobial use was defined as use within the 7 days before illness onset. History of selected comorbidities within the 6 months before illness onset was defined for the following: abdominal surgery (e.g., removal of appendix or gallbladder, any surgery of the stomach or large intestine); diagnosis or treatment for cancer (including leukemia/lymphoma); and diagnosis or treatment for diabetes. Odds ratios from the multivariable analysis with hospitalization as dependent variable are shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 3</xref>.</p></fn><fn id="TFN15"><label>&#x02021;</label><p id="P75">The 20 most common serotypes were determined from culture-confirmed infections reported during 1996&#x02013;2020 and included <italic toggle="yes">S.</italic> Infantis and other <italic toggle="yes">Salmonella</italic> serotypes (in descending order): Enteritidis, Typhimurium, Newport, Javiana, I 4,[5],12:i:-, Heidelberg, Muenchen, Montevideo, Saintpaul, Braenderup, Oranienburg, Thompson, Mississippi, Bareilly, Agona, I 13,23:b:-, Paratyphi B var. L(+) Tartrate+, Hadar, and Poona.</p></fn><fn id="TFN16"><label>&#x000a7;</label><p id="P76">Odds ratios that do not include 1.00 in the 95% confidence intervals (CIs) were considered statistically significant.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4"><label>Table 4:</label><caption><p id="P77">Demographic and other characteristics<xref rid="TFN17" ref-type="table-fn">*</xref> of REPJFX01 infections compared with infections caused by other common <italic toggle="yes">Salmonella</italic> serotypes&#x02014;Foodborne Diseases Active Surveillance Network (FoodNet), United States, 2016&#x02013;2020</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristics<xref rid="TFN17" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">REPJFX01<xref rid="TFN18" ref-type="table-fn">&#x02020;</xref><break/><break/>(n=248)<xref rid="TFN17" ref-type="table-fn">*</xref><break/>No. (%)<xref rid="TFN17" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Other<break/><italic toggle="yes">Salmonella</italic><xref rid="TFN19" ref-type="table-fn">&#x02021;</xref><break/>(n=25,602)<xref rid="TFN17" ref-type="table-fn">*</xref><break/>No. (%)<xref rid="TFN17" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Odds ratio (95% CI)<xref rid="TFN20" ref-type="table-fn">&#x000a7;</xref><xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></th><th align="center" valign="top" rowspan="1" colspan="1">Adjusted odds ratio (95% CI)<xref rid="TFN20" ref-type="table-fn">&#x000a7;</xref><xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></th></tr></thead><tbody><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age group (y)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;0&#x02013;4</td><td align="center" valign="top" rowspan="1" colspan="1">18 (7.3)</td><td align="center" valign="top" rowspan="1" colspan="1">5,456 (21.3)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;5&#x02013;17</td><td align="center" valign="top" rowspan="1" colspan="1">16 (6.5)</td><td align="center" valign="top" rowspan="1" colspan="1">3,358 (13.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.44 (0.74, 2.84)</td><td align="center" valign="top" rowspan="1" colspan="1">0.93 (0.44, 1.97)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;18&#x02013;44</td><td align="center" valign="top" rowspan="1" colspan="1">64 (25.8)</td><td align="center" valign="top" rowspan="1" colspan="1">6,730 (26.3)</td><td align="center" valign="top" rowspan="1" colspan="1">2.88 (1.71, 4.87)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.44 (0.79, 2.61)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;45&#x02013;64</td><td align="center" valign="top" rowspan="1" colspan="1">76 (30.7)</td><td align="center" valign="top" rowspan="1" colspan="1">5,837 (22.8)</td><td align="center" valign="top" rowspan="1" colspan="1">3.95 (2.36, 6.61)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.95 (1.08, 3.51)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265; 65</td><td align="center" valign="top" rowspan="1" colspan="1">74 (29.8)</td><td align="center" valign="top" rowspan="1" colspan="1">4,221 (16.5)</td><td align="center" valign="top" rowspan="1" colspan="1">5.31 (3.17, 8,91)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">2.34 (1.28, 4.27)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="top" rowspan="1" colspan="1">74 (30.0)</td><td align="center" valign="top" rowspan="1" colspan="1">12,044 (47.2)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="top" rowspan="1" colspan="1">173 (70.0)</td><td align="center" valign="top" rowspan="1" colspan="1">13,484 (52.8)</td><td align="center" valign="top" rowspan="1" colspan="1">2.09 (1.59, 2.75)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1.46 (1.06, 2.00)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Race and ethnicity</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White, non-Hispanic (NH)</td><td align="center" valign="top" rowspan="1" colspan="1">161 (71.2)</td><td align="center" valign="top" rowspan="1" colspan="1">15,497 (67.1)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black, NH</td><td align="center" valign="top" rowspan="1" colspan="1">37 (16.4)</td><td align="center" valign="top" rowspan="1" colspan="1">3,175 (13.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (0.78, 1.61)</td><td align="center" valign="top" rowspan="1" colspan="1">1.35 (0.87, 2.10)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Asian, Pacific Islander, NH</td><td align="center" valign="top" rowspan="1" colspan="1">3 (1.3)</td><td align="center" valign="top" rowspan="1" colspan="1">724 (3.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.40 (0.13, 1.25)</td><td align="center" valign="top" rowspan="1" colspan="1">0.53 (0.17, 1.70)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Native American, NH</td><td align="center" valign="top" rowspan="1" colspan="1">1 (0.4)</td><td align="center" valign="top" rowspan="1" colspan="1">183 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.53 (0.07, 3.78)</td><td align="center" valign="top" rowspan="1" colspan="1">0.55 (0.07, 4.08)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Multiple, other, unknown race, NH</td><td align="center" valign="top" rowspan="1" colspan="1">5 (2.2)</td><td align="center" valign="top" rowspan="1" colspan="1">706 (3.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.68 (0.28, 1.67)</td><td align="center" valign="top" rowspan="1" colspan="1">0.54 (0.17, 1.72)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic or Latino</td><td align="center" valign="top" rowspan="1" colspan="1">19 (8.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2,794 (12.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.66 (0.41, 1.06)</td><td align="center" valign="top" rowspan="1" colspan="1">0.71 (0.41, 1.22)</td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Specimen source</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stool</td><td align="center" valign="top" rowspan="1" colspan="1">160 (64.5)</td><td align="center" valign="top" rowspan="1" colspan="1">21,986 (86.0)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Blood</td><td align="center" valign="top" rowspan="1" colspan="1">8 (3.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1,485 (5.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.74 (0.36, 1.51)</td><td align="center" valign="top" rowspan="1" colspan="1">0.74 (0.34, 1.62)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urine</td><td align="center" valign="top" rowspan="1" colspan="1">65 (26.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1,464 (5.7)</td><td align="center" valign="top" rowspan="1" colspan="1">6.10 (4.55, 8.18)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">4.82 (3.35, 6.92)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other</td><td align="center" valign="top" rowspan="1" colspan="1">15 (6.0)</td><td align="center" valign="top" rowspan="1" colspan="1">632 (2.5)</td><td align="center" valign="top" rowspan="1" colspan="1">3.26 (1.91, 5.67)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">3.20 (1.67, 6.13)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Year</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2016</td><td align="center" valign="top" rowspan="1" colspan="1">5 (2.0)</td><td align="center" valign="top" rowspan="1" colspan="1">5,328 (20.8)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2017</td><td align="center" valign="top" rowspan="1" colspan="1">35 (14.1)</td><td align="center" valign="top" rowspan="1" colspan="1">5,240 (20.5)</td><td align="center" valign="top" rowspan="1" colspan="1">7.12 (2.79, 18.18)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">7.36 (2.58, 20.99)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2018</td><td align="center" valign="top" rowspan="1" colspan="1">63 (25.4)</td><td align="center" valign="top" rowspan="1" colspan="1">5,686 (22.2)</td><td align="center" valign="top" rowspan="1" colspan="1">11.81 (4.75, 29.37)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">12.58 (4.54, 34.87)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2019</td><td align="center" valign="top" rowspan="1" colspan="1">88 (35.5)</td><td align="center" valign="top" rowspan="1" colspan="1">5,143 (20.1)</td><td align="center" valign="top" rowspan="1" colspan="1">18.23 (7.40, 44.92)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">18.47 (6.72, 50.72)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2020</td><td align="center" valign="top" rowspan="1" colspan="1">57 (23.0)</td><td align="center" valign="top" rowspan="1" colspan="1">4,205 (16.4)</td><td align="center" valign="top" rowspan="1" colspan="1">14.44 (5.79, 36.06)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">12.80 (4.55, 36.00)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Region and state of residence</bold>
<xref rid="TFN22" ref-type="table-fn">**</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>Midwest</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>36 (14.5)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>3,013 (11.8)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">Ref (region)</td><td align="center" valign="top" rowspan="1" colspan="1">Ref (region)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">MN</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">36 (14.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3,013 (11.8)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>Northeast</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>103 (41.5)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>3,181 (12.4)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">2.71 (1.85, 3.97)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">2.76 (1.78, 4.27)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CT</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">56 (22.6)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,550 (6.1)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">NY</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">47 (19.0)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,631 (6.4)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>South</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>63 (25.4)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>14,091 (55.0)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.37 (0.25, 0.57)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">0.41 (0.25, 0.67)<xref rid="TFN21" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">GA</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">21 (8.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">8,080 (31.6)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">MD</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">16 (6.4)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">2,748 (10.7)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">TN</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">26 (10.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3,263 (12.7)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold>West</bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>46 (18.6)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>5,317 (20.8)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">0.72 (0.47, 1.12)</td><td align="center" valign="top" rowspan="1" colspan="1">0.77 (0.46, 1.30)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CA</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">7 (2.8)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,326 (5.2)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">CO</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">16 (6.4)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,198 (4.7)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">NM</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (2.0)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,159 (4.5)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;<italic toggle="yes">OR</italic></td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">18 (7.3)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1,634 (6.4)</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>International travel</bold>
<xref rid="TFN17" ref-type="table-fn">*</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="center" valign="top" rowspan="1" colspan="1">23 (10.8)</td><td align="center" valign="top" rowspan="1" colspan="1">2,222 (10.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1.03 (0.67, 1.60)</td><td align="center" valign="top" rowspan="1" colspan="1">1.09 (0.68, 1.74)</td></tr></tbody></table><table-wrap-foot><fn id="TFN17"><label>*</label><p id="P78">The total number of infections (n) are shown for years included; the total number with known data was used as denominator to calculate the percentage of infections for each category. Missing data were excluded (shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 6</xref>) in the univariable and multivariable analyses. Infections were categorized as missing race-ethnicity if ethnicity was missing regardless of race data. International travel was defined as travel outside the United States within the 7 days before illness onset. &#x0201c;No&#x0201d; was the referent (Ref) category for international travel.</p></fn><fn id="TFN18"><label>&#x02020;</label><p id="P79">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin.</p></fn><fn id="TFN19"><label>&#x02021;</label><p id="P80">The 20 most common serotypes were determined from culture-confirmed infections reported during 1996&#x02013;2020 and included <italic toggle="yes">S.</italic> Infantis and other <italic toggle="yes">Salmonella</italic> serotypes (in descending order): Enteritidis, Typhimurium, Newport, Javiana, I 4,[5],12:i:-, Heidelberg, Muenchen, Montevideo, Saintpaul, Braenderup, Oranienburg, Thompson, Mississippi, Bareilly, Agona, I 13,23:b:-, Paratyphi B var. L(+) Tartrate+, Hadar, and Poona.</p></fn><fn id="TFN20"><label>&#x000a7;</label><p id="P81">Five variables (age group, sex, specimen source, year, and region) that were significant in the univariable analysis, and race-ethnicity and international travel, which have been associated with <italic toggle="yes">Salmonella</italic> strains in previous studies, were considered in the multivariable model. The final model included the 7 variables.</p></fn><fn id="TFN21"><label>&#x000b6;</label><p id="P82">Odds ratios that do not include 1.00 in the 95% confidence intervals (CIs) were considered statistically significant.</p></fn><fn id="TFN22"><label>**</label><p id="P83">The 10 sites in FoodNet were grouped using the 4 U.S. Census regions.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T5"><label>Table 5:</label><caption><p id="P84">Clinical characteristics of REPJFX01 infections compared with infections caused by other common <italic toggle="yes">Salmonella</italic> serotypes&#x02014;Foodborne Diseases Active Surveillance Network (FoodNet)<xref rid="TFN23" ref-type="table-fn">*</xref>, United States, 2016&#x02013;2020</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><td align="left" valign="top" rowspan="1" colspan="1">Characteristics (years included), total no. infections (n)<xref rid="TFN24" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">REPJFX01<xref rid="TFN25" ref-type="table-fn">&#x02021;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">Other <italic toggle="yes">Salmonella</italic><xref rid="TFN26" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">Odds ratio (95% CI)<xref rid="TFN27" ref-type="table-fn">&#x000b6;</xref></td></tr></thead><tbody><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Hospitalized (2016&#x02013;2020), n</bold>
<xref rid="TFN24" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>248</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>25,602</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">74 (30.6)</td><td align="center" valign="top" rowspan="1" colspan="1">7,440 (30.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.02 (0.78, 1.35)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Died (2016&#x02013;2020), n</bold>
<xref rid="TFN24" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>248</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>25,602</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">2 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">135 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1.54 (0.38, 6.24)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Comorbidities (2018&#x02013;2020), n</bold>
<xref rid="TFN24" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>208</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>15,034</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Abdominal surgery</td><td align="center" valign="top" rowspan="1" colspan="1">3 (3.8)</td><td align="center" valign="top" rowspan="1" colspan="1">196 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1.63 (0.51, 5.22)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Cancer</td><td align="center" valign="top" rowspan="1" colspan="1">6 (5.1)</td><td align="center" valign="top" rowspan="1" colspan="1">392 (4.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1.21 (0.53, 2.77)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes</td><td align="center" valign="top" rowspan="1" colspan="1">26 (21.8)</td><td align="center" valign="top" rowspan="1" colspan="1">542 (5.9)</td><td align="center" valign="top" rowspan="1" colspan="1">4.44 (2.85, 6.91)<xref rid="TFN27" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Symptoms (2016&#x02013;2020), n</bold>
<xref rid="TFN24" ref-type="table-fn">&#x02020;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>248</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>25,602</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Fever</td><td align="center" valign="top" rowspan="1" colspan="1">101 (47.6)</td><td align="center" valign="top" rowspan="1" colspan="1">14,038 (66.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.47 (0.36, 0.62)<xref rid="TFN27" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diarrhea</td><td align="center" valign="top" rowspan="1" colspan="1">175 (81.0)</td><td align="center" valign="top" rowspan="1" colspan="1">20,719 (93.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.28 (0.20, 0.40)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Bloody diarrhea</td><td align="center" valign="top" rowspan="1" colspan="1">36 (18.1)</td><td align="center" valign="top" rowspan="1" colspan="1">7,701 (36.6)</td><td align="center" valign="top" rowspan="1" colspan="1">0.38 (0.27, 0.55)<xref rid="TFN27" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Antimicrobial use</bold><xref rid="TFN23" ref-type="table-fn">*</xref>
<bold>(2017&#x02013;2020), n</bold><xref rid="TFN24" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>243</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>20,274</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">108 (73.5)</td><td align="center" valign="top" rowspan="1" colspan="1">6,489 (62.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1.65 (1.14, 2.39)<xref rid="TFN27" ref-type="table-fn">&#x000b6;</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><bold>Outbreak associated</bold><xref rid="TFN23" ref-type="table-fn">*</xref>
<bold>(2016&#x02013;2020), n</bold><xref rid="TFN24" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>248</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>25,602</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">28 (11.3)</td><td align="center" valign="top" rowspan="1" colspan="1">2,316 (9.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (0.86, 1.90)</td></tr></tbody></table><table-wrap-foot><fn id="TFN23"><label>*</label><p id="P85">The 10 sites in FoodNet include CA, CO, CT, GA, MD, MN, NM, NY, OR, and TN.</p></fn><fn id="TFN24"><label>&#x02020;</label><p id="P86">Values are no. (%) unless indicated and the total number of infections (n) are shown for years included; the total number with known data was used as denominator to calculate the percentage of infections for each category. Missing data were excluded (shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 6</xref>) in the univariable analysis. &#x0201c;No&#x0201d; was the referent category for all variables. Hospitalization was reported if the case-patient was hospitalized within 7 days of specimen collection. History of selected comorbidities within the 6 months before illness onset was defined for the following: abdominal surgery (e.g., removal of appendix or gallbladder, any surgery of the stomach or large intestine); diagnosis or treatment for cancer (including leukemia/lymphoma); and diagnosis or treatment for diabetes. The infection was categorized as outbreak associated if the case-patient was part of a recognized outbreak. Antimicrobial use, defined as use within the 7 days before illness onset, was excluded from the multivariable analysis; it was not routinely collected until 2017 and missing data accounted for 39.5% of REPJFX01 and 48.9% of other <italic toggle="yes">Salmonella</italic> infections.</p></fn><fn id="TFN25"><label>&#x02021;</label><p id="P87">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin.</p></fn><fn id="TFN26"><label>&#x000a7;</label><p id="P88">The 20 most common serotypes were determined from culture-confirmed infections reported during 1996&#x02013;2020 and included <italic toggle="yes">S.</italic> Infantis and other <italic toggle="yes">Salmonella</italic> serotypes (in descending order): Enteritidis, Typhimurium, Newport, Javiana, I 4,[5],12:i:-, Heidelberg, Muenchen, Montevideo, Saintpaul, Braenderup, Oranienburg, Thompson, Mississippi, Bareilly, Agona, I 13,23:b:-, Paratyphi B var. L(+) Tartrate+, Hadar, and Poona.</p></fn><fn id="TFN27"><label>&#x000b6;</label><p id="P89">Odds ratios that do not include 1.00 in the 95% confidence intervals (CIs) were considered statistically significant.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T6"><label>Table 6:</label><caption><p id="P90">Antimicrobial resistance among REPJFX01 and non&#x02013;REPJFX01 isolates&#x02014;National Antimicrobial Resistance Monitoring System and PulseNet, United States, 2012&#x02013;2022</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Predicted antimicrobial resistance<xref rid="TFN28" ref-type="table-fn">*</xref></th><th align="center" valign="top" rowspan="1" colspan="1">REPJFX01<xref rid="TFN29" ref-type="table-fn">&#x02020;</xref> (n=2,778)</th><th align="center" valign="top" rowspan="1" colspan="1">Non-REPJFX01 (n=3,764)</th><th align="center" valign="top" rowspan="1" colspan="1">All Infantis n=6,542</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th></tr></thead><tbody><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Resistance by antimicrobial class</bold>
<xref rid="TFN28" ref-type="table-fn">*</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Quinolones</italic></bold><xref rid="TFN28" ref-type="table-fn">*</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,775 (99.9)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">92 (2.4)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>2,867 (43.8)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Ciprofloxacin</td><td align="center" valign="top" rowspan="1" colspan="1">2,775 (99.9)</td><td align="center" valign="top" rowspan="1" colspan="1">92 (2.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2,867 (43.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Nalidixic acid</td><td align="center" valign="top" rowspan="1" colspan="1">2,775 (99.9)</td><td align="center" valign="top" rowspan="1" colspan="1">60 (1.6)</td><td align="center" valign="top" rowspan="1" colspan="1">2,835 (43.3)</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Aminoglycosides</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,690 (96.8)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">197 (5.2)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,887 (44.1)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Streptomycin</td><td align="center" valign="top" rowspan="1" colspan="1">2,466 (88.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1 57 (4.2)</td><td align="center" valign="top" rowspan="1" colspan="1">2,623 (40.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Gentamicin</td><td align="center" valign="top" rowspan="1" colspan="1">1,875 (67.5)</td><td align="center" valign="top" rowspan="1" colspan="1">101 (2.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1,976 (30.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Hygromycin</td><td align="center" valign="top" rowspan="1" colspan="1">1,872 (67.4)</td><td align="center" valign="top" rowspan="1" colspan="1">26 (0.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1,898 (29.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Tobramycin</td><td align="center" valign="top" rowspan="1" colspan="1">1,799 (64.8)</td><td align="center" valign="top" rowspan="1" colspan="1">25 (0.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1,824 (27.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Kanamycin</td><td align="center" valign="top" rowspan="1" colspan="1">1,122 (40.4)</td><td align="center" valign="top" rowspan="1" colspan="1">66 (1.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1,188 (18.2)</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Folate pathway inhibitors</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,621 (94.3)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">196 (5.2)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>2,817 (43.1)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Sulfonamide</td><td align="center" valign="top" rowspan="1" colspan="1">2,473 (89.0))</td><td align="center" valign="top" rowspan="1" colspan="1">150 (4.0)</td><td align="center" valign="top" rowspan="1" colspan="1">2,623 (40.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Trimethoprim</td><td align="center" valign="top" rowspan="1" colspan="1">1,293 (46.5)</td><td align="center" valign="top" rowspan="1" colspan="1">86 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1,379 (21.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Co-trimoxazole</td><td align="center" valign="top" rowspan="1" colspan="1">1,145 (41.2)</td><td align="center" valign="top" rowspan="1" colspan="1">40 (1.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1,185 (18.1)</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Tetracyclines</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,507 (90.2)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">209 (5.6)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">2,716 (41.5)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Tetracycline</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Penicillins</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">1,691 (60.9)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">200 (5.3)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">1,891 (28.9)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Ampicillin</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Cephalosporins</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">1,685 (60.7)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">110 (2.9)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>1,795 (27.4)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Ceftriaxone</td><td align="center" valign="top" rowspan="1" colspan="1">1,685 (60.7)</td><td align="center" valign="top" rowspan="1" colspan="1">108 (2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1,793 (27.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Ceftiofur</td><td align="center" valign="top" rowspan="1" colspan="1">1,684 (60.6)</td><td align="center" valign="top" rowspan="1" colspan="1">108 (2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1,792 (27.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Cefoxitin</td><td align="center" valign="top" rowspan="1" colspan="1">6 (0.2)</td><td align="center" valign="top" rowspan="1" colspan="1">80 (2.1)</td><td align="center" valign="top" rowspan="1" colspan="1">86 (1.3)</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Phenicols</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">1,581 (56.9)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">99 (2.6)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">1,680 (25.7)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Chloramphenicol</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Fosfomycin</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">709 (25.5)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">15 (0.4)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">724 (11.1)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Fosfomycin</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Macrolides</italic></bold><xref rid="TFN29" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">10 (0.4)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">9 (0.2)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">19 (0.3)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Azithromycin</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">&#x003b2;-Lactamase/inhibitors</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">6 (0.2)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">80 (2.1)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">86 (1.3)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Ampicillin/clavulanic acid</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<bold><italic toggle="yes">Carbapenem</italic></bold></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">0 (0)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">0 (0)</italic>
</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>
<italic toggle="yes">0 (0)</italic>
</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Meropenem</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Resistance by number of classes</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No resistance detected</td><td align="center" valign="top" rowspan="1" colspan="1">3 (0.1)</td><td align="center" valign="top" rowspan="1" colspan="1">3,342 (88.8)</td><td align="center" valign="top" rowspan="1" colspan="1">3,345 (51.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resistance to &#x0003e;=1 classes</td><td align="center" valign="top" rowspan="1" colspan="1">2,775 (99.9)</td><td align="center" valign="top" rowspan="1" colspan="1">422 (11.2)</td><td align="center" valign="top" rowspan="1" colspan="1">3,197(48.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resistance to &#x0003e;=3 classes</td><td align="center" valign="top" rowspan="1" colspan="1">2,699 (97.2)</td><td align="center" valign="top" rowspan="1" colspan="1">226 (6.0)</td><td align="center" valign="top" rowspan="1" colspan="1">2,925 (44.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resistance to &#x0003e;=5 classes</td><td align="center" valign="top" rowspan="1" colspan="1">1,968 (70.8)</td><td align="center" valign="top" rowspan="1" colspan="1">56 (1.5)</td><td align="center" valign="top" rowspan="1" colspan="1">2,024 (30.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resistance to &#x0003e;=7 classes</td><td align="center" valign="top" rowspan="1" colspan="1">1,377 (49.6)</td><td align="center" valign="top" rowspan="1" colspan="1">28 (0.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1,405 (21.5)</td></tr></tbody></table><table-wrap-foot><fn id="TFN28"><label>*</label><p id="P91">Antimicrobial resistance was assessed by predicting resistance from WGS data based on the presence of resistance genes and mutations; for ciprofloxacin, the presence of resistance mechanisms conferring decreased susceptibility is reported as representing predicted quinolone resistance. Antimicrobial classes were defined using categories from the Clinical and Laboratory Standards Institute (CLSI).</p></fn><fn id="TFN29"><label>&#x02020;</label><p id="P92">REPJFX01 was defined as <italic toggle="yes">S.</italic> Infantis isolates related by core genome multilocus sequence typing within a range of 0&#x02013;82 alleles, typically characterized by the presence of pESI megaplasmid harboring multiple resistance genes and <italic toggle="yes">gyrA87</italic> mutation conferring decreased susceptibility to ciprofloxacin.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T7"><label>Table 7:</label><caption><p id="P93">Characteristics of outbreaks caused by <italic toggle="yes">Salmonella</italic> ser. Infantis&#x02014;National Outbreak Reporting System<xref rid="TFN30" ref-type="table-fn">*</xref>, United States, 1998&#x02013;2021</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristics</th><th align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">S.</italic> Infantis (n=104)<xref rid="TFN30" ref-type="table-fn">*</xref></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">No. (%)</th></tr></thead><tbody><tr><td colspan="2" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Multistate</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">19 (18.3)</td></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Primary mode of transmission</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes"><bold>Foodborne (n=69, 66.3%)</bold></italic><xref rid="TFN31" ref-type="table-fn">&#x02020;</xref><xref rid="TFN32" ref-type="table-fn">&#x02021;</xref></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Single food category<xref rid="TFN31" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">20 (29.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;No single food category<xref rid="TFN32" ref-type="table-fn">&#x02021;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">14 (20.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;No specific foods reported<xref rid="TFN32" ref-type="table-fn">&#x02021;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">35 (50.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes"><bold>Animal contact (n=14, 13.5%)</bold></italic><xref rid="TFN33" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Single animal category<xref rid="TFN33" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">14 (100.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes"><bold>Other (n=9, 8.7%)</bold></italic><xref rid="TFN34" ref-type="table-fn">&#x000b6;</xref></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Person-to-person</td><td align="center" valign="top" rowspan="1" colspan="1">8 (88.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Environmental (contamination other than food or water)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (11.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Unknown (n=12, 11.5%)</italic><xref rid="TFN30" ref-type="table-fn">*</xref></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Food source, single food category<xref rid="TFN31" ref-type="table-fn">&#x02020;</xref> (n=20)</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes"><bold>Land animals (n=15, 75%)</bold></italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Pork</td><td align="center" valign="top" rowspan="1" colspan="1">7 (35.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Chicken<xref rid="TFN31" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">4 (20.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Beef and other meat<xref rid="TFN31" ref-type="table-fn">&#x02020;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">4 (20.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">
<bold>Plants</bold>
</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3 (15.0)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">
<bold>Aquatic animals (fish)</bold>
</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">2 (10.0)</italic>
</td></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Animal contact, single animal category (n=14)</bold>
<xref rid="TFN33" ref-type="table-fn">&#x000a7;</xref>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Live poultry (chicken or baby chicks, ducks or ducklings)</td><td align="center" valign="top" rowspan="1" colspan="1">13 (92.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Dog<xref rid="TFN33" ref-type="table-fn">&#x000a7;</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1 (7.1)</td></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Clinical outcomes</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Total no. illnesses (median, range)</td><td align="center" valign="top" rowspan="1" colspan="1">2,953 (9, 2&#x02013;287)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Total no. hospitalizations (median, range)</td><td align="center" valign="top" rowspan="1" colspan="1">460 (2, 0&#x02013;58)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No. (%) outbreaks with &#x02265;1 hospitalized cases (n=100 with reported outcome)</td><td align="center" valign="top" rowspan="1" colspan="1">68 (68.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Total no. deaths (median, range)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (0, 0&#x02013;2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No. (%) outbreaks with &#x02265;1 death (n=100 with reported outcome)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (4.0)</td></tr></tbody></table><table-wrap-foot><fn id="TFN30"><label>*</label><p id="P94">CDC has received reports of foodborne disease outbreaks to the Foodborne Disease Outbreak Surveillance System (FDOSS) electronically since 1998. The reporting platform NORS launched in 2009 to integrate outbreak reporting and includes data on all foodborne and waterborne outbreaks and enteric disease outbreaks transmitted by contact with environmental sources, infected persons or animals, or unknown modes. Information on outbreaks of human enteric illness linked to contact with animals or their environments has been collected through the Animal Contact Outbreak Surveillance System (ACOSS) (<ext-link xlink:href="https://www.cdc.gov/nors/about/acoss.html" ext-link-type="uri">https://www.cdc.gov/nors/about/acoss.html</ext-link>) since 2009. Of 122 Infantis outbreaks reported to CDC, 18 that were linked to multiple serotypes were excluded. Data for the remaining 104 infantis-only outbreaks are shown. Values are no. (%) unless indicated.</p></fn><fn id="TFN31"><label>&#x02020;</label><p id="P95">Major food groups or subcategories (for land and aquatic animals) from the Interagency Food Safety Analytics Collaboration (IFSAC) were used to categorize food sources (<ext-link xlink:href="https://www.cdc.gov/ifsac/php/projects/index.html" ext-link-type="uri">https://www.cdc.gov/ifsac/php/projects/index.html</ext-link>). The first single food category foodborne outbreak linked to poultry was detected in 2014. The 4 single food category outbreaks linked to beef and other meat include 3 with beef and 1 with lamb as the implicated food. A large outbreak that included REPJFX01 infections in 2018&#x02013;2019 was linked to raw chicken products, causing 129 illnesses, 25 hospitalizations, and 1 death.</p></fn><fn id="TFN32"><label>&#x02021;</label><p id="P96">Three foodborne outbreaks that were not linked to a single food category or had no specific food reported included REPJFX01 infections, of which the first was detected in 2016.</p></fn><fn id="TFN33"><label>&#x000a7;</label><p id="P97">Outbreaks reported through NORS involving pet food, treats/chews, other, or unknown were classified based on the animal that is the intended recipient. The first animal contact outbreak was linked to dry dog food and included cases detected in 2011 and 2012. The first two poultry-associated outbreaks linked to animal contact were detected in 2012.</p></fn><fn id="TFN34"><label>&#x000b6;</label><p id="P98">Of 8 outbreaks linked to person-to-person transmission, the settings included child day care (4 outbreaks), private home/residence (1), and unknown (2).</p></fn></table-wrap-foot></table-wrap></floats-group></article>