<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<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">9422759</journal-id><journal-id journal-id-type="pubmed-jr-id">2553</journal-id><journal-id journal-id-type="nlm-ta">Occup Environ Med</journal-id><journal-id journal-id-type="iso-abbrev">Occup Environ Med</journal-id><journal-title-group><journal-title>Occupational and environmental medicine</journal-title></journal-title-group><issn pub-type="ppub">1351-0711</issn><issn pub-type="epub">1470-7926</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38360725</article-id><article-id pub-id-type="pmc">11167715</article-id><article-id pub-id-type="doi">10.1136/oemed-2023-109108</article-id><article-id pub-id-type="manuscript">HHSPA1998081</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Legionnaires&#x02019; disease in transportation, construction and other occupations in 39 US jurisdictions, 2014&#x02013; 2016</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-9079-8612</contrib-id><name><surname>Morano</surname><given-names>Laurel Harduar</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-1655-6006</contrib-id><name><surname>Morawski</surname><given-names>Bozena M</given-names></name><xref rid="A3" ref-type="aff">3</xref><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Herzig</surname><given-names>Carolyn T A</given-names></name><xref rid="A5" ref-type="aff">5</xref><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><name><surname>Edens</surname><given-names>Chris</given-names></name><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><name><surname>Barskey</surname><given-names>Albert E</given-names></name><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><name><surname>Luckhaupt</surname><given-names>Sara E</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Occupational and Environmental Medicine, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA</aff><aff id="A2"><label>2</label>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA</aff><aff id="A3"><label>3</label>Idaho Hospital Association, Boise, Idaho, USA</aff><aff id="A4"><label>4</label>CDC assignee to the Idaho Department of Health and Welfare, Boise, Idaho, USA</aff><aff id="A5"><label>5</label>National Center for Emerging and Zoonotic Infectious Diseases, CDC, Atlanta, Georgia, USA</aff><aff id="A6"><label>6</label>CDC assignee to the Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA</aff><aff id="A7"><label>7</label>Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1">Contributors LHM, CTAH and BMM conceived of and designed the project. BMM, CE and SEL critically reviewed and approved the project design. BMM and CE acquired the data. LHM analysed the data and wrote the draft paper. All authors contributed to the interpretation of the data, provided critical review of the paper contents, agreed to the final version. LHM is responsible for the overall content and is accountable for the work.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>29</day><month>5</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>08</day><month>3</month><year>2024</year></pub-date><pub-date pub-type="collection"><day>08</day><month>3</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>12</day><month>6</month><year>2024</year></pub-date><volume>81</volume><issue>3</issue><fpage>163</fpage><lpage>166</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P2">Certain workers are at increased risk for acquiring Legionnaires&#x02019; disease compared with other workers. This study aims to identify occupations at increased risk for acquiring Legionnaires&#x02019; disease.</p></sec><sec id="S2"><title>Methods:</title><p id="P3">Using data from the US Centers for Disease Control and Prevention&#x02019;s Supplemental Legionnaires&#x02019; Disease Surveillance System, this study identified Legionnaires&#x02019; disease confirmed patients &#x02265;16 years of age in 39 states with reported symptom onset during 2014&#x02013;2016. Age-adjusted and sex-adjusted incidence rate ratios (IRR) stratified by occupation group were calculated by comparing Legionnaires&#x02019; disease patients in an occupation group (e.g., transportation) to those in all other occupation groups (e.g., non-transportation).</p></sec><sec id="S3"><title>Results:</title><p id="P4">A total of 2553 patients had a known occupation group. The two occupations with the highest burden were transportation (N=287; IRR=2.11) and construction (N=269; IRR=1.82). Truck drivers comprised the majority (69.7%) of the transportation occupation group and construction labourers comprised almost half (49%) of the construction occupation group. The healthcare support occupation had the highest IRR (N=75; IRR=2.16).</p></sec><sec id="S4"><title>Conclusion:</title><p id="P5">Transportation and construction workers, who are generally not covered by guidance related to building water systems, have increased risk of Legionnaires&#x02019; disease compared with other workers. One hypothesised risk factor for truck drivers is the use of non-genuine windshield cleaner in their vehicles. A simple intervention is to use genuine windshield cleaner with bactericidal properties (i.e., includes isopropanol/ methanol) which can reduce the risk of Legionella growth and transmission. To improve surveillance of Legionnaires&#x02019; disease and identification of similar exposures, the authors encourage the collection of occupation and industry information for all patients with Legionnaires&#x02019; disease.</p></sec></abstract></article-meta></front><body><sec id="S5"><title>INTRODUCTION</title><p id="P6">International research has found that among workers professional drivers are at increased risk for acquiring Legionnaires&#x02019; disease (LD).<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup> Previously investigated exposures for this population include travel-related exposures associated with the work environment (e.g., truck stop showers), vehicle cabin air filters or air conditioners and windshield wiper fluid.<sup><xref rid="R1" ref-type="bibr">1</xref>, <xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref></sup> Epidemiologists conducting LD surveillance in several states have observed that truck driver was a frequently reported occupation among individuals with LD. Other occupations with exposure to water may also be a risk. To explore this, we used nationwide surveillance data to determine the risk of LD among transportation and other occupations.</p></sec><sec id="S6"><title>METHODS</title><p id="P7">Confirmed LD cases in the USA are reported to Centers for Disease Control and Prevention&#x02019;s (CDC&#x02019;s) National Notifiable Diseases Surveillance System (NNDSS). A confirmed LD case occurred in a person with a clinically compatible illness with at least one of the confirmatory laboratory criteria as defined by the 2005 Council of State and Territorial Epidemiologists legionellosis position statement.<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Briefly, laboratory criteria include isolation of any Legionella organism from respiratory culture, detection of Legionella antigen in urine or seroconversion (more than fourfold rise in antibody titre between acute and convalescent sera) to Legionella pneumophila serogroup<sup><xref rid="R1" ref-type="bibr">1</xref></sup>. Some states submit supplemental LD patient information (e.g., exposure history, occupation, hospitalization, outcome, known outbreak (yes/no/unknown)) to CDC&#x02019;s Supplemental Legionnaires&#x02019; Disease Surveillance System (SLDSS).<sup><xref rid="R7" ref-type="bibr">7</xref></sup> SLDSS captures the following exposure history information for the 10 days prior to symptom onset: if the patient (1) spent one or more days away from home; (2) visited, worked in or stayed in a healthcare setting; (3) visited, worked in or stayed in an assisted/senior living facility; (4) used respiratory therapy equipment or (5) got in or spent time near a whirlpool spa. Using SLDSS data from 39 jurisdictions that reported &#x02265;90% of confirmed NNDSS LD cases to SLDSS for &#x02265;1 year, we identified cases among patients &#x02265;16 years of age with reported symptom onset during 2014&#x02013;2016 (The following 25 jurisdictions contributed data for all 3 years: AL, CO, CT, FL, GA, IA, KS, KY, ME, MI, MN, MO, MS, NH, NY, NYC, OH, PA, RI, SC, VA, VT, WA, WI, WV, WY. The following 5 jurisdictions contributed 2 years of data: AK, HI, ND, TX, UT. The following jurisdictions contributed 1 year of data: AR, AZ, DE, IL, MD, MT, NJ, NM.). We coded reported occupation into groups based on the 2010 US Census occupation codes. Coding was completed using a combination of manual coding and the National Institute for Occupational Safety and Health (NIOSH) Industry and Occupation Computerized Coding System: <ext-link xlink:href="https://www.cdc/" ext-link-type="uri">https://www.cdc</ext-link>. gov/niosh/topics/coding. Population denominators for each stratification level were obtained from US Census Bureau American Community Survey 1-year estimates, Public Use Microdata Sample. We calculated age-adjusted and sex-adjusted incidence rate ratios and 95% confidence intervals (CIs) comparing patients with LD in a given occupation group (e.g., transportation) to those in all other occupation groups (e.g., non-transportation). This analysis was completed as part of routine public health surveillance activities using secondary data, as such it was not possible to involve patients or the public in the design of this study.</p></sec><sec id="S7"><title>RESULTS</title><p id="P8">Of 11 122 LD cases meeting study criteria, 2552 (23.0%) received an occupation code, 84 (0.8%) were coded as unpaid occupations (i.e., homemakers, students, volunteers), 655 (5.9%) were non-work (e.g., disabled, inmate, not working), 2823 (25.4%) were coded as retired and occupation was reported unknown for 5008 (45.0%). The majority of patients with LD who received an occupation code were male (1849/2553=72.4%) with less than 1% (18/2553) missing information on sex. For the same group by age, a plurality of patients with LD were 50&#x02013;59 years (923/2553=36.2%), followed by those 60&#x02013;69 years (612/2553=24.0%) and 40&#x02013;49 years (492/2553=19.3%). Age was available for all patients.</p><p id="P9"><xref rid="T1" ref-type="table">Table 1</xref> lists the frequency of LD cases by occupation group; 287 (11.2%) were in the transportation occupation group with a crude LD incidence rate of 1.72 per 100 000 workers versus the overall crude LD rate among those with an occupation code of 0.56 per 100 000 workers. Professional drivers comprised the majority (258, 89.9%) of transportation occupations (driver/sales workers and truck drivers=200; bus drivers=33; taxi drivers and chauffeurs=25). There were 29 LD cases in other transportation occupations (these included jobs related to planes (e.g., flight attendants, pilots), boats (e.g., sailors), trains (e.g., locomotive engineers, yardmasters), street cars, parking lot and watercraft attendants, and transportation inspectors). The adjusted LD incidence rate for transportation occupations was 2.1 times the rate of non-transportation occupations (95% CI 1.8 to 2.4) (<xref rid="T1" ref-type="table">table 1</xref>). Among the 8537 LD cases with data available on outbreak status as reported by the state to CDC&#x02019;s SLDSS, 3.4% (8/235) of cases among patients reporting transportation occupations were outbreak-associated vs 6.4% (120/1883) of cases among patients reporting non-transportation occupations and 8.0% (514/6419) of cases among patients reporting unpaid/not- working/retired/unknown occupations (&#x003c7;<sup>2</sup>=11.5, df=2, p=0.003). Among the 4767 cases with a reported possible exposure source, a larger proportion of patients reporting transportation occupations (83/114=72.8%) travelled during the exposure period versus non-transportation occupations (450/936=48.1%) or unpaid/not working/retired/ unknown occupations (1052/3717=28.3%) (&#x003c7;<sup>2</sup>=214.1, df=2, p&#x0003c;0.0001).</p><p id="P10">Although the impetus for this analysis was LD among transportation workers, other occupations were also identified as having statistically significantly higher rates of LD (<xref rid="T1" ref-type="table">table 1</xref>). Among occupations that may not be protected by guidance for complex building water systems, construction occupations had the second highest frequency of LD (269 patients (10.5%)) after transportation occupations and had 1.8 times the rate of LD compared with non-construction occupations (95% CI 1.6 to 2.1). Construction labourers comprised 49% (133/269) of the construction occupation, followed by pipelayers, plumbers, pipefitters and steamfitters (7.4%; 20/269). However, the free-text information used to code the US Census occupation for construction labourers was vague with 80.5% (107/133) of text listing only construction (n=71), construction worker (n=21) or handyman (n=15). Building and grounds cleaning and maintenance had the third highest frequency with 163 patients (6.4%) and 1.5 times the rate of LD compared with non-building and grounds cleaning and maintenance occupations (95% CI 1.2 to 1.7). The two other occupations with statistically significant rates of LD were healthcare support (75 patients (2.9%)), which had the highest incidence rate ratio of 2.2 (95% CI 1.7 to 2.8) compared with non-healthcare support occupations, and food preparation and serving occupations (115 patients (4.5%)) with an incidence rate ratio of 1.5 (95% CI 1.2 to 1.8) compared with non-food preparation and serving occupations. These latter two occupation groups, healthcare support and food preparation and serving, are likely to be protected by guidance for building water systems.<sup><xref rid="R8" ref-type="bibr">8</xref></sup></p></sec><sec id="S8"><title>DISCUSSION</title><p id="P11">Our results indicate that LD occurs at a higher rate among US workers in transportation and construction occupations who might not be covered by guidance for building water systems. This is the first analysis of LD cases stratified by occupation and highlights potential groups to target for prevention. Current LD prevention guidance for building water systems<sup><xref rid="R7" ref-type="bibr">7</xref></sup> might not adequately protect workers who typically work outside these building types, such as professional drivers or construction workers. We recommend additional studies to confirm our results and identify potential sources of exposure.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> For instance, two prior case studies found a molecular link between clinical and environmental isolates from car air conditioners<sup><xref rid="R1" ref-type="bibr">1</xref></sup> while another two found laboratory evidence consistent with windshield wiper fluid as the exposure source.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> Additionally, a 2008/2009 case&#x02013;control study in England and Wales found that patients with LD had 47 times the odds of using non-screen-wash (e.g., water without the addition of genuine windshield cleaner) in the windshield wiper fluid (95% CI 3.70 to 603.63) compared with controls.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> There is very little information in the literature on exposure sources for construction workers, although construction sites and activities are known risk factors for the growth and spread of Legionella.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> For two construction workers, a molecular link between clinical and environmental isolates was identified in 1997 from a construction site sink<sup><xref rid="R1" ref-type="bibr">1</xref></sup> and in 2002 from a condensing tower during a hospital roof renovation.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> Other reported exposure sources among non-outbreak-associated cases include excavation sites/activities, potting/natural soil, shower heads or dental office waterlines.<sup><xref rid="R1" ref-type="bibr">1</xref>, <xref rid="R11" ref-type="bibr">11</xref></sup> Our study is limited by the age of the data and the large proportion of records with unknown occupations, the proportion of which varies by reporting state (<xref rid="SD1" ref-type="supplementary-material">online supplemental table 1</xref>). The 68% of patients with unknown occupation were of traditional working age (16&#x02013;65 years). Further, it is likely that the observed relationships may be confounded by other factors that were not available in the SLDSS dataset, such as underlying medical conditions. For instance, it is known that occupation group composition differs by race and ethnicity; however, among the LD cases with an occupation code in our data, race and ethnicity data were missing for 17% and 78%, respectively. However, even if the relationship is confounded, it does not negate the possibility of exposure through the work environment.</p><p id="P12">Outreach is underway to raise awareness among professional drivers to only use genuine windshield cleaner in their vehicles to reduce the risk of Legionella growth and transmission.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Concurrently, we encourage state and local health departments to help strengthen the evidence supporting an association between windshield wiper fluid and LD by doing the following, as suggestive evidence indicates this is a potential infection source.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> We urge public health professionals to (1) collect respiratory specimens from patients who are professional drivers and environmental samples from the patient&#x02019;s vehicle&#x02019;s windshield fluid tank, (2) assess source attribution by performing genetic comparisons on the collected isolates and (3) determine if water was used to fill the tank instead of genuine windshield cleaner that contains isopropanol/methanol, as the latter may possess bactericidal properties. Even if specimens are not collected, health departments can contribute to this effort by expanding and improving the routine collection of industry and occupation data for patients with LD. More specific information will help to confirm these results, identify subgroups of workers with increased LD risk and potentially identify additional exposure sources based on job duties within industries.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Table S1</label><media xlink:href="NIHMS1998081-supplement-Table_S1.docx" id="d67e285" position="anchor"/></supplementary-material></sec></body><back><ack id="S9"><title>Funding:</title><p id="P13">The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.</p></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P16">Competing interests: The primary author reports 2023 travel support in the form of a registration fee scholarship from the Council of State and Territorial Epidemiologists (CSTE) to attend their annual conference.</p></fn><fn id="FN3"><p id="P17">Disclaimer The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></fn><fn id="FN4"><p id="P18">Patient consent for publication: Not applicable.</p></fn><fn id="FN5"><p id="P19">Ethics approval: This study involves human participants but this activity was reviewed by CDC, deemed not research and was conducted consistent with applicable federal law and CDC policy (e.g., 45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. &#x000a7;241(d); 5 U.S.C. &#x000a7;552a; 44 U.S.C. &#x000a7;3501 et seq.). The study uses a secondary dataset that was created as part of routine public health surveillance. It does not contain identifiers which would allow the authors to contact individuals to obtain consent.</p></fn><fn id="FN6"><p id="P20">Provenance and peer review: Not commissioned; externally peer reviewed.</p></fn></fn-group><sec sec-type="data-availability" id="S10"><title>Data availability statement</title><p id="P14">Data are available on reasonable request.</p><p id="P15">A deidentified dataset can be made available on request. However, due to confidentiality, a data use agreement may be required depending on requested data elements. Data requests can be made to <email>travellegionella@cdc.gov</email>.</p></sec><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Orkis</surname><given-names>LT</given-names></name>, <name><surname>Harrison</surname><given-names>LH</given-names></name>, <name><surname>Mertz</surname><given-names>KJ</given-names></name>, <etal/>
<article-title>Environmental sources of community-acquired Legionnaires&#x02019; disease: a review</article-title>. <source>Int J Hyg Environ Health</source>
<year>2018</year>;<volume>221</volume>:<fpage>764</fpage>&#x02013;<lpage>74</lpage>.<pub-id pub-id-type="pmid">29729999</pub-id>
</mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Principe</surname><given-names>L</given-names></name>, <name><surname>Tomao</surname><given-names>P</given-names></name>, <name><surname>Visca</surname><given-names>P</given-names></name>. <article-title>Legionellosis in the occupational setting</article-title>. <source>Environ Res</source>
<year>2017</year>;<volume>152</volume>:<fpage>485</fpage>&#x02013;<lpage>95</lpage>.<pub-id pub-id-type="pmid">27717486</pub-id>
</mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Prussin</surname><given-names>AJ</given-names></name>, <name><surname>Schwake</surname><given-names>DO</given-names></name>, <name><surname>Marr</surname><given-names>LC</given-names></name>. <article-title>Ten questions concerning the aerosolization and transmission of Legionella in the built environment</article-title>. <source>Build Environ</source>
<year>2017</year>;<volume>123</volume>:<fpage>684</fpage>&#x02013;<lpage>95</lpage>.<pub-id pub-id-type="pmid">29104349</pub-id>
</mixed-citation></ref><ref id="R4"><label>4.</label><mixed-citation publication-type="journal"><name><surname>Schwake</surname><given-names>DO</given-names></name>, <name><surname>Alum</surname><given-names>A</given-names></name>, <name><surname>Abbaszadegan</surname><given-names>M</given-names></name>. <article-title>Automobile windshield washer fluid: a potential source of transmission for Legionella</article-title>. <source>Sci Total Environ</source>
<year>2015</year>;<volume>526</volume>:<fpage>271</fpage>&#x02013;<lpage>7</lpage>.<pub-id pub-id-type="pmid">25955695</pub-id>
</mixed-citation></ref><ref id="R5"><label>5.</label><mixed-citation publication-type="journal"><name><surname>Politi</surname><given-names>J</given-names></name>, <name><surname>Queralt</surname><given-names>A</given-names></name>, <name><surname>Valero</surname><given-names>N</given-names></name>, <etal/>
<article-title>Vehicle windshield Wiper fluid as potential source of sporadic Legionnaires&#x02019; disease in commercial truck drivers</article-title>. <source>Emerg Infect Dis</source>
<year>2022</year>;<volume>28</volume>:<fpage>841</fpage>&#x02013;<lpage>3</lpage>.<pub-id pub-id-type="pmid">35318929</pub-id>
</mixed-citation></ref><ref id="R6"><label>6.</label><mixed-citation publication-type="book"><collab>Council of State and Territorial Epidemiologists</collab>. <source>Public health reporting and national notification for Legionellosis. position statement no. 09-ID-45</source>. <publisher-loc>Atlanta, GA</publisher-loc>: <publisher-name>Council of State and Territorial Epidemiologists</publisher-name>; <year>2005</year>. <comment>Available</comment>: <comment><ext-link xlink:href="http://www.cste.org/resource/resmgr/PS/09-ID-45.pdf" ext-link-type="uri">www.cste.org/resource/resmgr/PS/09-ID-45.pdf</ext-link></comment> [<date-in-citation>Accessed 12 Nov 2022</date-in-citation>].</mixed-citation></ref><ref id="R7"><label>7.</label><mixed-citation publication-type="book"><collab>CDC</collab>. <source>Legionnaires&#x02019; disease surveillance summary report, United States 2014&#x02013;2015</source>. <publisher-loc>Atlanta, GA</publisher-loc>
<publisher-name>National Center for Immunization and Respiratory Diseases, CDC</publisher-name>; <year>2018</year>. <comment>Available</comment>: <comment><ext-link xlink:href="https://www.cdc.gov/legionella/health-depts/surv-reporting/2014-15-surv-report-508.pdf" ext-link-type="uri">https://www.cdc.gov/legionella/health-depts/surv-reporting/2014-15-surv-report-508.pdf</ext-link></comment> [<date-in-citation>Accessed 5 Nov 2023</date-in-citation>].</mixed-citation></ref><ref id="R8"><label>8.</label><mixed-citation publication-type="book"><name><surname>Burton</surname><given-names>N</given-names></name>, <collab>Cincinnati AS, NIOSH</collab>. <source>Preventing occupational exposure to Legionella</source>. <publisher-loc>OH</publisher-loc>: <publisher-name>U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication No. 2019-131</publisher-name>;</mixed-citation></ref><ref id="R9"><label>9.</label><mixed-citation publication-type="journal"><name><surname>Sieber</surname><given-names>WK</given-names></name>, <name><surname>Robinson</surname><given-names>CF</given-names></name>, <name><surname>Birdsey</surname><given-names>J</given-names></name>, <etal/>
<article-title>Obesity and other risk factors: the National survey of U.S. long-haul truck driver health and injury</article-title>. <source>Am J Ind Med</source>
<year>2014</year>;<volume>57</volume>:<fpage>615</fpage>&#x02013;<lpage>26</lpage>.<pub-id pub-id-type="pmid">24390804</pub-id>
</mixed-citation></ref><ref id="R10"><label>10.</label><mixed-citation publication-type="journal"><name><surname>Wallensten</surname><given-names>A</given-names></name>, <name><surname>Oliver</surname><given-names>I</given-names></name>, <name><surname>Ricketts</surname><given-names>K</given-names></name>, <etal/>
<article-title>Windscreen Wiper fluid without added screenwash in motor vehicles: a newly identified risk factor for Legionnaires&#x02019; disease</article-title>. <source>Eur J Epidemiol</source>
<year>2010</year>;<volume>25</volume>:<fpage>661</fpage>&#x02013;<lpage>5</lpage>.<pub-id pub-id-type="pmid">20532623</pub-id>
</mixed-citation></ref><ref id="R11"><label>11.</label><mixed-citation publication-type="journal"><name><surname>Scanlon</surname><given-names>MM</given-names></name>, <name><surname>Gordon</surname><given-names>JL</given-names></name>, <name><surname>McCoy</surname><given-names>WF</given-names></name>, <etal/>
<article-title>Water management for construction: evidence for risk characterization in community and healthcare settings: a systematic review</article-title>. <source>Int J Environ Res Public Health</source>
<year>2020</year>;<volume>17</volume>:<fpage>2168</fpage>.<pub-id pub-id-type="pmid">32214051</pub-id>
</mixed-citation></ref><ref id="R12"><label>12.</label><mixed-citation publication-type="journal"><name><surname>Sieber</surname><given-names>K</given-names></name>, <name><surname>Mobley</surname><given-names>A</given-names></name>, <name><surname>Albert</surname><given-names>A</given-names></name>, <etal/>
<article-title>Commercial vehicle operators and Legionnaires&#x02019; disease</article-title>. <source>NIOSH science Blog</source>; <year>2022</year>. Available: <comment><ext-link xlink:href="https://blogs.cdc.gov/niosh-science-blog/2022/05/10/legionnaires-truckers/" ext-link-type="uri">https://blogs.cdc.gov/niosh-science-blog/2022/05/10/legionnaires-truckers/</ext-link></comment> [<date-in-citation>Accessed 7 Sep 2022</date-in-citation>].</mixed-citation></ref></ref-list></back><floats-group><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P21">Stratified by occupation group, frequency, crude incidence rates, and age- and sex-adjusted incidence rate ratios<xref rid="TFN2" ref-type="table-fn">*</xref> for confirmed Legionnaires&#x02019; disease patients &#x02265; 16 years of age whose symptom onset occurred during 2014&#x02013;2016 from the 39 jurisdictions that reported &#x0003e; 90% of their cases&#x02014;Supplemental Legionnaires&#x02019; Disease Surveillance System, United States</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="middle" rowspan="1" colspan="1">U.S. Census 2010 occupation group</th><th align="center" valign="middle" rowspan="1" colspan="1">Total no. of LD patients</th><th align="center" valign="middle" rowspan="1" colspan="1">Total no. of workers</th><th align="center" valign="middle" rowspan="1" colspan="1">Crude IR per 100,000 workers</th><th align="center" valign="middle" rowspan="1" colspan="1">Adjusted IRR<xref rid="TFN2" ref-type="table-fn">*</xref> (95% CI)</th></tr><tr><th align="left" valign="middle" colspan="5" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Transportation</td><td align="center" valign="middle" rowspan="1" colspan="1">287</td><td align="center" valign="middle" rowspan="1" colspan="1">16,659,691</td><td align="center" valign="middle" rowspan="1" colspan="1">1.72</td><td align="right" valign="middle" rowspan="1" colspan="1">2.11 (1.83, 2.45)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Construction</td><td align="center" valign="middle" rowspan="1" colspan="1">269</td><td align="center" valign="middle" rowspan="1" colspan="1">22,195,238</td><td align="center" valign="middle" rowspan="1" colspan="1">1.21</td><td align="right" valign="middle" rowspan="1" colspan="1">1.82 (1.58, 2.10)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Office and administrative support</td><td align="center" valign="middle" rowspan="1" colspan="1">242</td><td align="center" valign="middle" rowspan="1" colspan="1">58,368,001</td><td align="center" valign="middle" rowspan="1" colspan="1">0.41</td><td align="right" valign="middle" rowspan="1" colspan="1">0.93 (0.80, 1.08)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sales</td><td align="center" valign="middle" rowspan="1" colspan="1">235</td><td align="center" valign="middle" rowspan="1" colspan="1">47,749,046</td><td align="center" valign="middle" rowspan="1" colspan="1">0.49</td><td align="right" valign="middle" rowspan="1" colspan="1">0.91 (0.78, 1.07)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Production</td><td align="center" valign="middle" rowspan="1" colspan="1">178</td><td align="center" valign="middle" rowspan="1" colspan="1">26,627,910</td><td align="center" valign="middle" rowspan="1" colspan="1">0.67</td><td align="right" valign="middle" rowspan="1" colspan="1">1.02 (0.86, 1.21)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Building and grounds cleaning and maintenance</td><td align="center" valign="middle" rowspan="1" colspan="1">163</td><td align="center" valign="middle" rowspan="1" colspan="1">17,809,077</td><td align="center" valign="middle" rowspan="1" colspan="1">0.92</td><td align="right" valign="middle" rowspan="1" colspan="1">1.46 (1.23, 1.74)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Management</td><td align="center" valign="middle" rowspan="1" colspan="1">160</td><td align="center" valign="middle" rowspan="1" colspan="1">46,076,681</td><td align="center" valign="middle" rowspan="1" colspan="1">0.35</td><td align="right" valign="middle" rowspan="1" colspan="1">0.46 (0.38, 0.55)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Installation, maintenance, and repair</td><td align="center" valign="middle" rowspan="1" colspan="1">119</td><td align="center" valign="middle" rowspan="1" colspan="1">14,077,977</td><td align="center" valign="middle" rowspan="1" colspan="1">0.85</td><td align="right" valign="middle" rowspan="1" colspan="1">1.10 (0.89, 1.36)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Food preparation and serving</td><td align="center" valign="middle" rowspan="1" colspan="1">115</td><td align="center" valign="middle" rowspan="1" colspan="1">26,452,274</td><td align="center" valign="middle" rowspan="1" colspan="1">0.43</td><td align="right" valign="middle" rowspan="1" colspan="1">1.46 (1.17, 1.83)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Healthcare practitioners and technical</td><td align="center" valign="middle" rowspan="1" colspan="1">106</td><td align="center" valign="middle" rowspan="1" colspan="1">26,541,374</td><td align="center" valign="middle" rowspan="1" colspan="1">0.40</td><td align="right" valign="middle" rowspan="1" colspan="1">0.84 (0.67, 1.06)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Personal care and service</td><td align="center" valign="middle" rowspan="1" colspan="1">88</td><td align="center" valign="middle" rowspan="1" colspan="1">16,850,560</td><td align="center" valign="middle" rowspan="1" colspan="1">0.52</td><td align="right" valign="middle" rowspan="1" colspan="1">1.33 (1.04, 1.70)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Material moving</td><td align="center" valign="middle" rowspan="1" colspan="1">87</td><td align="center" valign="middle" rowspan="1" colspan="1">12,018,492</td><td align="center" valign="middle" rowspan="1" colspan="1">0.72</td><td align="right" valign="middle" rowspan="1" colspan="1">1.37 (1.09, 1.72)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Protective service</td><td align="center" valign="middle" rowspan="1" colspan="1">76</td><td align="center" valign="middle" rowspan="1" colspan="1">9,655,797</td><td align="center" valign="middle" rowspan="1" colspan="1">0.79</td><td align="right" valign="middle" rowspan="1" colspan="1">1.28 (1.00, 1.64)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Healthcare support</td><td align="center" valign="middle" rowspan="1" colspan="1">75</td><td align="center" valign="middle" rowspan="1" colspan="1">10,699,396</td><td align="center" valign="middle" rowspan="1" colspan="1">0.70</td><td align="right" valign="middle" rowspan="1" colspan="1">2.16 (1.67, 2.80)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Education, training, and library</td><td align="center" valign="middle" rowspan="1" colspan="1">59</td><td align="center" valign="middle" rowspan="1" colspan="1">26,965,583</td><td align="center" valign="middle" rowspan="1" colspan="1">0.22</td><td align="right" valign="middle" rowspan="1" colspan="1">0.47 (0.35, 0.63)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Architecture and engineering</td><td align="center" valign="middle" rowspan="1" colspan="1">53</td><td align="center" valign="middle" rowspan="1" colspan="1">8,166,546</td><td align="center" valign="middle" rowspan="1" colspan="1">0.65</td><td align="right" valign="middle" rowspan="1" colspan="1">0.76 (0.56, 1.03)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Arts, design, entertainment, sports, and media</td><td align="center" valign="middle" rowspan="1" colspan="1">43</td><td align="center" valign="middle" rowspan="1" colspan="1">8,954,457</td><td align="center" valign="middle" rowspan="1" colspan="1">0.48</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Business operations</td><td align="center" valign="middle" rowspan="1" colspan="1">38</td><td align="center" valign="middle" rowspan="1" colspan="1">11,737,203</td><td align="center" valign="middle" rowspan="1" colspan="1">0.32</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Community and social services</td><td align="center" valign="middle" rowspan="1" colspan="1">36</td><td align="center" valign="middle" rowspan="1" colspan="1">7,739,875</td><td align="center" valign="middle" rowspan="1" colspan="1">0.47</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Financial</td><td align="center" valign="middle" rowspan="1" colspan="1">33</td><td align="center" valign="middle" rowspan="1" colspan="1">10,017,264</td><td align="center" valign="middle" rowspan="1" colspan="1">0.33</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Legal</td><td align="center" valign="middle" rowspan="1" colspan="1">26</td><td align="center" valign="middle" rowspan="1" colspan="1">5,091,320</td><td align="center" valign="middle" rowspan="1" colspan="1">0.51</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Life, physical, and social science</td><td align="center" valign="middle" rowspan="1" colspan="1">21</td><td align="center" valign="middle" rowspan="1" colspan="1">3,944,611</td><td align="center" valign="middle" rowspan="1" colspan="1">0.53</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Computer and mathematical</td><td align="center" valign="middle" rowspan="1" colspan="1">20</td><td align="center" valign="middle" rowspan="1" colspan="1">12,897,027</td><td align="center" valign="middle" rowspan="1" colspan="1">0.16</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Extraction</td><td align="center" valign="middle" rowspan="1" colspan="1">9</td><td align="center" valign="middle" rowspan="1" colspan="1">618,413</td><td align="center" valign="middle" rowspan="1" colspan="1">1.46</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Farming, fishing, and forestry</td><td align="center" valign="middle" rowspan="1" colspan="1">9</td><td align="center" valign="middle" rowspan="1" colspan="1">3,248,462</td><td align="center" valign="middle" rowspan="1" colspan="1">0.28</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Military specific</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">1,550,111</td><td align="center" valign="middle" rowspan="1" colspan="1">0.39</td><td align="right" valign="middle" rowspan="1" colspan="1">---<xref rid="TFN3" ref-type="table-fn">&#x02020;</xref></td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P22">Abbreviations: LD = Legionnaires&#x02019; disease; IR = incidence rate; IRR = incidence rate ratio; CI = confidence interval</p></fn><fn id="TFN2"><label>*</label><p id="P23">The comparison group is all other occupations. For instance, transportation occupations versus non-transportation occupations or construction occupations versus non-construction occupations.</p></fn><fn id="TFN3"><label>&#x02020;</label><p id="P24">Age- and sex-adjusted IRR only calculated for occupational groups with 50 or more LD cases.</p></fn></table-wrap-foot></table-wrap></floats-group></article>