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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">8406899</journal-id><journal-id journal-id-type="pubmed-jr-id">7945</journal-id><journal-id journal-id-type="nlm-ta">Vaccine</journal-id><journal-id journal-id-type="iso-abbrev">Vaccine</journal-id><journal-title-group><journal-title>Vaccine</journal-title></journal-title-group><issn pub-type="ppub">0264-410X</issn><issn pub-type="epub">1873-2518</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39884913</article-id><article-id pub-id-type="pmc">12229716</article-id><article-id pub-id-type="doi">10.1016/j.vaccine.2025.126806</article-id><article-id pub-id-type="manuscript">NIHMS2091037</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>COVID-19 and Influenza Vaccine Hesitancy among Adults Hospitalized in the United States, 2019 &#x02013; 2022</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Khan</surname><given-names>Akram</given-names></name><degrees>MBBS</degrees><aff id="A1">Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health and Sciences University, Portland, Oregon</aff></contrib><contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Yuwei</given-names></name><degrees>MD</degrees><aff id="A2">Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Babcock</surname><given-names>Hilary M.</given-names></name><degrees>MD, MPH</degrees><aff id="A3">Department of Medicine, Washington University in St. Louis, MO</aff></contrib><contrib contrib-type="author"><name><surname>Busse</surname><given-names>Laurence W.</given-names></name><degrees>MD, MBA</degrees><aff id="A4">Department of Medicine, Emory University, Atlanta, Georgia</aff><aff id="A5">Emory Critical Care Center, Emory Healthcare, Atlanta, GA</aff></contrib><contrib contrib-type="author"><name><surname>Duggal</surname><given-names>Abhijit</given-names></name><degrees>MD</degrees><aff id="A6">Department of Critical Care, Integrated Hospital Care Institute. Cleveland Clinic, Cleveland, Ohio</aff></contrib><contrib contrib-type="author"><name><surname>Exline</surname><given-names>Matthew C.</given-names></name><degrees>MD, MPH</degrees><aff id="A7">Department of Medicine, The Ohio State University, Columbus, Ohio</aff></contrib><contrib contrib-type="author"><name><surname>Gaglani</surname><given-names>Manjusha</given-names></name><degrees>MBBS</degrees><aff id="A8">Baylor Scott and White Health, Temple and Dallas, Texas, and Texas A&#x00026;M University College of Medicine, Temple, Texas</aff></contrib><contrib contrib-type="author"><name><surname>Gibbs</surname><given-names>Kevin W.</given-names></name><degrees>MD</degrees><aff id="A9">Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina</aff></contrib><contrib contrib-type="author"><name><surname>Gong</surname><given-names>Michelle N.</given-names></name><degrees>MD</degrees><aff id="A10">Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York</aff></contrib><contrib contrib-type="author"><name><surname>Ginde</surname><given-names>Adit A.</given-names></name><degrees>MD, MPH</degrees><aff id="A11">Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado</aff></contrib><contrib contrib-type="author"><name><surname>Hager</surname><given-names>David N.</given-names></name><degrees>MD, PhD</degrees><aff id="A12">Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland</aff></contrib><contrib contrib-type="author"><name><surname>Hope</surname><given-names>Aluko A</given-names></name><degrees>MD</degrees><aff id="A13">Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health and Sciences University, Portland, Oregon</aff></contrib><contrib contrib-type="author"><name><surname>Hyde</surname><given-names>Jessica</given-names></name><aff id="A14">Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health and Sciences University, Portland, Oregon</aff></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Nicholas J.</given-names></name><degrees>MD</degrees><aff id="A15">Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington</aff></contrib><contrib contrib-type="author"><name><surname>Kwon</surname><given-names>Jennie H.</given-names></name><degrees>DO, MS</degrees><aff id="A16">Department of Medicine, Washington University, St. Louis, Missouri</aff></contrib><contrib contrib-type="author"><name><surname>Mohr</surname><given-names>Nicholas M.</given-names></name><degrees>MD</degrees><aff id="A17">University of Iowa, Iowa City, Iowa</aff></contrib><contrib contrib-type="author"><name><surname>O&#x02019;Rourke</surname><given-names>Mary</given-names></name><degrees>BA</degrees><aff id="A18">Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota</aff></contrib><contrib contrib-type="author"><name><surname>Peltan</surname><given-names>Ithan D.</given-names></name><degrees>MD, MSc</degrees><aff id="A19">Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah</aff></contrib><contrib contrib-type="author"><name><surname>Mallow</surname><given-names>Christopher</given-names></name><degrees>MD</degrees><aff id="A20">Department of Medicine, University of Miami, Miami, Florida</aff></contrib><contrib contrib-type="author"><name><surname>Qadir</surname><given-names>Nida</given-names></name><degrees>MD</degrees><aff id="A21">Department of Medicine, University of California-Los Angeles, Los Angeles, California</aff></contrib><contrib contrib-type="author"><name><surname>Reddy</surname><given-names>Raju</given-names></name><aff id="A22">Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health and Sciences University, Portland, Oregon</aff></contrib><contrib contrib-type="author"><name><surname>Safdar</surname><given-names>Basmah</given-names></name><degrees>MD</degrees><aff id="A23">Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut</aff></contrib><contrib contrib-type="author"><name><surname>Shapiro</surname><given-names>Nathan I.</given-names></name><degrees>MD, MPH</degrees><aff id="A24">Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts</aff></contrib><contrib contrib-type="author"><name><surname>Sohn</surname><given-names>Ine</given-names></name><degrees>MS</degrees><aff id="A25">Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Steingrub</surname><given-names>Jay S.</given-names></name><degrees>MD</degrees><aff id="A26">Department of Medicine, Baystate Medical Center, Springfield, Massachusetts</aff></contrib><contrib contrib-type="author"><name><surname>Wilson</surname><given-names>Jennifer G.</given-names></name><degrees>MD</degrees><aff id="A27">Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California</aff></contrib><contrib contrib-type="author"><name><surname>Baughman</surname><given-names>Adrienne</given-names></name><aff id="A28">Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Womack</surname><given-names>Kelsey N.</given-names></name><degrees>PhD</degrees><aff id="A29">Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Rhoads</surname><given-names>Jillian P.</given-names></name><degrees>PhD</degrees><aff id="A30">Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Self</surname><given-names>Wesley H.</given-names></name><degrees>MD, MPH</degrees><aff id="A31">Vanderbilt Institute for Clinical and Translational Research, and Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib><contrib contrib-type="author"><name><surname>Stubblefield</surname><given-names>William B.</given-names></name><degrees>MD, MPH</degrees><aff id="A32">Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee</aff></contrib></contrib-group><author-notes><fn fn-type="con" id="FN1"><p id="P1">For the Investigating Respiratory Viruses in the Acutely Ill (IVY) Network</p></fn><corresp id="CR1">Corresponding Author: Akram Khan, MBBS; Oregon Health and Sciences University, Portland, Oregon, USA; <email>khana@ohsu.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>1</day><month>7</month><year>2025</year></pub-date><pub-date pub-type="ppub"><day>27</day><month>2</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>30</day><month>1</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>27</day><month>2</month><year>2026</year></pub-date><volume>48</volume><fpage>126806</fpage><lpage>126806</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P2">Understanding similarities and differences between hesitancy for influenza and COVID-19 vaccines could facilitate strategies to improve public receptivity towards vaccination.</p></sec><sec id="S2"><title>Methods:</title><p id="P3">We compared hesitancy for COVID-19 vaccines during the first 13 months of availability (January 2021-January 2022) with hesitancy for influenza vaccines in the 15 months prior to COVID-19 vaccine availability (October 2019-December 2020) among adults hospitalized with acute respiratory illness at 21 hospitals in the United States. We interviewed patients regarding vaccination status, willingness to be vaccinated, and perceptions of vaccine safety and efficacy. We used multivariate logistic regression to identify factors associated with vaccine hesitancy.</p></sec><sec id="S3"><title>Results:</title><p id="P4">Among 12,292 patients enrolled during the COVID-19 vaccine period, 5,485 (44.6%) were unvaccinated. Patient characteristics associated with not receiving the COVID-19 vaccine included younger age, female sex, higher BMI, lack of health insurance, absence of chronic comorbid medical conditions, no or rare influenza vaccination in prior years, higher CDC social vulnerability index (SVI), a measure of external stresses that may negatively impact health, living in the Midwest or southern US, lack of college or higher education, and not wearing a mask. Among 983 patients enrolled during the influenza vaccination period, 381(37.8%) were unvaccinated. Characteristics associated with not receiving the influenza vaccine included no or one chronic comorbid medical condition, no or rare influenza vaccination in prior years, being a current smoker, and higher SVI. Discussion with healthcare providers was a reason for vaccination for 27.7% (167) for influenza and 8.3% (564) for COVID-19 and to decline vaccination for 0.5% (2) for influenza and 2.2% (118) for COVID-19.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P5">We found that higher SVI scores and lack of prior influenza vaccination were associated with hesitancy for both COVID-19 and influenza vaccines. There were regional variations in COVID-19 vaccine acceptance and discussions with HCPs significantly influenced acceptance for both vaccines.</p></sec></abstract><kwd-group><kwd>Influenza</kwd><kwd>COVID-19</kwd><kwd>SARS-CoV-2</kwd><kwd>vaccine hesitancy</kwd><kwd>vaccine acceptance</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>INTRODUCTION</title><p id="P6">Vaccination against viral pathogens can markedly improve public health [<xref rid="R1" ref-type="bibr">1</xref>, <xref rid="R2" ref-type="bibr">2</xref>]. However, vaccine hesitancy, a delay or refusal of vaccination despite the availability of safe and effective vaccines, has recently increased[<xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref>] and has been particularly prevalent for COVID-19 vaccines [<xref rid="R6" ref-type="bibr">6</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref>].</p><p id="P7">COVID-19 vaccines became widely available in the United States (US) in early 2021 [<xref rid="R9" ref-type="bibr">9</xref>&#x02013;<xref rid="R14" ref-type="bibr">14</xref>]. The vaccines are safe and highly effective in preventing COVID-19 associated severe disease[<xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R14" ref-type="bibr">14</xref>&#x02013;<xref rid="R20" ref-type="bibr">20</xref>]. Despite widespread availability, approximately 18.6% of eligible persons in the US had not received a primary COVID-19 vaccine series, and 83% had not received the updated bivalent COVID-19 vaccine by May 2023 [<xref rid="R5" ref-type="bibr">5</xref>, <xref rid="R21" ref-type="bibr">21</xref>]. Understanding why some people decline COVID-19 vaccination is crucial to increasing vaccination rates and maintaining a highly vaccinated population against respiratory viral illnesses, especially when serial vaccinations are necessary [<xref rid="R22" ref-type="bibr">22</xref>].</p><p id="P8">Well-described strategies to decrease hesitancy for seasonal influenza vaccination may inform approaches to overcome COVID-19 vaccine hesitancy, especially if risk factors for being unvaccinated and vaccine hesitancy for COVID-19 and influenza vaccines are similar[<xref rid="R23" ref-type="bibr">23</xref>]. These include community outreach programs and worksite interventions,[<xref rid="R24" ref-type="bibr">24</xref>] educating patients through various tailored methods,[<xref rid="R25" ref-type="bibr">25</xref>&#x02013;<xref rid="R27" ref-type="bibr">27</xref>] training physicans to improve communication with patients,[<xref rid="R25" ref-type="bibr">25</xref>, <xref rid="R28" ref-type="bibr">28</xref>] and expanding access to vaccine services.[<xref rid="R29" ref-type="bibr">29</xref>] To evaluate the similarities and differences in vaccine hesitancy between COVID-19 and influenza vaccines, we evaluated risk factors for being unvaccinated and patient perceptions related to these vaccines among US adults hospitalized with acute respiratory illnesses between 2019 and 2022.</p></sec><sec id="S6"><title>METHODS</title><sec id="S7"><title>Design and Setting</title><p id="P9">As part of an in-hospital surveillance program within the Investigating Respiratory Viruses in the Acutely Ill (IVY) Network [<xref rid="R30" ref-type="bibr">30</xref>&#x02013;<xref rid="R32" ref-type="bibr">32</xref>], we prospectively enrolled adults hospitalized with signs and symptoms of acute respiratory infection at 21 hospitals in 18 US states between October 10, 2019, and January 25, 2022. We chose hospitalized patients with respiratory syndromes as our sample population because they represent a high-risk group with significant exposure to healthcare systems, making them uniquely positioned to benefit from vaccination. This approach allowed for a controlled data collection process and access to detailed clinical information.</p><p id="P10">The US Centers for Disease Control and Prevention (CDC) funds the IVY Network surveillance program. The program was determined to be public health surveillance by all participating institutions and the CDC with a waiver of informed consent. We have previously reported COVID-19 and influenza vaccine effectiveness using data from this program [<xref rid="R30" ref-type="bibr">30</xref>&#x02013;<xref rid="R32" ref-type="bibr">32</xref>]. We also previously reported risk factors for being unvaccinated for influenza and patient perceptions of influenza vaccines [<xref rid="R33" ref-type="bibr">33</xref>]. The current study expands on prior work by evaluating risk factors for being unvaccinated for COVID-19 and patient perceptions of COVID-19 vaccines.</p></sec><sec id="S8"><title>Population</title><p id="P11">Eligibility criteria included hospital admission with signs and or symptoms of an acute respiratory infection, such as acute cough, shortness of breath, or fever (full eligibility criteria, including modifications during the study, are detailed in <xref rid="SD1" ref-type="supplementary-material">Table S1</xref>). Enrollment included both cases, defined as patients with laboratory-confirmed influenza or SARS-CoV-2 infection, and controls, defined as patients with negative testing for influenza and, after March 2020, SARS-CoV-2. Patients were enrolled from October 10, 2019 - January 25, 2022, and divided into two periods based on the timing of widespread availability of COVID-19 vaccines beginning in January 2021: (1) Influenza vaccine assessment period (October 10, 2019 - December 31, 2020); and (2) COVID-19 vaccine assessment period (January 1, 2021 - January 25, 2022). The study population for this analysis included patients enrolled in the IVY surveillance program who completed self-reported interview questions about vaccine receipt and vaccine perceptions.</p></sec><sec id="S9"><title>Data collection and classification</title><p id="P12">At the time patients were prospectively enrolled in the hospital, trained study personnel interviewed patients (or surrogate caretakers when the patient could not answer) regarding vaccination status and their perceptions of influenza vaccines (October 2019 - December 2020) or COVID-19 vaccines (January 2021 - January 2022) using standardized questions. For this analysis, unvaccinated status for COVID-19 was defined as no COVID-19 vaccine dose at any time, and unvaccinated status for influenza was defined as no influenza vaccine dose in the year prior to enrollment. Data on source verification of vaccine receipt collected from enrolled patients were not used in the current analysis due to its focus on patient- or surrogate-reported perceptions of vaccines, which relied on the patient&#x02019;s self-report of being vaccinated or unvaccinated.[<xref rid="R30" ref-type="bibr">30</xref>&#x02013;<xref rid="R32" ref-type="bibr">32</xref>, <xref rid="R34" ref-type="bibr">34</xref>]</p><p id="P13">Patients reported to have been vaccinated selected the primary reason they received a vaccine from prespecified answer options (<xref rid="SD1" ref-type="supplementary-material">Table S2</xref>). For patients who reported not being vaccinated, patients selected reasons for non-vaccination from two broad categories: (1) the patient desired to be vaccinated but had not been vaccinated yet, and (2) the patient did not desire to be vaccinated. Patients selected their primary reason for non-vaccination within each category from prespecified answer options (<xref rid="SD1" ref-type="supplementary-material">Table S3</xref>) or provided a free text answer. The proportions of unvaccinated patients who reported a logistical barrier to vaccine receipt and those who reported a personal choice to remain unvaccinated were tracked over time. Two investigators (AK &#x00026; WBS) independently reviewed free text answers. They classified them into one of the prespecified choices if they fit the theme of one of the answer choices or classified it as &#x0201c;other&#x0201d; if it did not. In the case of a disagreement between the initial two evaluations, a third investigator (WHS) classified the response, and the final classification was based on the majority opinion.</p><p id="P14">Data on demographics and medical conditions were collected by structured electronic medical record (EMR) review using a data collection instrument shared across all sites. The CDC Social Vulnerability Index (SVI) was used to classify patient communities. The CDC SVI measures external stresses on a community that may negatively impact health.[<xref rid="R35" ref-type="bibr">35</xref>] Following standardized methods, the patient&#x02019;s home address was used to geo-code each patient to a specific community. Then, 16 US census variables were used to assign a Social Vulnerability Index score for that community. The SVI score ranges from 0 to 1, with higher scores indicating more stressors (greater vulnerability). For example, a community with a SVI score of 0.75 is more vulnerable than 75% of US communities.</p></sec><sec id="S10"><title>Statistical analysis</title><p id="P15">The study population was stratified by date of hospital admission into two groups: (1) the influenza vaccine assessment period (dates of enrollment: October 10, 2019 - December 31, 2020) and (2) the COVID-19 vaccine assessment period (dates of enrollment: January 1, 2021 - January 25, 2022). Cases (positive for influenza or COVID-19) and controls (negative for influenza and COVID-19) were pooled for analysis. Within each period, patient characteristics were compared between unvaccinated and vaccinated individuals using the chi-square test for categorical variables and Wilcoxon tests for continuous variables.</p><p id="P16">Multivariable logistic regression models were constructed to assess for associations between patient characteristics and unvaccinated status. These characteristics were selected <italic toggle="yes">a priori</italic> based on expert opinion regarding characteristics that may have important associations with patients&#x02019; vaccination status [<xref rid="R8" ref-type="bibr">8</xref>, <xref rid="R33" ref-type="bibr">33</xref>, <xref rid="R36" ref-type="bibr">36</xref>&#x02013;<xref rid="R38" ref-type="bibr">38</xref>]. The following patient characteristics were evaluated: age, sex, race/ethnicity, body mass index, chronic medical conditions, health insurance, social vulnerability index, census tract region (Northeast, Midwest, West and South), tobacco smoking, and self/surrogate reported influenza vaccination frequency in the past. For COVID-19, unvaccinated status, education level, and masking practice in public places were also included as potential risk factors (<xref rid="SD1" ref-type="supplementary-material">Table S4</xref> contains a detailed description of these variables).</p><p id="P17">The primary reason for being vaccinated or unvaccinated was reported with frequency counts and proportions and compared between the COVID-19 and influenza vaccine assessment periods. In addition, during the COVID-19 vaccine assessment period, the proportion of unvaccinated patients reporting a personal choice to remain unvaccinated vs. logistic limitations was reported by quarter (3-month blocks) with 95% confidence intervals calculated using the Wilson method [<xref rid="R39" ref-type="bibr">39</xref>].</p></sec></sec><sec id="S11"><title>RESULTS</title><p id="P18">A total of 16,272 adults hospitalized with an acute respiratory illness were prospectively enrolled. Self-reported influenza or COVID-19 vaccination status was unavailable for 2997(18.4%), resulting in an analytical population of 13,275 patients, including 12,292 (92.6%) patients in the COVID-19 vaccine assessment period (January 1, 2021 &#x02013; January 25, 2022) and 983 (7.4%) patients in the influenza vaccine assessment period (October 10, 2019 &#x02013; December 31, 2020) (<xref rid="SD1" ref-type="supplementary-material">Figure S1</xref>). Our analysis focused on understanding vaccine hesitancy during this critical period, when initial responses to COVID-19 vaccines were forming, and offers valuable insights into the early drivers of vaccine acceptance.</p><p id="P19">Of 12,292 inpatients during the COVID-19 vaccine assessment period, 5637 (45.9%) tested positive for SARS-CoV-2, 6655 (54.1%) tested negative for SARS-CoV-2, 6807 (55.4%) reported receiving at least one COVID-19 vaccine, and 5485 (44.6%) reported being unvaccinated for COVID-19 (<xref rid="T1" ref-type="table">Table 1</xref>). The median age was 60 years (IQR 47&#x02013;71), 5939 (48%) were female, 2549 (21%) were Black, and 2033 (17%) were Hispanic. In addition, 4421 (36%) had at least 3 chronic medical conditions.</p><p id="P20">Of 983 inpatients during the influenza vaccine assessment period, 335 (34.1%) tested positive for influenza, 648 (65.9%) tested negative for influenza, 602 (61.2%) reported receiving the influenza vaccine, and 381 (38.8%) reported being unvaccinated for influenza (<xref rid="T1" ref-type="table">Table 1</xref>). The median age was 59 years (IQR 45&#x02013;70), 476 (48%) were female, 219 (22%) were Black, 100 (10%) were Hispanic, and 384 (39%) had at least 3 chronic medical conditions.</p><p id="P21">In multivariable regression, patient characteristics significantly associated with not receiving the COVID-19 vaccine after adjusting for other covariates included younger age, female sex, increasing BMI, lack of insurance, absence of chronic comorbid medical conditions, no or rare influenza vaccination in prior years, higher SVI, living in the Midwest or Southern US, lack of college or higher education and not wearing a mask (<xref rid="F1" ref-type="fig">Figure 1a</xref>, <xref rid="SD1" ref-type="supplementary-material">Table S5</xref>). Patient characteristics significantly associated with not receiving influenza vaccination after adjusting for other covariates included a higher SVI, being a current smoker, no or rare influenza vaccination in prior years, and no or one chronic comorbid medical condition (<xref rid="F1" ref-type="fig">Figure 1b</xref>, <xref rid="SD1" ref-type="supplementary-material">Table S6</xref>).</p><sec id="S12"><title>Patient-reported reasons for receiving vaccination (vaccine acceptance)</title><p id="P22">A higher proportion of respondents identified personal protection as the primary reason for receiving the COVID-19 vaccine, compared to the influenza vaccine (76.4% vs 66.5%, p &#x0003c;0.001). The second most common reason for vaccination was a healthcare provider recommendation, however, this was less frequently reported as the primary motivation for COVID-19 vaccination than for influenza vaccination (8.3% vs 27.7%, p &#x0003c;0.001) (<xref rid="T2" ref-type="table">Table 2</xref>). Only a small percentage of respondents identified vaccine advertisements (5.4%) or a work-related mandates as their main reason for choosing to receive the COVID-19 vaccine (1.3%).</p></sec><sec id="S13"><title>Patient reported reasons for not receiving vaccination (vaccine hesitancy)</title><p id="P23">The primary reason for not getting vaccinated for both COVID-19 and influenza was planning to get vaccinated but having not done so yet (<xref rid="T3" ref-type="table">Table 3</xref>). The proportion was lower for COVID-19 compared to influenza (16.8% vs 30.7%, p &#x0003c;0.001). The proportion of unvaccinated individuals avoiding vaccination due to the belief that the vaccines are dangerous was similar between COVID-19 and influenza (11.6% vs. 13.7%, p 0.27). A lower proportion of participants believed that COVID-19 vaccination was not important for health compared to influenza vaccination (11.9% vs. 24.2%, p &#x0003c;0.001). (<xref rid="T3" ref-type="table">Table 3</xref>). During the first 13 months of COVID-19 vaccine availability in the US, trends reflected an increasing proportion of unvaccinated patients avoiding vaccination for personal reasons compared to logistic issues with getting to a vaccination site (p&#x0003c;0.001, trend test, <xref rid="F2" ref-type="fig">Figure 2</xref>). A small proportion of unvaccinated COVID-19 individuals reported not getting vaccinated based on advice from their healthcare provider compared to unvaccinated influenza individuals (2.2% vs. 0.5%, p = 0.05). A small proportion for both vaccines believed a medical condition or pregnancy had made them ineligible for the vaccine.</p></sec></sec><sec id="S14"><title>DISCUSSION</title><p id="P24">Bivalent COVID-19 vaccines against the ancestral, Omicron BA.4/BA.5 and XBB.1.5 variants, have been shown to be safe and effective [<xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R40" ref-type="bibr">40</xref>, <xref rid="R41" ref-type="bibr">41</xref>]. The uptake of the bivalent COVID-19 vaccine remains low, and as of May 2023, 18.6% of eligible persons in the US had not received a primary COVID-19 vaccine series, and 83% had not received the updated (bivalent) COVID-19 vaccine.[<xref rid="R5" ref-type="bibr">5</xref>, <xref rid="R21" ref-type="bibr">21</xref>] Multiple factors have led to vaccine hesitancy, such as vaccine fatigue, perceived immunity after infection, lack of patient education on eligibility, vaccine availability, and perceived safety of the vaccination [<xref rid="R8" ref-type="bibr">8</xref>, <xref rid="R37" ref-type="bibr">37</xref>, <xref rid="R38" ref-type="bibr">38</xref>, <xref rid="R42" ref-type="bibr">42</xref>]. Understanding vaccine hesitancy for the primary COVID-19 vaccine series and comparisons with influenza may help design interventions to improve vaccine uptake for future pandemics.</p><p id="P25">In this prospective analysis from the IVY Network, we identified similarities in vaccine hesitancy between the primary COVID-19 vaccine and the influenza vaccine. COVID-19 vaccine hesitancy was associated with younger age, female sex, absence of comorbid chronic conditions, no or rare prior influenza vaccination, and social factors such as lack of insurance, high school or lower education, and higher social vulnerability. Similarly, influenza vaccine hesitancy was associated with having one or fewer comorbid chronic conditions, no or rare influenza vaccination in prior years, and higher social vulnerability.</p><p id="P26">However there were notable differences between the two vaccines. Age, sex, BMI, and insurance status were associated with being unvaccinated for the COVID-19 vaccine but did not reach statistical significance for being unvaccinated for the influenza vaccine. Smoking was associated with influenza vaccine hesitancy but not with COVID-19 hesitancy. There were regional variations in COVID-19 vaccine hesitancy with lower acceptance in the Midwest and Southern US, while there were no significant regional variations for influenza vaccine.</p><p id="P27">A significant finding of our analysis is that higher proportions of patients vaccinated for influenza &#x0201c;every or most years&#x0201d; were vaccinated for both influenza and COVID-19 (<xref rid="F1" ref-type="fig">Figures 1a</xref> and <xref rid="F1" ref-type="fig">b</xref>). While early in the pandemic, logistic limitations were a significant barrier to vaccination, personal choice became the dominant factor over time (<xref rid="F2" ref-type="fig">Figure 2</xref>). A discussion with a healthcare provider was identified as a more common reason for accepting the influenza vaccine than the COVID-19 vaccine, and in a small minority of cases cited as a reason for declining the COVID-19 vaccine more often than the influenza vaccine.</p><p id="P28">In our study, healthcare provider recommendations significantly influenced vaccine uptake, particularly for the influenza vaccine. However, since respondents could identify only one primary reason for vaccination, the role of healthcare provider recommendations may be understated. The higher proportion of individuals citing &#x02018;personal protection&#x02019; as their primary reason for receiving the COVID-19 vaccine likely reflects an elevated perception of COVID-19-related risk rather than a diminished influence of healthcare providers. Additionally, while a small proportion of respondents reported that their healthcare provider advised against COVID-19 vaccination (2.2%), this finding may not be meaningful given the low numbers.</p><p id="P29">Our data have several implications for overcoming vaccine hesitancy. First, individuals frequently rely on healthcare providers as trusted and credible sources for vaccine information[<xref rid="R3" ref-type="bibr">3</xref>, <xref rid="R43" ref-type="bibr">43</xref>]. In our study, healthcare provider discussion was the primary reason for 27% of respondents to accept the influenza vaccine and 8.3% of patients to accept the COVID-19 vaccine, and these differences in numbers were significant. Notably, healthcare providers advised a small proportion, 0.5%, of patients to decline the influenza vaccine and 2.2% to decline the COVID-19 vaccine, presumably due to providers&#x02019; concerns regarding the vaccine for those individuals. In addition, 6.1% of COVID-19 hesitant patients chose not to receive the vaccine due to worries about underlying medical conditions that their healthcare provider could have also addressed. Our data is similar to a study by Garza et al., which showed that trusting advice from a physician or healthcare organization increased the odds of receiving the COVID-19 vaccine[<xref rid="R43" ref-type="bibr">43</xref>]. Partnering with healthcare providers may significantly reduce vaccine hesitancy and improve acceptance for influenza and COVID-19. A factor which would be important in future pandemics.</p><p id="P30">Second, prior vaccination influences future behaviors.[<xref rid="R43" ref-type="bibr">43</xref>] In our cohort, a history of vaccination for influenza &#x0201c;every year or most years&#x0201d; was highly associated with both influenza and COVID-19 vaccination, suggesting the continued importance of influenza vaccination discussions. Our findings suggest that a history of influenza vaccination may influence future vaccine behaviors, including COVID-19 vaccination. Those vaccinated for influenza &#x0201c;every year or most years&#x0201d; were significantly more likely to receive both influenza and COVID-19 vaccines. This supports the notion that addressing influenza vaccine hesitancy may indirectly improve uptake of other vaccines, including the COVID-19 vaccine and any future pandemics. This is consistent with other studies demonstrating an association between influenza and COVID-19 hesitancy.[<xref rid="R43" ref-type="bibr">43</xref>, <xref rid="R44" ref-type="bibr">44</xref>]</p><p id="P31">Third, in our sample, COVID-19 vaccine hesitancy was higher in younger individuals, females, those with lower educational attainment, and people living in areas with high social vulnerability. Increasing educational efforts in these high-risk groups may help address vaccine hesitancy, as seen in other studies [<xref rid="R45" ref-type="bibr">45</xref>].</p><p id="P32">Our data identified differences in COVID-19 vaccine acceptance and hesitancy based on insurance status and age, which has been noted in other studies [<xref rid="R46" ref-type="bibr">46</xref>&#x02013;<xref rid="R49" ref-type="bibr">49</xref>]. A 2020 Medicare beneficiary survey showed that up to 40% of Medicare beneficiaries were hesitant about getting a COVID-19 vaccine, however, unlike our study population, the hesitancy was greater in racial/ethnic minorities [<xref rid="R50" ref-type="bibr">50</xref>].</p><p id="P33">Additionaly as seen in other studies, socio-political factors like misinformation and trust in the scientific community may also contribute to hesitancy [<xref rid="R7" ref-type="bibr">7</xref>]. Approximately 11.6% of our cohort did not receive the COVID-19 vaccine due to safety concerns, a figure that aligns with other studies. Vaccine hesitancy may be related to trust in the scientific community, with a higher level of trust being associated with higher vaccination rates.[<xref rid="R51" ref-type="bibr">51</xref>] Basagra et al. found racial differences between groups. In their sample, Asian and Caucasian groups had a greater trust in the government and scientific community than Native Americans and African Americans. In a survey of 1,068 stable adult ED patients without active COVID-19, 31.6% of ED patients reported vaccine hesitancy.[<xref rid="R52" ref-type="bibr">52</xref>] In a multivariate regression analysis, Black race (odds ratio [OR] 4.24, 95% confidence interval [CI], 2.62 &#x02013; 6.85) and younger age (age 18&#x02013;24 years OR 4.57, 95% CI, 2.66 &#x02013; 7.86; age 25&#x02013;35 years OR 5.71, 95% CI, 3.71 &#x02013; 8.81) were independently associated with hesitancy, to a greater degree than the level of education (high school education or less OR 2.27, 95% CI, 1.23 &#x02013; 4.19). In addition, hesitant patients were significantly less likely to trust governmental sources of vaccine information than non-hesitant patients (39.6% v. 78.9%, p &#x0003c; 0.001); a smaller difference was noted in the domain of trust toward friends and family (51.1% v. 61.0%, p = 0.004). Hesitant patients also cited vaccine safety concerns and a perception of insufficient supportive research.</p><p id="P34">In a survey of approximately 1000 adults in April 2020 for the COVID-19 vaccine, 57.6% of participants (n = 571) intended to be vaccinated, 31.6% (n = 313) were not sure, and 10.8% (n = 107) did not intend to be vaccinated.[<xref rid="R53" ref-type="bibr">53</xref>] Factors independently associated with vaccine hesitancy included younger age, African-American race, lower educational attainment, and not receiving the influenza vaccine in the prior year. In addition, other reasons for vaccine hesitancy included vaccine-specific concerns, a need for more information, antivaccine attitudes or beliefs, and a lack of trust.</p><p id="P35">Similar to our study, vaccine hesitancy in Canada was significantly associated with younger age (18&#x02013;39 years), lower education, and non-liberal political leaning [<xref rid="R54" ref-type="bibr">54</xref>]. In this study, the vaccine hesitant were less likely to believe that a COVID-19 vaccine could end the pandemic or that the benefits of a COVID-19 vaccine outweighed the risks [<xref rid="R54" ref-type="bibr">54</xref>]. Like our cohort, individuals with vaccine hesitancy had a higher prevalence of being concerned about vaccine side effects, a lower prevalence of being influenced by peers or healthcare providers, and a lower prevalence of trust in government institutions. Similarly, in a survey of 1,000 people in Nevada, 30.4% exhibited vaccine hesitancy, which was higher in younger individuals and middle-aged females, African Americans, lower-income, and conservative individuals [<xref rid="R55" ref-type="bibr">55</xref>].</p><p id="P36">Our data are also consistent with our prior work, showing that amongst individuals hospitalized with severe acute respiratory illness from 2019&#x02013;2020, 38.9% reported not receiving the influenza vaccine [<xref rid="R56" ref-type="bibr">56</xref>]. In the unvaccinated group, 51.1% reported not receiving the vaccine due to perceived ineffectiveness or risks of influenza vaccination. Like our current study, lack of medical insurance and, unlike our current data, Black or Hispanic race were associated with higher rates of vaccine hesitancy.</p><p id="P37">Our study had a few notable limitations. We used self-reported vaccination status, which may introduce reporting bias. However, self-reported vaccination status has been congruent with biological tests, suggesting that it can be a valid vaccination measure [<xref rid="R57" ref-type="bibr">57</xref>, <xref rid="R58" ref-type="bibr">58</xref>]. We surveyed hospitalized patients who may not be fully representative of the general public, limiting the generalizability of our findings. We excluded subjects 67 subjects unwilling to discuss reasons for their COVID-19 vaccine hesitancy. This may limit the diversity of perspectives captured. In addition, participant responses may have been affected by social desirability bias [<xref rid="R37" ref-type="bibr">37</xref>, <xref rid="R59" ref-type="bibr">59</xref>]. In our survey participants could only select one primary reason for vaccination, which likely limits the accuracy of capturing the full range of motivations and likely underestimates the influnace of healthcare providers. Our models adjust for various risk factors, but it is possible that other unmeasured factors influencing hesitancy were not included. Despite discordant sample size, both influenza and COVID-19 cohorts should have sufficient power to identify risk factors, though we focused on similarities and differences based on point estimates. Finally our data were collected during the early phase of the pandemic, a period characterized by high levels of public concern regarding COVID-19 and strong expectations surrounding the impact of vaccination. Since then, public opinions and vaccine behaviors have shifted significantly. This shift limits the direct applicability of our findings to the present, though our study provides valuable insights into the initial drivers of vaccine hesitancy.</p></sec><sec id="S15"><title>CONCLUSION</title><p id="P38">Vaccine hesitancy remains a significant challenge in the US particularly among certain socioeconomic and demographic groups. Our analysis showed that individuals with a history of regular influenza vaccination were more likely to choose to be vaccinated for both influenza and COVID-19, and infrequent vaccination for influenza was associated with vaccine hesitancy for both influenza and COVID-19. Therefore, efforts to improve influenza vaccination may indirectly improve COVID-19 vaccination rates, including the new generation of COVID-19 vaccines. We observed regional variations in vaccine acceptance for COVID-19, vaccine hesitancy more prevalent among younger individuals, females, the uninsured, those with lower education levels and socially vulnerable populations. Targeted outreach and education efforts directed at may be crucial to improving vaccination rates. Finally, healthcare provider recommendations played an important role in patients decisions to accept or decline vaccination. Ensuring consistent, clear and proactive messaging from healthcare providers may be a key strategy in addressing vaccine hesitancy for both influenza and COVID-19.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplementary Material</label><caption><p id="P39"><bold>Supplementary Figure S1</bold> Consort Diagram</p></caption><media xlink:href="NIHMS2091037-supplement-Supplementary_Material.docx" id="d67e670" position="anchor"/></supplementary-material></sec></body><back><ack id="S16"><title>Acknowledgments</title><p id="P40">The authors would like to thank Minn Oh, Ph.D. and Jose Pena, MD for administrative support. This work was financially supported by the Primary funding for this work was provided by the United States Centers for Disease Control and Prevention (contracts 75D30119C05670, 75D30120C07637, 75D30120F00002, and 75D30122C12914.</p><sec id="S17"><title>Funding:</title><p id="P41">Primary funding for this work was provided by the United States Centers for Disease Control and Prevention (contracts 75D30119C05670, 75D30120C07637, 75D30120F00002, and 75D30122C12914).</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P43">Declaration Of Competing Interest</p><p id="P44">Competing interest documents provided.</p></fn><fn id="FN3"><p id="P45">CRediT Authorship Contribution Statement</p><p id="P46">Conceptualization, Investigation, Methodology, Writing &#x02013; original draft: Akram Khan, Wes Self, William B. Stubblefield.</p><p id="P47">Statistical analysis: Yuwei Zhu, Ine Sohn</p><p id="P48">Writing - Review &#x00026; Editing: All authors</p></fn><fn id="FN4"><p id="P49">Disclaimer:</p><p id="P50">The findings and conclusions in this report are those of the authors and do not necessarily represent the Office of the Centers for Disease Control and Prevention (CDC).</p></fn></fn-group><sec sec-type="data-availability" id="S28"><title>Data availability</title><p id="P42">Data will be made available on request.</p></sec><ref-list><title>REFERENCES</title><ref id="R1"><label>[1]</label><mixed-citation publication-type="journal"><article-title>Ten great public health achievements--United States, 1900&#x02013;1999</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>1999</year>;<volume>48</volume>:<fpage>241</fpage>&#x02013;<lpage>3</lpage>.<pub-id pub-id-type="pmid">10220250</pub-id>
</mixed-citation></ref><ref id="R2"><label>[2]</label><mixed-citation publication-type="journal"><article-title>Ten great public health achievements--United States, 2001&#x02013;2010</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2011</year>;<volume>60</volume>:<fpage>619</fpage>&#x02013;<lpage>23</lpage>.<pub-id pub-id-type="pmid">21597455</pub-id>
</mixed-citation></ref><ref id="R3"><label>[3]</label><mixed-citation publication-type="journal"><name><surname>Dudley</surname><given-names>MZ</given-names></name>, <name><surname>Halsey</surname><given-names>NA</given-names></name>, <name><surname>Omer</surname><given-names>SB</given-names></name>, <name><surname>Orenstein</surname><given-names>WA</given-names></name>, <name><surname>O&#x02019;Leary</surname><given-names>ST</given-names></name>, <name><surname>Limaye</surname><given-names>RJ</given-names></name>, <etal/>
<article-title>The state of vaccine safety science: systematic reviews of the evidence</article-title>. <source>Lancet Infect Dis</source>. <year>2020</year>;<volume>20</volume>:<fpage>e80</fpage>&#x02013;<lpage>e9</lpage>.<pub-id pub-id-type="pmid">32278359</pub-id>
</mixed-citation></ref><ref id="R4"><label>[4]</label><mixed-citation publication-type="journal"><name><surname>MacDonald</surname><given-names>NE</given-names></name>, <name><surname>Hesitancy</surname><given-names>SWGoV</given-names></name>. <article-title>Vaccine hesitancy: Definition, scope and determinants</article-title>. <source>Vaccine</source>. <year>2015</year>;<volume>33</volume>:<fpage>4161</fpage>&#x02013;<lpage>4</lpage>.<pub-id pub-id-type="pmid">25896383</pub-id>
</mixed-citation></ref><ref id="R5"><label>[5]</label><mixed-citation publication-type="journal"><name><surname>Cohn</surname><given-names>AC</given-names></name>, <name><surname>Mahon</surname><given-names>BE</given-names></name>, <name><surname>Walensky</surname><given-names>RP</given-names></name>. <article-title>One Year of COVID-19 Vaccines: A Shot of Hope, a Dose of Reality</article-title>. <source>JAMA</source>. <year>2022</year>;<volume>327</volume>:<fpage>119</fpage>&#x02013;<lpage>20</lpage>.<pub-id pub-id-type="pmid">34932067</pub-id>
</mixed-citation></ref><ref id="R6"><label>[6]</label><mixed-citation publication-type="journal"><name><surname>Islam</surname><given-names>MS</given-names></name>, <name><surname>Kamal</surname><given-names>AM</given-names></name>, <name><surname>Kabir</surname><given-names>A</given-names></name>, <name><surname>Southern</surname><given-names>DL</given-names></name>, <name><surname>Khan</surname><given-names>SH</given-names></name>, <name><surname>Hasan</surname><given-names>SMM</given-names></name>, <etal/>
<article-title>COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence</article-title>. <source>PLoS One</source>. <year>2021</year>;<volume>16</volume>:<fpage>e0251605</fpage>.<pub-id pub-id-type="pmid">33979412</pub-id>
</mixed-citation></ref><ref id="R7"><label>[7]</label><mixed-citation publication-type="journal"><name><surname>Loomba</surname><given-names>S</given-names></name>, <name><surname>de Figueiredo</surname><given-names>A</given-names></name>, <name><surname>Piatek</surname><given-names>SJ</given-names></name>, <name><surname>de Graaf</surname><given-names>K</given-names></name>, <name><surname>Larson</surname><given-names>HJ</given-names></name>. <article-title>Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA</article-title>. <source>Nat Hum Behav</source>. <year>2021</year>;<volume>5</volume>:<fpage>337</fpage>&#x02013;<lpage>48</lpage>.<pub-id pub-id-type="pmid">33547453</pub-id>
</mixed-citation></ref><ref id="R8"><label>[8]</label><mixed-citation publication-type="journal"><name><surname>Lazarus</surname><given-names>JV</given-names></name>, <name><surname>Wyka</surname><given-names>K</given-names></name>, <name><surname>White</surname><given-names>TM</given-names></name>, <name><surname>Picchio</surname><given-names>CA</given-names></name>, <name><surname>Gostin</surname><given-names>LO</given-names></name>, <name><surname>Larson</surname><given-names>HJ</given-names></name>, <etal/>
<article-title>A survey of COVID-19 vaccine acceptance across 23 countries in 2022</article-title>. <source>Nat Med</source>. <year>2023</year>.</mixed-citation></ref><ref id="R9"><label>[9]</label><mixed-citation publication-type="journal"><name><surname>Walsh</surname><given-names>EE</given-names></name>, <name><surname>Frenck</surname><given-names>RW</given-names><suffix>Jr.</suffix></name>, <name><surname>Falsey</surname><given-names>AR</given-names></name>, <name><surname>Kitchin</surname><given-names>N</given-names></name>, <name><surname>Absalon</surname><given-names>J</given-names></name>, <name><surname>Gurtman</surname><given-names>A</given-names></name>, <etal/>
<article-title>Safety and Immunogenicity of Two RNA-Based Covid-19 Vaccine Candidates</article-title>. <source>N Engl J Med</source>. <year>2020</year>;<volume>383</volume>:<fpage>2439</fpage>&#x02013;<lpage>50</lpage>.<pub-id pub-id-type="pmid">33053279</pub-id>
</mixed-citation></ref><ref id="R10"><label>[10]</label><mixed-citation publication-type="journal"><name><surname>Sadoff</surname><given-names>J</given-names></name>, <name><surname>Le Gars</surname><given-names>M</given-names></name>, <name><surname>Shukarev</surname><given-names>G</given-names></name>, <name><surname>Heerwegh</surname><given-names>D</given-names></name>, <name><surname>Truyers</surname><given-names>C</given-names></name>, <name><surname>de Groot</surname><given-names>AM</given-names></name>, <etal/>
<article-title>Interim Results of a Phase 1&#x02013;2a Trial of Ad26.COV2.S Covid-19 Vaccine</article-title>. <source>N Engl J Med</source>. <year>2021</year>;<volume>384</volume>:<fpage>1824</fpage>&#x02013;<lpage>35</lpage>.<pub-id pub-id-type="pmid">33440088</pub-id>
</mixed-citation></ref><ref id="R11"><label>[11]</label><mixed-citation publication-type="journal"><name><surname>Jackson</surname><given-names>LA</given-names></name>, <name><surname>Anderson</surname><given-names>EJ</given-names></name>, <name><surname>Rouphael</surname><given-names>NG</given-names></name>, <name><surname>Roberts</surname><given-names>PC</given-names></name>, <name><surname>Makhene</surname><given-names>M</given-names></name>, <name><surname>Coler</surname><given-names>RN</given-names></name>, <etal/>
<article-title>An mRNA Vaccine against SARS-CoV-2 - Preliminary Report</article-title>. <source>N Engl J Med</source>. <year>2020</year>;<volume>383</volume>:<fpage>1920</fpage>&#x02013;<lpage>31</lpage>.<pub-id pub-id-type="pmid">32663912</pub-id>
</mixed-citation></ref><ref id="R12"><label>[12]</label><mixed-citation publication-type="journal"><name><surname>Baden</surname><given-names>LR</given-names></name>, <name><surname>El Sahly</surname><given-names>HM</given-names></name>, <name><surname>Essink</surname><given-names>B</given-names></name>, <name><surname>Kotloff</surname><given-names>K</given-names></name>, <name><surname>Frey</surname><given-names>S</given-names></name>, <name><surname>Novak</surname><given-names>R</given-names></name>, <etal/>
<article-title>Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine</article-title>. <source>N Engl J Med</source>. <year>2021</year>;<volume>384</volume>:<fpage>403</fpage>&#x02013;<lpage>16</lpage>.<pub-id pub-id-type="pmid">33378609</pub-id>
</mixed-citation></ref><ref id="R13"><label>[13]</label><mixed-citation publication-type="journal"><name><surname>Anderson</surname><given-names>EJ</given-names></name>, <name><surname>Rouphael</surname><given-names>NG</given-names></name>, <name><surname>Widge</surname><given-names>AT</given-names></name>, <name><surname>Jackson</surname><given-names>LA</given-names></name>, <name><surname>Roberts</surname><given-names>PC</given-names></name>, <name><surname>Makhene</surname><given-names>M</given-names></name>, <etal/>
<article-title>Safety and Immunogenicity of SARS-CoV-2 mRNA-1273 Vaccine in Older Adults</article-title>. <source>N Engl J Med</source>. <year>2020</year>;<volume>383</volume>:<fpage>2427</fpage>&#x02013;<lpage>38</lpage>.<pub-id pub-id-type="pmid">32991794</pub-id>
</mixed-citation></ref><ref id="R14"><label>[14]</label><mixed-citation publication-type="journal"><name><surname>Polack Fernando</surname><given-names>P</given-names></name>, <name><surname>Thomas Stephen</surname><given-names>J</given-names></name>, <name><surname>Kitchin</surname><given-names>N</given-names></name>, <name><surname>Absalon</surname><given-names>J</given-names></name>, <name><surname>Gurtman</surname><given-names>A</given-names></name>, <name><surname>Lockhart</surname><given-names>S</given-names></name>, <etal/>
<article-title>Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine</article-title>. <source>New England Journal of Medicine</source>. <year>2020</year>;<volume>383</volume>:<fpage>2603</fpage>&#x02013;<lpage>15</lpage>.<pub-id pub-id-type="pmid">33301246</pub-id>
</mixed-citation></ref><ref id="R15"><label>[15]</label><mixed-citation publication-type="journal"><name><surname>Tenforde</surname><given-names>MW</given-names></name>, <name><surname>Patel</surname><given-names>MM</given-names></name>, <name><surname>Ginde</surname><given-names>AA</given-names></name>, <name><surname>Douin</surname><given-names>DJ</given-names></name>, <name><surname>Talbot</surname><given-names>HK</given-names></name>, <name><surname>Casey</surname><given-names>JD</given-names></name>, <etal/>
<article-title>Effectiveness of SARS-CoV-2 mRNA Vaccines for Preventing Covid-19 Hospitalizations in the United States</article-title>. <source>Clin Infect Dis</source>. <year>2021</year>.</mixed-citation></ref><ref id="R16"><label>[16]</label><mixed-citation publication-type="journal"><name><surname>Tenforde</surname><given-names>MW</given-names></name>, <name><surname>Self</surname><given-names>WH</given-names></name>, <name><surname>Adams</surname><given-names>K</given-names></name>, <name><surname>Gaglani</surname><given-names>M</given-names></name>, <name><surname>Ginde</surname><given-names>AA</given-names></name>, <name><surname>McNeal</surname><given-names>T</given-names></name>, <etal/>
<article-title>Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity</article-title>. <source>JAMA</source>. <year>2021</year>;<volume>326</volume>:<fpage>2043</fpage>&#x02013;<lpage>54</lpage>.<pub-id pub-id-type="pmid">34734975</pub-id>
</mixed-citation></ref><ref id="R17"><label>[17]</label><mixed-citation publication-type="journal"><name><surname>Thompson</surname><given-names>MG</given-names></name>, <name><surname>Stenehjem</surname><given-names>E</given-names></name>, <name><surname>Grannis</surname><given-names>S</given-names></name>, <name><surname>Ball</surname><given-names>SW</given-names></name>, <name><surname>Naleway</surname><given-names>AL</given-names></name>, <name><surname>Ong</surname><given-names>TC</given-names></name>, <etal/>
<article-title>Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings</article-title>. <source>N Engl J Med</source>. <year>2021</year>;<volume>385</volume>:<fpage>1355</fpage>&#x02013;<lpage>71</lpage>.<pub-id pub-id-type="pmid">34496194</pub-id>
</mixed-citation></ref><ref id="R18"><label>[18]</label><mixed-citation publication-type="journal"><name><surname>Heath</surname><given-names>PT</given-names></name>, <name><surname>Galiza</surname><given-names>EP</given-names></name>, <name><surname>Baxter</surname><given-names>DN</given-names></name>, <name><surname>Boffito</surname><given-names>M</given-names></name>, <name><surname>Browne</surname><given-names>D</given-names></name>, <name><surname>Burns</surname><given-names>F</given-names></name>, <etal/>
<article-title>Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine</article-title>. <source>N Engl J Med</source>. <year>2021</year>;<volume>385</volume>:<fpage>1172</fpage>&#x02013;<lpage>83</lpage>.<pub-id pub-id-type="pmid">34192426</pub-id>
</mixed-citation></ref><ref id="R19"><label>[19]</label><mixed-citation publication-type="journal"><name><surname>Moreira</surname><given-names>ED</given-names><suffix>Jr.</suffix></name>, <name><surname>Kitchin</surname><given-names>N</given-names></name>, <name><surname>Xu</surname><given-names>X</given-names></name>, <name><surname>Dychter</surname><given-names>SS</given-names></name>, <name><surname>Lockhart</surname><given-names>S</given-names></name>, <name><surname>Gurtman</surname><given-names>A</given-names></name>, <etal/>
<article-title>Safety and Efficacy of a Third Dose of BNT162b2 Covid-19 Vaccine</article-title>. <source>N Engl J Med</source>. <year>2022</year>;<volume>386</volume>:<fpage>1910</fpage>&#x02013;<lpage>21</lpage>.<pub-id pub-id-type="pmid">35320659</pub-id>
</mixed-citation></ref><ref id="R20"><label>[20]</label><mixed-citation publication-type="journal"><name><surname>Link-Gelles</surname><given-names>R</given-names></name>, <name><surname>Ciesla</surname><given-names>AA</given-names></name>, <name><surname>Fleming-Dutra</surname><given-names>KE</given-names></name>, <name><surname>Smith</surname><given-names>ZR</given-names></name>, <name><surname>Britton</surname><given-names>A</given-names></name>, <name><surname>Wiegand</surname><given-names>RE</given-names></name>, <etal/>
<article-title>Effectiveness of Bivalent mRNA Vaccines in Preventing Symptomatic SARS-CoV-2 Infection - Increasing Community Access to Testing Program, United States, September-November 2022</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2022</year>;<volume>71</volume>:<fpage>1526</fpage>&#x02013;<lpage>30</lpage>.<pub-id pub-id-type="pmid">36454688</pub-id>
</mixed-citation></ref><ref id="R21"><label>[21]</label><mixed-citation publication-type="other"><collab>CDC</collab>. <source>COVID-19 Vaccinations in the United States</source>. <year>2023</year>.</mixed-citation></ref><ref id="R22"><label>[22]</label><mixed-citation publication-type="journal"><name><surname>Canetti</surname><given-names>M</given-names></name>, <name><surname>Barda</surname><given-names>N</given-names></name>, <name><surname>Gilboa</surname><given-names>M</given-names></name>, <name><surname>Indenbaum</surname><given-names>V</given-names></name>, <name><surname>Asraf</surname><given-names>K</given-names></name>, <name><surname>Gonen</surname><given-names>T</given-names></name>, <etal/>
<article-title>Six-Month Follow-up after a Fourth BNT162b2 Vaccine Dose</article-title>. <source>N Engl J Med</source>. <year>2022</year>;<volume>387</volume>:<fpage>2092</fpage>&#x02013;<lpage>4</lpage>.<pub-id pub-id-type="pmid">36351266</pub-id>
</mixed-citation></ref><ref id="R23"><label>[23]</label><mixed-citation publication-type="journal"><name><surname>Singh</surname><given-names>P</given-names></name>, <name><surname>Dhalaria</surname><given-names>P</given-names></name>, <name><surname>Kashyap</surname><given-names>S</given-names></name>, <name><surname>Soni</surname><given-names>GK</given-names></name>, <name><surname>Nandi</surname><given-names>P</given-names></name>, <name><surname>Ghosh</surname><given-names>S</given-names></name>, <etal/>
<article-title>Strategies to overcome vaccine hesitancy: a systematic review</article-title>. <source>Systematic Reviews</source>. <year>2022</year>;<volume>11</volume>:<fpage>78</fpage>.<pub-id pub-id-type="pmid">35473819</pub-id>
</mixed-citation></ref><ref id="R24"><label>[24]</label><mixed-citation publication-type="journal"><name><surname>Ofstead</surname><given-names>CL</given-names></name>, <name><surname>Sherman</surname><given-names>BW</given-names></name>, <name><surname>Wetzler</surname><given-names>HP</given-names></name>, <name><surname>Dirlam Langlay</surname><given-names>AM</given-names></name>, <name><surname>Mueller</surname><given-names>NJ</given-names></name>, <name><surname>Ward</surname><given-names>JM</given-names></name>, <etal/>
<article-title>Effectiveness of worksite interventions to increase influenza vaccination rates among employees and families</article-title>. <source>J Occup Environ Med</source>. <year>2013</year>;<volume>55</volume>:<fpage>156</fpage>&#x02013;<lpage>63</lpage>.<pub-id pub-id-type="pmid">23047659</pub-id>
</mixed-citation></ref><ref id="R25"><label>[25]</label><mixed-citation publication-type="journal"><name><surname>Mouzoon</surname><given-names>ME</given-names></name>, <name><surname>Munoz</surname><given-names>FM</given-names></name>, <name><surname>Greisinger</surname><given-names>AJ</given-names></name>, <name><surname>Brehm</surname><given-names>BJ</given-names></name>, <name><surname>Wehmanen</surname><given-names>OA</given-names></name>, <name><surname>Smith</surname><given-names>FA</given-names></name>, <etal/>
<article-title>Improving influenza immunization in pregnant women and healthcare workers</article-title>. <source>Am J Manag Care</source>. <year>2010</year>;<volume>16</volume>:<fpage>209</fpage>&#x02013;<lpage>16</lpage>.<pub-id pub-id-type="pmid">20225916</pub-id>
</mixed-citation></ref><ref id="R26"><label>[26]</label><mixed-citation publication-type="journal"><name><surname>Nowak</surname><given-names>GJ</given-names></name>, <name><surname>Evans</surname><given-names>NJ</given-names></name>, <name><surname>Wojdynski</surname><given-names>BW</given-names></name>, <name><surname>Ahn</surname><given-names>SJG</given-names></name>, <name><surname>Len-Rios</surname><given-names>ME</given-names></name>, <name><surname>Carera</surname><given-names>K</given-names></name>, <etal/>
<article-title>Using immersive virtual reality to improve the beliefs and intentions of influenza vaccine avoidant 18-to-49-year-olds: Considerations, effects, and lessons learned</article-title>. <source>Vaccine</source>. <year>2020</year>;<volume>38</volume>:<fpage>1225</fpage>&#x02013;<lpage>33</lpage>.<pub-id pub-id-type="pmid">31806533</pub-id>
</mixed-citation></ref><ref id="R27"><label>[27]</label><mixed-citation publication-type="journal"><name><surname>Dudley</surname><given-names>MZ</given-names></name>, <name><surname>Omer</surname><given-names>SB</given-names></name>, <name><surname>O&#x02019;Leary</surname><given-names>ST</given-names></name>, <name><surname>Limaye</surname><given-names>RJ</given-names></name>, <name><surname>Ellingson</surname><given-names>MK</given-names></name>, <name><surname>Spina</surname><given-names>CI</given-names></name>, <etal/>
<article-title>MomsTalkShots, tailored educational app, improves vaccine attitudes: a randomized controlled trial</article-title>. <source>BMC Public Health</source>. <year>2022</year>;<volume>22</volume>:<fpage>2134</fpage>.<pub-id pub-id-type="pmid">36411403</pub-id>
</mixed-citation></ref><ref id="R28"><label>[28]</label><mixed-citation publication-type="journal"><name><surname>Real</surname><given-names>FJ</given-names></name>, <name><surname>DeBlasio</surname><given-names>D</given-names></name>, <name><surname>Beck</surname><given-names>AF</given-names></name>, <name><surname>Ollberding</surname><given-names>NJ</given-names></name>, <name><surname>Davis</surname><given-names>D</given-names></name>, <name><surname>Cruse</surname><given-names>B</given-names></name>, <etal/>
<article-title>A Virtual Reality Curriculum for Pediatric Residents Decreases Rates of Influenza Vaccine Refusal</article-title>. <source>Acad Pediatr</source>. <year>2017</year>;<volume>17</volume>:<fpage>431</fpage>&#x02013;<lpage>5</lpage>.<pub-id pub-id-type="pmid">28126612</pub-id>
</mixed-citation></ref><ref id="R29"><label>[29]</label><mixed-citation publication-type="journal"><name><surname>Maltezou</surname><given-names>HC</given-names></name>, <name><surname>Maragos</surname><given-names>A</given-names></name>, <name><surname>Raftopoulos</surname><given-names>V</given-names></name>, <name><surname>Karageorgou</surname><given-names>K</given-names></name>, <name><surname>Halharapi</surname><given-names>T</given-names></name>, <name><surname>Remoudaki</surname><given-names>H</given-names></name>, <etal/>
<article-title>Strategies to increase influenza vaccine uptake among health care workers in Greece</article-title>. <source>Scand J Infect Dis</source>. <year>2008</year>;<volume>40</volume>:<fpage>266</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="pmid">17907042</pub-id>
</mixed-citation></ref><ref id="R30"><label>[30]</label><mixed-citation publication-type="journal"><name><surname>Grijalva</surname><given-names>CG</given-names></name>, <name><surname>Feldstein</surname><given-names>LR</given-names></name>, <name><surname>Talbot</surname><given-names>HK</given-names></name>, <name><surname>Aboodi</surname><given-names>M</given-names></name>, <name><surname>Baughman</surname><given-names>AH</given-names></name>, <name><surname>Brown</surname><given-names>SM</given-names></name>, <etal/>
<article-title>Influenza Vaccine Effectiveness for Prevention of Severe Influenza-Associated Illness Among Adults in the United States, 2019&#x02013;2020: A Test-Negative Study</article-title>. <source>Clin Infect Dis</source>. <year>2021</year>;<volume>73</volume>:<fpage>1459</fpage>&#x02013;<lpage>68</lpage>.<pub-id pub-id-type="pmid">34014274</pub-id>
</mixed-citation></ref><ref id="R31"><label>[31]</label><mixed-citation publication-type="journal"><name><surname>Lauring</surname><given-names>AS</given-names></name>, <name><surname>Tenforde</surname><given-names>MW</given-names></name>, <name><surname>Chappell</surname><given-names>JD</given-names></name>, <name><surname>Gaglani</surname><given-names>M</given-names></name>, <name><surname>Ginde</surname><given-names>AA</given-names></name>, <name><surname>McNeal</surname><given-names>T</given-names></name>, <etal/>
<article-title>Clinical severity of, and effectiveness of mRNA vaccines against, covid-19 from omicron, delta, and alpha SARS-CoV-2 variants in the United States: prospective observational study</article-title>. <source>Bmj</source>. <year>2022</year>;<volume>376</volume>:<fpage>e069761</fpage>.<pub-id pub-id-type="pmid">35264324</pub-id>
</mixed-citation></ref><ref id="R32"><label>[32]</label><mixed-citation publication-type="journal"><name><surname>Adams</surname><given-names>K</given-names></name>, <name><surname>Rhoads</surname><given-names>JP</given-names></name>, <name><surname>Surie</surname><given-names>D</given-names></name>, <name><surname>Gaglani</surname><given-names>M</given-names></name>, <name><surname>Ginde</surname><given-names>AA</given-names></name>, <name><surname>McNeal</surname><given-names>T</given-names></name>, <etal/>
<article-title>Vaccine effectiveness of primary series and booster doses against covid-19 associated hospital admissions in the United States: living test negative design study</article-title>. <source>Bmj</source>. <year>2022</year>;<volume>379</volume>:<fpage>e072065</fpage>.<pub-id pub-id-type="pmid">36220174</pub-id>
</mixed-citation></ref><ref id="R33"><label>[33]</label><mixed-citation publication-type="journal"><name><surname>Lytle</surname><given-names>KL</given-names></name>, <name><surname>Collins</surname><given-names>SP</given-names></name>, <name><surname>Feldstein</surname><given-names>LR</given-names></name>, <name><surname>Baughman</surname><given-names>AH</given-names></name>, <name><surname>Brown</surname><given-names>SM</given-names></name>, <name><surname>Casey</surname><given-names>JD</given-names></name>, <etal/>
<article-title>Influenza vaccine acceptance and hesitancy among adults hospitalized with severe acute respiratory illnesses, United States 2019&#x02013;2020</article-title>. <source>Vaccine</source>. <year>2021</year>;<volume>39</volume>:<fpage>5271</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">34376307</pub-id>
</mixed-citation></ref><ref id="R34"><label>[34]</label><mixed-citation publication-type="journal"><name><surname>Stephenson</surname><given-names>M</given-names></name>, <name><surname>Olson</surname><given-names>SM</given-names></name>, <name><surname>Self</surname><given-names>WH</given-names></name>, <name><surname>Ginde</surname><given-names>AA</given-names></name>, <name><surname>Mohr</surname><given-names>NM</given-names></name>, <name><surname>Gaglani</surname><given-names>M</given-names></name>, <etal/>
<article-title>Ascertainment of vaccination status by self-report versus source documentation: Impact on measuring COVID-19 vaccine effectiveness</article-title>. <source>Influenza Other Respir Viruses</source>. <year>2022</year>;<volume>16</volume>:<fpage>1101</fpage>&#x02013;<lpage>11</lpage>.<pub-id pub-id-type="pmid">35818721</pub-id>
</mixed-citation></ref><ref id="R35"><label>[35]</label><mixed-citation publication-type="journal"><name><surname>Flanagan</surname><given-names>BE</given-names></name>, <name><surname>Hallisey</surname><given-names>EJ</given-names></name>, <name><surname>Adams</surname><given-names>E</given-names></name>, <name><surname>Lavery</surname><given-names>A</given-names></name>. <article-title>Measuring Community Vulnerability to Natural and Anthropogenic Hazards: The Centers for Disease Control and Prevention&#x02019;s Social Vulnerability Index</article-title>. <source>J Environ Health</source>. <year>2018</year>;<volume>80</volume>:<fpage>34</fpage>&#x02013;<lpage>6</lpage>.</mixed-citation></ref><ref id="R36"><label>[36]</label><mixed-citation publication-type="journal"><name><surname>Borga</surname><given-names>LG</given-names></name>, <name><surname>Clark</surname><given-names>AE</given-names></name>, <name><surname>D&#x02019;Ambrosio</surname><given-names>C</given-names></name>, <name><surname>Lepinteur</surname><given-names>A</given-names></name>. <article-title>Characteristics associated with COVID-19 vaccine hesitancy</article-title>. <source>Sci Rep</source>. <year>2022</year>;<volume>12</volume>:<fpage>12435</fpage>.<pub-id pub-id-type="pmid">35859048</pub-id>
</mixed-citation></ref><ref id="R37"><label>[37]</label><mixed-citation publication-type="journal"><name><surname>Wood</surname><given-names>S</given-names></name>, <name><surname>Schulman</surname><given-names>K</given-names></name>. <article-title>When Vaccine Apathy, Not Hesitancy, Drives Vaccine Disinterest</article-title>. <source>JAMA</source>. <year>2021</year>;<volume>325</volume>:<fpage>2435</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">34076690</pub-id>
</mixed-citation></ref><ref id="R38"><label>[38]</label><mixed-citation publication-type="journal"><name><surname>Sinclair</surname><given-names>AH</given-names></name>, <name><surname>Taylor</surname><given-names>MK</given-names></name>, <name><surname>Weitz</surname><given-names>JS</given-names></name>, <name><surname>Beckett</surname><given-names>SJ</given-names></name>, <name><surname>Samanez-Larkin</surname><given-names>GR</given-names></name>. <article-title>Reasons for Receiving or Not Receiving Bivalent COVID-19 Booster Vaccinations Among Adults - United States, November 1-December 10, 2022</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2023</year>;<volume>72</volume>:<fpage>73</fpage>&#x02013;<lpage>5</lpage>.<pub-id pub-id-type="pmid">36656784</pub-id>
</mixed-citation></ref><ref id="R39"><label>[39]</label><mixed-citation publication-type="journal"><name><surname>Newcombe</surname><given-names>RG</given-names></name>. <article-title>Logit Confidence Intervals and the Inverse Sinh Transformation</article-title>. <source>The American Statistician</source>. <year>2001</year>;<volume>55</volume>:<fpage>200</fpage>&#x02013;<lpage>2</lpage>.</mixed-citation></ref><ref id="R40"><label>[40]</label><mixed-citation publication-type="journal"><name><surname>Tenforde</surname><given-names>MW</given-names></name>, <name><surname>Weber</surname><given-names>ZA</given-names></name>, <name><surname>Natarajan</surname><given-names>K</given-names></name>, <name><surname>Klein</surname><given-names>NP</given-names></name>, <name><surname>Kharbanda</surname><given-names>AB</given-names></name>, <name><surname>Stenehjem</surname><given-names>E</given-names></name>, <etal/>
<article-title>Early Estimates of Bivalent mRNA Vaccine Effectiveness in Preventing COVID-19-Associated Emergency Department or Urgent Care Encounters and Hospitalizations Among Immunocompetent Adults - VISION Network, Nine States, September-November 2022</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2022</year>;<volume>71</volume>:<fpage>1616</fpage>&#x02013;<lpage>24</lpage>.<pub-id pub-id-type="pmid">36580430</pub-id>
</mixed-citation></ref><ref id="R41"><label>[41]</label><mixed-citation publication-type="journal"><name><surname>Skowronski</surname><given-names>DM</given-names></name>, <name><surname>Zhan</surname><given-names>Y</given-names></name>, <name><surname>Kaweski</surname><given-names>SE</given-names></name>, <name><surname>Sabaiduc</surname><given-names>S</given-names></name>, <name><surname>Khalid</surname><given-names>A</given-names></name>, <name><surname>Olsha</surname><given-names>R</given-names></name>, <etal/>
<article-title>2023/24 mid-season influenza and Omicron XBB.1.5 vaccine effectiveness estimates from the Canadian Sentinel Practitioner Surveillance Network (SPSN)</article-title>. <source>Euro Surveill</source>. <year>2024</year>;<fpage>29</fpage>.</mixed-citation></ref><ref id="R42"><label>[42]</label><mixed-citation publication-type="other"><collab>CDC</collab>. <source>United States COVID-19 Cases, Deaths, and Laboratory Testing (NAATs) by State, Territory, and Jurisdiction</source>. <year>2023</year>.</mixed-citation></ref><ref id="R43"><label>[43]</label><mixed-citation publication-type="journal"><name><surname>Garza</surname><given-names>N</given-names></name>, <name><surname>Leibensperger</surname><given-names>M</given-names></name>, <name><surname>Bonnevie</surname><given-names>E</given-names></name>. <article-title>The Association Between Receiving the Flu and COVID-19 Vaccines and Related Factors, Data from the StopFlu Campaign in Eight States and the District of Columbia, 2022</article-title>. <source>J Community Health</source>. <year>2023</year>;<volume>48</volume>:<fpage>731</fpage>&#x02013;<lpage>9</lpage>.<pub-id pub-id-type="pmid">37002473</pub-id>
</mixed-citation></ref><ref id="R44"><label>[44]</label><mixed-citation publication-type="journal"><name><surname>Akel</surname><given-names>KB</given-names></name>, <name><surname>Masters</surname><given-names>NB</given-names></name>, <name><surname>Shih</surname><given-names>SF</given-names></name>, <name><surname>Lu</surname><given-names>Y</given-names></name>, <name><surname>Wagner</surname><given-names>AL</given-names></name>. <article-title>Modification of a vaccine hesitancy scale for use in adult vaccinations in the United States and China</article-title>. <source>Hum Vaccin Immunother</source>. <year>2021</year>;<volume>17</volume>:<fpage>2639</fpage>&#x02013;<lpage>46</lpage>.<pub-id pub-id-type="pmid">33769209</pub-id>
</mixed-citation></ref><ref id="R45"><label>[45]</label><mixed-citation publication-type="journal"><name><surname>Tuckerman</surname><given-names>J</given-names></name>, <name><surname>Kaufman</surname><given-names>J</given-names></name>, <name><surname>Danchin</surname><given-names>M</given-names></name>. <article-title>Effective Approaches to Combat Vaccine Hesitancy</article-title>. <source>Pediatr Infect Dis J</source>. <year>2022</year>;<volume>41</volume>:<fpage>e243</fpage>&#x02013;<lpage>e5</lpage>.<pub-id pub-id-type="pmid">35213864</pub-id>
</mixed-citation></ref><ref id="R46"><label>[46]</label><mixed-citation publication-type="journal"><name><surname>Kelly</surname><given-names>BJ</given-names></name>, <name><surname>Southwell</surname><given-names>BG</given-names></name>, <name><surname>McCormack</surname><given-names>LA</given-names></name>, <name><surname>Bann</surname><given-names>CM</given-names></name>, <name><surname>MacDonald</surname><given-names>PDM</given-names></name>, <name><surname>Frasier</surname><given-names>AM</given-names></name>, <etal/>
<article-title>Predictors of willingness to get a COVID-19 vaccine in the U.S</article-title>. <source>BMC Infect Dis</source>. <year>2021</year>;<volume>21</volume>:<fpage>338</fpage>.<pub-id pub-id-type="pmid">33845781</pub-id>
</mixed-citation></ref><ref id="R47"><label>[47]</label><mixed-citation publication-type="journal"><name><surname>Khubchandani</surname><given-names>J</given-names></name>, <name><surname>Sharma</surname><given-names>S</given-names></name>, <name><surname>Price</surname><given-names>JH</given-names></name>, <name><surname>Wiblishauser</surname><given-names>MJ</given-names></name>, <name><surname>Sharma</surname><given-names>M</given-names></name>, <name><surname>Webb</surname><given-names>FJ</given-names></name>. <article-title>COVID-19 Vaccination Hesitancy in the United States: A Rapid National Assessment</article-title>. <source>J Community Health</source>. <year>2021</year>;<volume>46</volume>:<fpage>270</fpage>&#x02013;<lpage>7</lpage>.<pub-id pub-id-type="pmid">33389421</pub-id>
</mixed-citation></ref><ref id="R48"><label>[48]</label><mixed-citation publication-type="journal"><name><surname>Jacobi</surname><given-names>CJ</given-names></name>, <name><surname>Vaidyanathan</surname><given-names>B</given-names></name>. <article-title>Racial differences in anticipated COVID-19 vaccine acceptance among religious populations in the US</article-title>. <source>Vaccine</source>. <year>2021</year>;<volume>39</volume>:<fpage>6351</fpage>&#x02013;<lpage>5</lpage>.<pub-id pub-id-type="pmid">34544600</pub-id>
</mixed-citation></ref><ref id="R49"><label>[49]</label><mixed-citation publication-type="journal"><name><surname>Fridman</surname><given-names>A</given-names></name>, <name><surname>Gershon</surname><given-names>R</given-names></name>, <name><surname>Gneezy</surname><given-names>A</given-names></name>. <article-title>COVID-19 and vaccine hesitancy: A longitudinal study</article-title>. <source>PLoS One</source>. <year>2021</year>;<volume>16</volume>:<fpage>e0250123</fpage>.<pub-id pub-id-type="pmid">33861765</pub-id>
</mixed-citation></ref><ref id="R50"><label>[50]</label><mixed-citation publication-type="journal"><name><surname>Luo</surname><given-names>H</given-names></name>, <name><surname>Qu</surname><given-names>H</given-names></name>, <name><surname>Basu</surname><given-names>R</given-names></name>, <name><surname>Rafferty</surname><given-names>AP</given-names></name>, <name><surname>Patil</surname><given-names>SP</given-names></name>, <name><surname>Cummings</surname><given-names>DM</given-names></name>. <article-title>Willingness to Get a COVID-19 Vaccine and Reasons for Hesitancy Among Medicare Beneficiaries: Results From a National Survey</article-title>. <source>J Public Health Manag Pract</source>. <year>2022</year>;<volume>28</volume>:<fpage>70</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">34081668</pub-id>
</mixed-citation></ref><ref id="R51"><label>[51]</label><mixed-citation publication-type="journal"><name><surname>Bagasra</surname><given-names>AB</given-names></name>, <name><surname>Doan</surname><given-names>S</given-names></name>, <name><surname>Allen</surname><given-names>CT</given-names></name>. <article-title>Racial differences in institutional trust and COVID-19 vaccine hesitancy and refusal</article-title>. <source>BMC Public Health</source>. <year>2021</year>;<volume>21</volume>:<fpage>2104</fpage>.<pub-id pub-id-type="pmid">34789205</pub-id>
</mixed-citation></ref><ref id="R52"><label>[52]</label><mixed-citation publication-type="journal"><name><surname>Fern&#x000e1;ndez-Penny</surname><given-names>FE</given-names></name>, <name><surname>Jolkovsky</surname><given-names>EL</given-names></name>, <name><surname>Shofer</surname><given-names>FS</given-names></name>, <name><surname>Hemmert</surname><given-names>KC</given-names></name>, <name><surname>Valiuddin</surname><given-names>H</given-names></name>, <name><surname>Uspal</surname><given-names>JE</given-names></name>, <etal/>
<article-title>COVID-19 vaccine hesitancy among patients in two urban emergency departments</article-title>. <source>Acad Emerg Med</source>. <year>2021</year>;<volume>28</volume>:<fpage>1100</fpage>&#x02013;<lpage>7</lpage>.<pub-id pub-id-type="pmid">34403539</pub-id>
</mixed-citation></ref><ref id="R53"><label>[53]</label><mixed-citation publication-type="journal"><name><surname>Fisher</surname><given-names>KA</given-names></name>, <name><surname>Bloomstone</surname><given-names>SJ</given-names></name>, <name><surname>Walder</surname><given-names>J</given-names></name>, <name><surname>Crawford</surname><given-names>S</given-names></name>, <name><surname>Fouayzi</surname><given-names>H</given-names></name>, <name><surname>Mazor</surname><given-names>KM</given-names></name>. <article-title>Attitudes Toward a Potential SARS-CoV-2 Vaccine : A Survey of U.S. Adults</article-title>. <source>Ann Intern Med</source>. <year>2020</year>;<volume>173</volume>:<fpage>964</fpage>&#x02013;<lpage>73</lpage>.<pub-id pub-id-type="pmid">32886525</pub-id>
</mixed-citation></ref><ref id="R54"><label>[54]</label><mixed-citation publication-type="journal"><name><surname>Benham</surname><given-names>JL</given-names></name>, <name><surname>Atabati</surname><given-names>O</given-names></name>, <name><surname>Oxoby</surname><given-names>RJ</given-names></name>, <name><surname>Mourali</surname><given-names>M</given-names></name>, <name><surname>Shaffer</surname><given-names>B</given-names></name>, <name><surname>Sheikh</surname><given-names>H</given-names></name>, <etal/>
<article-title>COVID-19 Vaccine-Related Attitudes and Beliefs in Canada: National Cross-sectional Survey and Cluster Analysis</article-title>. <source>JMIR Public Health Surveill</source>. <year>2021</year>;<volume>7</volume>:<fpage>e30424</fpage>.<pub-id pub-id-type="pmid">34779784</pub-id>
</mixed-citation></ref><ref id="R55"><label>[55]</label><mixed-citation publication-type="journal"><name><surname>Coughenour</surname><given-names>C</given-names></name>, <name><surname>Gakh</surname><given-names>M</given-names></name>, <name><surname>Sharma</surname><given-names>M</given-names></name>, <name><surname>Labus</surname><given-names>B</given-names></name>, <name><surname>Chien</surname><given-names>LC</given-names></name>. <article-title>Assessing Determinants of COVID-19 Vaccine Hesitancy in Nevada</article-title>. <source>Health Secur</source>. <year>2021</year>;<volume>19</volume>:<fpage>592</fpage>&#x02013;<lpage>604</lpage>.<pub-id pub-id-type="pmid">34882034</pub-id>
</mixed-citation></ref><ref id="R56"><label>[56]</label><mixed-citation publication-type="journal"><name><surname>Lytle</surname><given-names>KL</given-names></name>, <name><surname>Collins</surname><given-names>SP</given-names></name>, <name><surname>Feldstein</surname><given-names>LR</given-names></name>, <name><surname>Baughman</surname><given-names>AH</given-names></name>, <name><surname>Brown</surname><given-names>SM</given-names></name>, <name><surname>Casey</surname><given-names>JD</given-names></name>, <etal/>
<article-title>Influenza vaccine acceptance and hesitancy among adults hospitalized with severe acute respiratory illnesses, United States 2019&#x02013;2020</article-title>. <source>Vaccine</source>. <year>2021</year>;<volume>39</volume>:<fpage>5271</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">34376307</pub-id>
</mixed-citation></ref><ref id="R57"><label>[57]</label><mixed-citation publication-type="journal"><name><surname>Siegler</surname><given-names>AJ</given-names></name>, <name><surname>Luisi</surname><given-names>N</given-names></name>, <name><surname>Hall</surname><given-names>EW</given-names></name>, <name><surname>Bradley</surname><given-names>H</given-names></name>, <name><surname>Sanchez</surname><given-names>T</given-names></name>, <name><surname>Lopman</surname><given-names>BA</given-names></name>, <etal/>
<article-title>Trajectory of COVID-19 Vaccine Hesitancy Over Time and Association of Initial Vaccine Hesitancy With Subsequent Vaccination</article-title>. <source>JAMA Netw Open</source>. <year>2021</year>;<volume>4</volume>:<fpage>e2126882</fpage>.<pub-id pub-id-type="pmid">34559232</pub-id>
</mixed-citation></ref><ref id="R58"><label>[58]</label><mixed-citation publication-type="journal"><name><surname>Regan</surname><given-names>AK</given-names></name>, <name><surname>Wesley</surname><given-names>MG</given-names></name>, <name><surname>Gaglani</surname><given-names>M</given-names></name>, <name><surname>Kim</surname><given-names>SS</given-names></name>, <name><surname>Edwards</surname><given-names>LJ</given-names></name>, <name><surname>Murthy</surname><given-names>K</given-names></name>, <etal/>
<article-title>Consistency of self-reported and documented historical influenza vaccination status of US healthcare workers</article-title>. <source>Influenza Other Respir Viruses</source>. <year>2022</year>.</mixed-citation></ref><ref id="R59"><label>[59]</label><mixed-citation publication-type="journal"><name><surname>Perinelli</surname><given-names>E</given-names></name>, <name><surname>Gremigni</surname><given-names>P</given-names></name>. <article-title>Use of Social Desirability Scales in Clinical Psychology: A Systematic Review</article-title>. <source>J Clin Psychol</source>. <year>2016</year>;<volume>72</volume>:<fpage>534</fpage>&#x02013;<lpage>51</lpage>.<pub-id pub-id-type="pmid">26970350</pub-id>
</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P51">Association of patient characteristics with being unvaccinated for (a) COVID-19 (patients enrolled January 1, 2021, to January 25, 2022) and (b) influenza (patients enrolled October 10, 2019, to December 31, 2020).</p></caption><graphic xlink:href="nihms-2091037-f0001" position="float"/><graphic xlink:href="nihms-2091037-f0002" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><p id="P52">The proportion of patients unvaccinated for COVID-19 who did not desire to be vaccinated by calendar time (quarter) over the first 13 months of COVID-19 availability in the United States. Over time, the proportion of unvaccinated patients who made a personal choice to actively avoid vaccination increased (p&#x0003c;0.001, trend test) as compared to those who were not able to get vaccinated due to logistic limitations.</p></caption><graphic xlink:href="nihms-2091037-f0003" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P53">Characteristic of patients in the COVID-19 vaccine assessment period (January 1, 2021, to January 25, 2022) and the influenza vaccine assessment period (October 10, 2019, to December 31, 2020) by vaccination status.</p></caption><table frame="box" rules="all"><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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" colspan="2" rowspan="1"/><th align="left" valign="top" colspan="2" rowspan="1">COVID-19 Vaccine Assessment Period (January 1, 2021 &#x02013; January 25, 2022)</th><th align="left" valign="top" colspan="2" rowspan="1">Influenza Vaccine Assessment Period (October 10, 2019 &#x02013; December 31, 2020)</th></tr><tr><th align="left" valign="top" colspan="2" rowspan="1">
</th><th align="left" valign="top" rowspan="1" colspan="1">Unvaccinated for COVID-19 (n=5485)</th><th align="left" valign="top" rowspan="1" colspan="1">Vaccinated for COVID-19 (n=6807)</th><th align="left" valign="top" rowspan="1" colspan="1">Unvaccinated for influenza (n=381)</th><th align="left" valign="top" rowspan="1" colspan="1">Vaccinated for influenza (n=602)</th></tr></thead><tbody><tr><td align="left" valign="top" colspan="2" rowspan="1">Age, median (IQR) [years]</td><td align="left" valign="top" rowspan="1" colspan="1">54 (41, 65)</td><td align="left" valign="top" rowspan="1" colspan="1">65 (54, 74)</td><td align="left" valign="top" rowspan="1" colspan="1">53 (37, 63)</td><td align="left" valign="top" rowspan="1" colspan="1">62 (51, 72)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Age Group, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">18&#x02013;49 years</td><td align="left" valign="top" rowspan="1" colspan="1">40% (2203</td><td align="left" valign="top" rowspan="1" colspan="1">18% (1250)</td><td align="left" valign="top" rowspan="1" colspan="1">45% (170)</td><td align="left" valign="top" rowspan="1" colspan="1">24% (142)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">50&#x02013;64</td><td align="left" valign="top" rowspan="1" colspan="1">33% (1825)</td><td align="left" valign="top" rowspan="1" colspan="1">31% (2103)</td><td align="left" valign="top" rowspan="1" colspan="1">33% (124)</td><td align="left" valign="top" rowspan="1" colspan="1">31% (184)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">65&#x02013;75</td><td align="left" valign="top" rowspan="1" colspan="1">17% (906)</td><td align="left" valign="top" rowspan="1" colspan="1">27% (1860)</td><td align="left" valign="top" rowspan="1" colspan="1">16% (61)</td><td align="left" valign="top" rowspan="1" colspan="1">28% (166)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;75</td><td align="left" valign="top" rowspan="1" colspan="1">10% (551)</td><td align="left" valign="top" rowspan="1" colspan="1">23% (1592)</td><td align="left" valign="top" rowspan="1" colspan="1">7% (26)</td><td align="left" valign="top" rowspan="1" colspan="1">18% (110)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Sex, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">48% (2631)</td><td align="left" valign="top" rowspan="1" colspan="1">49% (3308)</td><td align="left" valign="top" rowspan="1" colspan="1">46% (175)</td><td align="left" valign="top" rowspan="1" colspan="1">50% (301)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">52% (2852)</td><td align="left" valign="top" rowspan="1" colspan="1">51% (3496)</td><td align="left" valign="top" rowspan="1" colspan="1">54% (206)</td><td align="left" valign="top" rowspan="1" colspan="1">50% (300)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Race &#x00026; ethnicity, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">White, Non-Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">52% (2856)</td><td align="left" valign="top" rowspan="1" colspan="1">61% (4119)</td><td align="left" valign="top" rowspan="1" colspan="1">57% (219)</td><td align="left" valign="top" rowspan="1" colspan="1">65% (394)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Black, Non-Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">23% (1236)</td><td align="left" valign="top" rowspan="1" colspan="1">19% (1313)</td><td align="left" valign="top" rowspan="1" colspan="1">24% (93)</td><td align="left" valign="top" rowspan="1" colspan="1">21% (126)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">19% (1038)</td><td align="left" valign="top" rowspan="1" colspan="1">15% (995)</td><td align="left" valign="top" rowspan="1" colspan="1">11% (41)</td><td align="left" valign="top" rowspan="1" colspan="1">10% (59)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Other race, Non-Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">5% (258)</td><td align="left" valign="top" rowspan="1" colspan="1">4% (299)</td><td align="left" valign="top" rowspan="1" colspan="1">3% (12)</td><td align="left" valign="top" rowspan="1" colspan="1">2% (10)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">2% (97)</td><td align="left" valign="top" rowspan="1" colspan="1">1% (81)</td><td align="left" valign="top" rowspan="1" colspan="1">4% (16)</td><td align="left" valign="top" rowspan="1" colspan="1">2% (13)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Medical insurance type, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Medicare</td><td align="left" valign="top" rowspan="1" colspan="1">30% (1641)</td><td align="left" valign="top" rowspan="1" colspan="1">49% (3345)</td><td align="left" valign="top" rowspan="1" colspan="1">25% (94)</td><td align="left" valign="top" rowspan="1" colspan="1">48% (291)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Medicaid</td><td align="left" valign="top" rowspan="1" colspan="1">18% (992)</td><td align="left" valign="top" rowspan="1" colspan="1">11% (755)</td><td align="left" valign="top" rowspan="1" colspan="1">23% (86)</td><td align="left" valign="top" rowspan="1" colspan="1">13% (81)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Private</td><td align="left" valign="top" rowspan="1" colspan="1">34% (1855)</td><td align="left" valign="top" rowspan="1" colspan="1">31% (2100)</td><td align="left" valign="top" rowspan="1" colspan="1">30% (113)</td><td align="left" valign="top" rowspan="1" colspan="1">28% (171)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">No medical insurance</td><td align="left" valign="top" rowspan="1" colspan="1">10% (559)</td><td align="left" valign="top" rowspan="1" colspan="1">3% (182)</td><td align="left" valign="top" rowspan="1" colspan="1">13% (48)</td><td align="left" valign="top" rowspan="1" colspan="1">2% (12)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">8% (433)</td><td align="left" valign="top" rowspan="1" colspan="1">6% (423)</td><td align="left" valign="top" rowspan="1" colspan="1">10% (40)</td><td align="left" valign="top" rowspan="1" colspan="1">8% (47)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Body mass index median (IQR) [kg/m<sup>2</sup>]</td><td align="left" valign="top" rowspan="1" colspan="1">30 (25, 37)</td><td align="left" valign="top" rowspan="1" colspan="1">29 (24,34)</td><td align="left" valign="top" rowspan="1" colspan="1">28 (23, 35)</td><td align="left" valign="top" rowspan="1" colspan="1">29 (24, 36)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Comorbidities (chronic medical conditions), n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">0 &#x02013;1</td><td align="left" valign="top" rowspan="1" colspan="1">25% (1382)</td><td align="left" valign="top" rowspan="1" colspan="1">9% (593)</td><td align="left" valign="top" rowspan="1" colspan="1">25% (94)</td><td align="left" valign="top" rowspan="1" colspan="1">6% (39)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">1 &#x02013; 2</td><td align="left" valign="top" rowspan="1" colspan="1">27% (1492)</td><td align="left" valign="top" rowspan="1" colspan="1">19% (1309)</td><td align="left" valign="top" rowspan="1" colspan="1">29% (109)</td><td align="left" valign="top" rowspan="1" colspan="1">16% (99)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">2 &#x02013;3</td><td align="left" valign="top" rowspan="1" colspan="1">23% (1250)</td><td align="left" valign="top" rowspan="1" colspan="1">27% (1845)</td><td align="left" valign="top" rowspan="1" colspan="1">23% (89)</td><td align="left" valign="top" rowspan="1" colspan="1">28% (169)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">3 +</td><td align="left" valign="top" rowspan="1" colspan="1">25% (1361)</td><td align="left" valign="top" rowspan="1" colspan="1">45% (3060)</td><td align="left" valign="top" rowspan="1" colspan="1">23% (89)</td><td align="left" valign="top" rowspan="1" colspan="1">49% (295)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Smoking history</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Non-smoker</td><td align="left" valign="top" rowspan="1" colspan="1">56% (3075)</td><td align="left" valign="top" rowspan="1" colspan="1">51% (3466)</td><td align="left" valign="top" rowspan="1" colspan="1">49% (187)</td><td align="left" valign="top" rowspan="1" colspan="1">48% (288)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Past smoker</td><td align="left" valign="top" rowspan="1" colspan="1">23% (1281)</td><td align="left" valign="top" rowspan="1" colspan="1">31% (2102)</td><td align="left" valign="top" rowspan="1" colspan="1">23% (87)</td><td align="left" valign="top" rowspan="1" colspan="1">36% (214)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Current smoker</td><td align="left" valign="top" rowspan="1" colspan="1">15% (816)</td><td align="left" valign="top" rowspan="1" colspan="1">13% (859)</td><td align="left" valign="top" rowspan="1" colspan="1">28% (105)</td><td align="left" valign="top" rowspan="1" colspan="1">16% (94)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">6% (313)</td><td align="left" valign="top" rowspan="1" colspan="1">6% (380)</td><td align="left" valign="top" rowspan="1" colspan="1">1% (2)</td><td align="left" valign="top" rowspan="1" colspan="1">1% (6)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">&#x02265; 1 hospital admission in prior year</td><td align="left" valign="top" rowspan="1" colspan="1">36% (1940)</td><td align="left" valign="top" rowspan="1" colspan="1">50% (3341)</td><td align="left" valign="top" rowspan="1" colspan="1">44% (167)</td><td align="left" valign="top" rowspan="1" colspan="1">59% (348)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Frequency of influenza vaccination, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Every or most years</td><td align="left" valign="top" rowspan="1" colspan="1">33% (1807)</td><td align="left" valign="top" rowspan="1" colspan="1">68% (4660)</td><td align="left" valign="top" rowspan="1" colspan="1">25% (94)</td><td align="left" valign="top" rowspan="1" colspan="1">92% (554)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Some years</td><td align="left" valign="top" rowspan="1" colspan="1">10% (537)</td><td align="left" valign="top" rowspan="1" colspan="1">8% (536)</td><td align="left" valign="top" rowspan="1" colspan="1">13% (51)</td><td align="left" valign="top" rowspan="1" colspan="1">4% (22)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Rarely or never</td><td align="left" valign="top" rowspan="1" colspan="1">52% (2828)</td><td align="left" valign="top" rowspan="1" colspan="1">18% (1230)</td><td align="left" valign="top" rowspan="1" colspan="1">60% (230)</td><td align="left" valign="top" rowspan="1" colspan="1">4% (25)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">6% (313)</td><td align="left" valign="top" rowspan="1" colspan="1">6% (381)</td><td align="left" valign="top" rowspan="1" colspan="1">2% (6)</td><td align="left" valign="top" rowspan="1" colspan="1">0% (1)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Education level</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">High School graduation or less</td><td align="left" valign="top" rowspan="1" colspan="1">55% (2236)</td><td align="left" valign="top" rowspan="1" colspan="1">44% (2519)</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">College attendance or higher</td><td align="left" valign="top" rowspan="1" colspan="1">45% (1848)</td><td align="left" valign="top" rowspan="1" colspan="1">56% (3241)</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Routine mask use while in public, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1">52% (2605)</td><td align="left" valign="top" rowspan="1" colspan="1">60% (3984)</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td><td align="left" valign="top" rowspan="1" colspan="1">Not collected</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">US Census region, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Northeast</td><td align="left" valign="top" rowspan="1" colspan="1">16% (893)</td><td align="left" valign="top" rowspan="1" colspan="1">20% (1350)</td><td align="left" valign="top" rowspan="1" colspan="1">19% (72)</td><td align="left" valign="top" rowspan="1" colspan="1">22% (131)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">South</td><td align="left" valign="top" rowspan="1" colspan="1">47% (2551)</td><td align="left" valign="top" rowspan="1" colspan="1">40% (2721)</td><td align="left" valign="top" rowspan="1" colspan="1">44% (167)</td><td align="left" valign="top" rowspan="1" colspan="1">47% (281)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Midwest</td><td align="left" valign="top" rowspan="1" colspan="1">17% (931)</td><td align="left" valign="top" rowspan="1" colspan="1">19% (1324)</td><td align="left" valign="top" rowspan="1" colspan="1">11% (42)</td><td align="left" valign="top" rowspan="1" colspan="1">10% (63)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">West</td><td align="left" valign="top" rowspan="1" colspan="1">20% (1110)</td><td align="left" valign="top" rowspan="1" colspan="1">21% (1412)</td><td align="left" valign="top" rowspan="1" colspan="1">26% (100)</td><td align="left" valign="top" rowspan="1" colspan="1">21% (127)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Social Vulnerability Index, median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">0.65 (0.37, 0.89)</td><td align="left" valign="top" rowspan="1" colspan="1">0.57 (0.30, 0.84)</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.39, 0.88)</td><td align="left" valign="top" rowspan="1" colspan="1">0.59 (0.34, 0.86)</td></tr></tbody></table></table-wrap><table-wrap position="float" id="T2"><label>Table 2.</label><caption><p id="P54">The primary reason patients stated for receiving COVID-19 vaccination (January 1, 2021, to January 25, 2022) or influenza vaccination (October 10, 2019, to December 31, 2020) among those who reported receiving the vaccines.</p></caption><table frame="box" rules="all"><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">Covid-19 Vaccine</th><th align="left" valign="top" rowspan="1" colspan="1">n 6807</th><th align="left" valign="top" rowspan="1" colspan="1">Influenza Vaccine</th><th align="left" valign="top" rowspan="1" colspan="1">n 602</th><th align="left" valign="top" rowspan="1" colspan="1">P value</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Reason</th><th align="left" valign="top" rowspan="1" colspan="1">Proportion (number)</th><th align="left" valign="top" rowspan="1" colspan="1">Reason</th><th align="left" valign="top" rowspan="1" colspan="1">Proportion (number)</th><th align="left" valign="top" rowspan="1" colspan="1"/></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">I believe the SARS-CoV-2 vaccine is important for my health</td><td align="left" valign="top" rowspan="1" colspan="1">76.4% (5201)</td><td align="left" valign="top" rowspan="1" colspan="1">I believe the influenza vaccine is important for my health</td><td align="left" valign="top" rowspan="1" colspan="1">66.5% (400)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">My doctor suggested I get a SARS-CoV-2 vaccine</td><td align="left" valign="top" rowspan="1" colspan="1">8.3% (564)</td><td align="left" valign="top" rowspan="1" colspan="1">My doctor suggested I get the influenza vaccine</td><td align="left" valign="top" rowspan="1" colspan="1">27.7% (167)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I saw an advertisement for getting SARS-CoV-2 vaccines</td><td align="left" valign="top" rowspan="1" colspan="1">5.4% (364)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">N/A</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I believe getting a SARS-CoV-2 vaccine is important to keep others healthy</td><td align="left" valign="top" rowspan="1" colspan="1">0.4% (29)</td><td align="left" valign="top" rowspan="1" colspan="1">I believe getting the influenza vaccine is important to keep others healthy</td><td align="left" valign="top" rowspan="1" colspan="1">2.5% (15)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Family</td><td align="left" valign="top" rowspan="1" colspan="1">0.8% (54)</td><td align="left" valign="top" rowspan="1" colspan="1">Family</td><td align="left" valign="top" rowspan="1" colspan="1">0.2 % (1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.141</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work/Other Mandated</td><td align="left" valign="top" rowspan="1" colspan="1">1.3% (88)</td><td align="left" valign="top" rowspan="1" colspan="1">Work/Other Mandated</td><td align="left" valign="top" rowspan="1" colspan="1">2% (12)</td><td align="left" valign="top" rowspan="1" colspan="1">0.214</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">1% (67)</td><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">0.5 % (3)</td><td align="left" valign="top" rowspan="1" colspan="1">0.336</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Medical Condition</td><td align="left" valign="top" rowspan="1" colspan="1">0.3% (18)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">N/A</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Politics</td><td align="left" valign="top" rowspan="1" colspan="1">0.04% (3)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">N/A</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pregnancy</td><td align="left" valign="top" rowspan="1" colspan="1">0.01% (1)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">N/A</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">No Answer/Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">6.1% (418)</td><td align="left" valign="top" rowspan="1" colspan="1">No Answer/Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">0.7% (4)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr></tbody></table></table-wrap><table-wrap position="float" id="T3"><label>Table 3.</label><caption><p id="P55">The primary reason patients stated for not receiving COVID-19 vaccination (January 1, 2021, to January 25, 2022) or influenza vaccination (October 10, 2019, to December 31, 2020) among those who reported not receiving the vaccines.</p></caption><table frame="box" rules="all"><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">Covid-19 Vaccine</th><th align="left" valign="top" rowspan="1" colspan="1">n 5485</th><th align="left" valign="top" rowspan="1" colspan="1">Influenza Vaccine</th><th align="left" valign="top" rowspan="1" colspan="1">n 381</th><th align="left" valign="top" rowspan="1" colspan="1">P value</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Reason</th><th align="left" valign="top" rowspan="1" colspan="1">Proportion (number)</th><th align="left" valign="top" rowspan="1" colspan="1">Reason</th><th align="left" valign="top" rowspan="1" colspan="1">Proportion (number)</th><th align="left" valign="top" rowspan="1" colspan="1"/></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">I want to get a SARS-CoV-2 vaccine but it is not available to me yet</td><td align="left" valign="top" rowspan="1" colspan="1">5.5% (299)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I want to get a SARS-CoV-2 vaccine and I think I can get one, but I have not gotten around to it</td><td align="left" valign="top" rowspan="1" colspan="1">16.8% (920)</td><td align="left" valign="top" rowspan="1" colspan="1">I meant to get the influenza vaccine but never got around to it</td><td align="left" valign="top" rowspan="1" colspan="1">30.7% (117)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I want to get a SARS-CoV-2 vaccine, but I could not get transportation to a place where vaccines are given</td><td align="left" valign="top" rowspan="1" colspan="1">0.9% (47)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I want to get a SARS-CoV-2 vaccine but it costs too much money for me</td><td align="left" valign="top" rowspan="1" colspan="1">0.1% (3)</td><td align="left" valign="top" rowspan="1" colspan="1">The influenza vaccine costs too much money</td><td align="left" valign="top" rowspan="1" colspan="1">1.6% (6)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1">I was unable to get to a location that gives influenza vaccine</td><td align="left" valign="top" rowspan="1" colspan="1">4.2% (16)</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work/Other Mandated</td><td align="left" valign="top" rowspan="1" colspan="1">0.06% (3)</td><td align="left" valign="top" rowspan="1" colspan="1">Work/Other Mandated</td><td align="left" valign="top" rowspan="1" colspan="1">0.26% (1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.626</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Safety concerns</td><td align="left" valign="top" rowspan="1" colspan="1">3.3% (163)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I do not want to get a SARS-CoV-2 vaccine because I don&#x02019;t think it is important for my health</td><td align="left" valign="top" rowspan="1" colspan="1">11.9% (651)</td><td align="left" valign="top" rowspan="1" colspan="1">I don&#x02019;t believe the influenza vaccine is important for my health</td><td align="left" valign="top" rowspan="1" colspan="1">24.2% (92)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I do not want to get a SARS-CoV-2 vaccine because I do not believe they work</td><td align="left" valign="top" rowspan="1" colspan="1">5.3% (289)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I do not want to get a SARS-CoV-2 vaccine because I think they are dangerous</td><td align="left" valign="top" rowspan="1" colspan="1">11.6% (637)</td><td align="left" valign="top" rowspan="1" colspan="1">I think the influenza vaccine is dangerous for me</td><td align="left" valign="top" rowspan="1" colspan="1">13.7% (52)</td><td align="left" valign="top" rowspan="1" colspan="1">0.267</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I do not want to get a SARS-CoV-2 vaccine because I have had COVID-19 and therefore don&#x02019;t believe a vaccine is important for me</td><td align="left" valign="top" rowspan="1" colspan="1">2.6% (144)</td><td align="left" valign="top" rowspan="1" colspan="1">I got the influenza vaccine in the past and still got the flu</td><td align="left" valign="top" rowspan="1" colspan="1">9.5% (36)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">I did not know a SARS-CoV-2 vaccine was recommended for me</td><td align="left" valign="top" rowspan="1" colspan="1">1.1% (58)</td><td align="left" valign="top" rowspan="1" colspan="1">I didn&#x02019;t know I should get the influenza vaccine</td><td align="left" valign="top" rowspan="1" colspan="1">3.9% (15)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">No Answer/Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">15% (820)</td><td align="left" valign="top" rowspan="1" colspan="1">No Answer/Unknown</td><td align="left" valign="top" rowspan="1" colspan="1">3.4% (13)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Health Care Provider</td><td align="left" valign="top" rowspan="1" colspan="1">2.2% (118)</td><td align="left" valign="top" rowspan="1" colspan="1">Healthcare Provider</td><td align="left" valign="top" rowspan="1" colspan="1">0.5% (2)</td><td align="left" valign="top" rowspan="1" colspan="1">0.048</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Family</td><td align="left" valign="top" rowspan="1" colspan="1">0.3% (18)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Religious Reason</td><td align="left" valign="top" rowspan="1" colspan="1">0.7% (37)</td><td align="left" valign="top" rowspan="1" colspan="1">Religious Reason</td><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Politics</td><td align="left" valign="top" rowspan="1" colspan="1">0.6% (32)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">NA</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pregnancy</td><td align="left" valign="top" rowspan="1" colspan="1">0.9% (50)</td><td align="left" valign="top" rowspan="1" colspan="1">Pregnancy</td><td align="left" valign="top" rowspan="1" colspan="1">0.3% (1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.301</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Medical Condition</td><td align="left" valign="top" rowspan="1" colspan="1">6.1% (335)</td><td align="left" valign="top" rowspan="1" colspan="1">Medical Condition</td><td align="left" valign="top" rowspan="1" colspan="1">4.5% (17)</td><td align="left" valign="top" rowspan="1" colspan="1">0.232</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">15.7% (859)</td><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">3.4% (13)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5485</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Total</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>381</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr></tbody></table></table-wrap></floats-group></article>