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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.782198</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Population-Based Incidence of Guillain-Barr&#xe9; Syndrome During Mass Immunization With Viral Vaccines: A Pooled Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Fengge</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Donglan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yingjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Cancan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Yulu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1419844"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1569216"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Pengcheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1420596"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yichun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1478006"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/242896"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Youxin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/662724"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hou</surname>
<given-names>Haifeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/863541"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences</institution>, <addr-line>Taian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University</institution>, <addr-line>Perth, WA</addr-line>, <country>Australia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Marc H. V. Van Regenmortel, Centre National de la Recherche Scientifique (CNRS), France</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Harald Hegen, Innsbruck Medical University, Austria; Elizabeth Miller, University of London, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Wei Wang, <email xlink:href="mailto:wei.wang@ecu.edu.au">wei.wang@ecu.edu.au</email>; Youxin Wang, <email xlink:href="mailto:wangy@ccmu.edu.cn">wangy@ccmu.edu.cn</email>; Haifeng Hou, <email xlink:href="mailto:hfhou@163.com">hfhou@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>782198</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Wang, Wang, Wang, Li, Zheng, Guo, Liu, Zhang, Wang, Wang and Hou</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang, Wang, Wang, Li, Zheng, Guo, Liu, Zhang, Wang, Wang and Hou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Misunderstanding temporal coincidence of adverse events during mass vaccination and invalid assessment of possible safety concerns have negative effects on immunization programs, leading to low immunization coverage. We conducted this systematic review and meta-analysis to identify the incidence rates of GBS that are temporally associated with viral vaccine administration but might not be attributable to the vaccines. By literature search in Embase and PubMed, we included 48 publications and 2,110,441,600 participants. The pooled incidence rate of GBS was 3.09 per million persons (95% confidence interval [CI]: 2.67 to 3.51) within six weeks of vaccination, equally 2.47 per 100,000 person-year (95%CI: 2.14 to 2.81). Subgroup analyses illustrated that the pooled rates were 2.77 per million persons (95%CI: 2.47 to 3.07) for individuals who received the influenza vaccine and 2.44 per million persons (95%CI: 0.97 to 3.91) for human papillomavirus (HPV) vaccines, respectively. Our findings evidence the GBS-associated safety of virus vaccines. We present a reference for the evaluation of post-vaccination GBS rates in mass immunization campaigns, including the SARS-CoV-2 vaccine.</p>
</abstract>
<kwd-group>
<kwd>Guillain-Barr&#xe9; syndrome</kwd>
<kwd>virus</kwd>
<kwd>vaccine</kwd>
<kwd>mass immunization</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="84"/>
<page-count count="11"/>
<word-count count="4933"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The coronavirus disease-2019 (COVID-19), induced by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has been challenging all over the world since December, 2019 (<xref ref-type="bibr" rid="B1">1</xref>). As of December 29, 2021, the total number of confirmed cases is over 281 million worldwide, including more than five million deaths (<xref ref-type="bibr" rid="B2">2</xref>). SARS-CoV-2 infection is commonly characterized by fever, cough, shortness of breath, headache fatigue, pneumonia and congestion (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). In severe cases, especially among individuals over 60 years old and those with underlying chronic comorbidities, the infection leads to acute respiratory distress syndrome (ARDS), renal failure, meningoencephalitis, cerebrovascular accidents, sepsis and even death (<xref ref-type="bibr" rid="B5">5</xref>). Compared with its predecessors (<italic>i.e.</italic>, SARS-CoV and MERS-CoV), SARS-CoV-2 transmits much more efficiently from person to person (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Currently, mass vaccine immunization is believed essential to control the pandemic (<xref ref-type="bibr" rid="B7">7</xref>). The SARS-CoV-2 vaccine has been expedited through preclinical and clinical investigations (<xref ref-type="bibr" rid="B8">8</xref>). As of December 29, 2021, a total of&#xa0;8,687,201,202&#xa0;vaccine doses&#xa0;have been administered worldwide (<xref ref-type="bibr" rid="B2">2</xref>). Efforts have been made to promote mass vaccination programs against SARS-CoV-2. The unprecedented campaign of mass immunization will pose many challenges to the assessment of vaccine safety. Potential adverse events following immunization (AEFI), induced by vaccination of SARS-CoV-2, will foreseeably raise potential concerns under the pandemic. The public needs frequent reassurance of vaccine safety when adverse events occur in temporally coincident association with SARS-CoV-2 vaccination, even when the events are not caused by the vaccines. Awareness of possible adverse events is essential for the assessment of vaccine safety and may help to separate AEFI from events that are temporally associated with but might not be attributed to vaccination (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Viral vaccines were considered to be related to AEFIs including vomiting, diarrhea, nausea or abdominal pain, acute otitis media, vaccine-related paralytic poliomyelitis (VAPP), Guillain-Barr&#xe9; syndrome (GBS), anaphylactic shock, epilepsy and meningitis (<xref ref-type="bibr" rid="B10">10</xref>), among which GBS is considered one of the most severe conditions (<xref ref-type="bibr" rid="B11">11</xref>). GBS is featured by immune mediators damaging to peripheral nerves and associated with muscle weakness or paralysis (<xref ref-type="bibr" rid="B12">12</xref>). The initial symptoms of GBS are severe nerve pain in the neck, shoulder and waist, followed by acute progressive acute paralysis of limbs and subjective sensory disturbance (<xref ref-type="bibr" rid="B13">13</xref>). Reported incidence rates of GBS for all ages combined range from 0.2 to 3.0 per 100,000 person-years (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>An 11- to 18-fold increase of incidence rate of GBS within three weeks after influenza vaccination and a 4- to 9-fold increase within six weeks have been released previously (<xref ref-type="bibr" rid="B12">12</xref>). Consideration about GBS that was in the wake of post-vaccination appeared for the first time in the influenza vaccine season from 1976 to 1977 (<xref ref-type="bibr" rid="B15">15</xref>). Mass human papillomavirus (HPV) immunization has also been suggested to be related to GBS (<xref ref-type="bibr" rid="B16">16</xref>). At present, HPV vaccines are recommended by World Health Organization (WHO) for girls between 9 and 13 years old (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Recently, an 82-year-old female developed GBS two weeks after receipt of the first dose of Pfizer COVID-19 vaccine (<xref ref-type="bibr" rid="B19">19</xref>). Thereby, rational interpretation of GBS occurrence temporally associated with vaccination is needed to the public. A valid interpretation of the coincidental adverse events may prevent from misunderstanding such reports, and contribute to the acceptance of vaccination campaigns.</p>
<p>In order to identify the incidence rate of GBS in populations that received viral vaccines during mass immunization campaigns, we conducted this systematic review and meta-analysis. We expected to provide the reference for the public to assess post-vaccination GBS validly, and engage in averting potential spurious association between the vaccine and coincidental adverse events during the mass vaccination against SARS-CoV-2.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>This study was conducted by reference to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline (<xref ref-type="bibr" rid="B20">20</xref>), which is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>.</p>
<sec id="s2_1">
<title>Literature Search Strategy</title>
<p>We performed a systematic literature search on Embase and PubMed databases to identify all relevant studies published up to December 31, 2020. The search strategy was based on the combination of the following terms: &#x201c;Guillain-Barr&#xe9; syndrome&#x201d;, &#x201c;Guillain-Barre syndrome&#x201d;, &#x201c;acute infectious polyneuritis&#x201d;, &#x201c;acute inflammatory demyelinating polyneuropathy&#x201d;, &#x201c;Landry-Kussmaul syndrome&#x201d;, &#x201c;Landry-Guillain-Barr&#xe9; syndrome&#x201d;, &#x201c;Landry&#x2032;s syndrome&#x201d;, &#x201c;Kussmaul-Landry syndrome&#x201d;, &#x201c;Landry&#x2032;s paralysis&#x201d;, &#x201c;vaccine&#x201d;, &#x201c;vaccination&#x201d;, &#x201c;inoculation&#x201d;, &#x201c;immunize&#x201d;, &#x201c;vaccinum&#x201d;, &#x201c;bacterin&#x201d;, &#x201c;immunization&#x201d;, &#x201c;immunise&#x201d;, &#x201c;immune&#x201d;, &#x201c;vaccines&#x201d;. References cited in the included articles were also screened to find additional studies.</p>
</sec>
<sec id="s2_2">
<title>Literature Screening and Selection</title>
<p>Firstly, the titles and abstracts of the publications were reviewed by two authors (FW and DW) independently. Secondly, the full text and online supplementary data were read to determine the eligibility of the publications. Any uncertainties and discrepancies were resolved by discussion with the third author (YW). The inclusion criteria were: 1) studies that reported temporal coincidence of GBS in mass immunizations; 2) participants received viral vaccines, including but not limited to influenza vaccine, HPV vaccine, polio vaccine, hepatitis vaccine, measles-rubella vaccine, rubella vaccine, or measles-mumps-rubella (MMR); 3) the following data were available or can be calculated: number of GBS patients, number of vaccinated populations, or background rate of GBS after vaccination. The quality of the literature was assessed by two authors (CL and YW) independently (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>).</p>
<p>Studies matching the following items were excluded: 1) reviews, case report studies, letters and conference abstracts; 2) animal studies; 3) clinical studies evaluating the safety of vaccines; 4) studies did not provide the information of vaccines in detail; 5) studies with the duplicate publication or overlapping data.</p>
</sec>
<sec id="s2_3">
<title>Data Extraction</title>
<p>Two authors collected the following data independently: 1) first author&#x2019;s name; 2) publication year; 3) characteristic of patients (<italic>e.g.</italic>, ethnicity, region, gender, age-range); 4) information of vaccines (<italic>e.g.</italic>, the target viruses of vaccines, type of vaccine, follow-up duration after vaccination, the valence of vaccines and adjuvants of vaccines); 5) the number of study participants; 6) background rate and/or number of coincident cases of GBS during vaccination; 7) sources of vaccination. If there were duplicate data, the studies with larger sample size or newly published ones were involved.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analysis</title>
<p>The meta-analysis, a statistical procedure for the combination of the results from multiple independent studies, was performed using STATA version 16.0 (STATA Corp, College Station, TX, USA) and/or R version 4.0.4 (Foundation for Statistical Computing, Vienna, Austria), by which the pooled background rate and its 95% confidence interval (CI) were calculated. Cochran&#x2019;s Q-test and <italic>I</italic>
<sup>2</sup> statistics were applied to measure the significance of heterogeneity across eligible studies. Heterogeneity was assumed insignificant if <italic>P</italic> &gt; 0.05 and <italic>I</italic>
<sup>2</sup> &lt; 50%, then a fixed-effect model meta-analysis was carried out, otherwise, heterogeneity was considered statistically significant, then the Der-Simonian Laird&#x2019;s random-effect model was implemented (<xref ref-type="bibr" rid="B21">21</xref>). Moreover, subgroup analyses were conducted on the basis of gender, age range, ethnicity, target virus, type of vaccines, follow-up duration after vaccination, the valence of vaccines and adjuvants of vaccines. To estimate the stability of the pooled results and distinguish the potential influence of individual studies, a sensitivity analysis was conducted by sequential removal of every single study one at a time. In addition, the publication bias was modeled by the funnel plots and analyzed by the Egger&#x2019;s test. Furthermore, the trim-fill method was used to adjust for publication bias when it is significant. A <italic>P</italic> &lt; 0.05 was considered significant if not mentioned specifically.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature Search</title>
<p>A total of 2,201 publications (1,081 from PubMed and 1,120 from Embase) were retrieved, among which 943 duplicate records were excluded. After reviewed by titles and abstracts of the remained studies 1,124 publications were excluded for the following reasons: 188 studies were reviewed, case report studies, letters and conference abstracts; 102 were no-human-based researches; 179 were clinical trials; 226 were not studies on the incidence of GBS in vaccinees; 305 were not studies on virus vaccines; and 124 were researches on the mechanism of GBS. Among the 134 articles evaluated by full-text, 64 were excluded due to no details of vaccines or doses; 17 were excluded due to no number of coincident cases of GBS during vaccination; 5 were excluded due to duplicate data.</p>
<p>We checked the database of original studies on GBS after vaccination, and excluded one study of seasonal influenza vaccine in the U.S (<xref ref-type="bibr" rid="B22">22</xref>), one H1N1 vaccine study in the U.S (<xref ref-type="bibr" rid="B23">23</xref>), one HPV vaccine study in the U.S (<xref ref-type="bibr" rid="B24">24</xref>), and two studies of H1N1 vaccine in China due to duplicate data (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Finally, 48 publications with 58 independent studies were included in our meta-analysis (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B74">74</xref>). The flow chart of literature screening process is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram of study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-782198-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Characteristics of Included Studies</title>
<p>Of the 58 studies, 45 reported the incidence of GBS for influenza vaccines, seven reported HPV vaccines, one reported polio vaccine, one reported hepatitis vaccine, two reported Measles-Rubella&#xa0;vaccines, one reported Rubella vaccine, one reported measles-mumps-rubella vaccine (MMR) vaccine. There are 20 studies on inactivated virus vaccines, seven on live-attenuated vaccines, one on the recombinant vaccine and one on the split-virion vaccine. With regard to the duration of follow-up, 32 studies reported the background rate of GBS within six weeks after vaccination. The details are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Author</th>
<th valign="top" align="center">Publication year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Target virus</th>
<th valign="top" align="center">Vaccine</th>
<th valign="top" align="center">Type of vaccine</th>
<th valign="top" align="center">Time of immunization</th>
<th valign="top" align="center">Follow-up Duration</th>
<th valign="top" align="center">N. of participants</th>
<th valign="top" align="center">N. of GBS</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lee (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Korea</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2014-2016</td>
<td valign="top" align="center">0-90 d</td>
<td valign="top" align="center">10,100,000</td>
<td valign="top" align="center">74</td>
</tr>
<tr>
<td valign="top" align="left">Phillips (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2007-2017</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">9,400,000</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Mauro (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">Brazil</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">Recombinant vaccine</td>
<td valign="top" align="center">2014-2016</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">3,390,376</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Deceuninck (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1999-2014</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">559,988</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Miranda (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2008-2012</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">842,120</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">Gee (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2006-2015</td>
<td valign="top" align="center">15 d</td>
<td valign="top" align="center">1,708,075</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Sandhu (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">2017(a)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2010-2011</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">14,052,724</td>
<td valign="top" align="center">88</td>
</tr>
<tr>
<td valign="top" align="left">Sandhu</td>
<td valign="top" align="center">2017(b)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2011-2012</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">15,474,830</td>
<td valign="top" align="center">75</td>
</tr>
<tr>
<td valign="top" align="left">Sandhu</td>
<td valign="top" align="center">2017(c)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2012-2013</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">16,220,362</td>
<td valign="top" align="center">87</td>
</tr>
<tr>
<td valign="top" align="left">Sandhu</td>
<td valign="top" align="center">2017(d)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2013-2014</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">16,189,929</td>
<td valign="top" align="center">89</td>
</tr>
<tr>
<td valign="top" align="left">Ghaderi (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">1,896,455</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Tasher (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">Israel</td>
<td valign="top" align="center">Polio</td>
<td valign="top" align="center">bOPV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2013-2014</td>
<td valign="top" align="center">23 d, 45&#xa0;d, 38 d</td>
<td valign="top" align="center">943,587</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Mayet (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2011-2012</td>
<td valign="top" align="center">4 d</td>
<td valign="top" align="center">256,666</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Haber (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">2005-2013</td>
<td valign="top" align="center">0-73 d</td>
<td valign="top" align="center">14,221,122</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">Kawai (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2014(a)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2012-2013</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">2,832,064</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">Kawai</td>
<td valign="top" align="center">2014(b)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">2012-2013</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">187,497</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Baxter (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">1994-2006</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">5,251,544</td>
<td valign="top" align="center">18</td>
</tr>
<tr>
<td valign="top" align="left">McCarthy (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="center">2013(a)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Inactivated and live attenuated</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-84 d</td>
<td valign="top" align="center">538,257</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">McCarthy</td>
<td valign="top" align="center">2013(b)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-84 d</td>
<td valign="top" align="center">998,881</td>
<td valign="top" align="center">18</td>
</tr>
<tr>
<td valign="top" align="left">McCarthy</td>
<td valign="top" align="center">2013(c)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2010-2011</td>
<td valign="top" align="center">0-84 d</td>
<td valign="top" align="center">1,158,932</td>
<td valign="top" align="center">28</td>
</tr>
<tr>
<td valign="top" align="left">Polakowski (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">3,436,452</td>
<td valign="top" align="center">34</td>
</tr>
<tr>
<td valign="top" align="left">Greene (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2011</td>
<td valign="top" align="center">0-141 d</td>
<td valign="top" align="center">4,066,533</td>
<td valign="top" align="center">72</td>
</tr>
<tr>
<td valign="top" align="left">Choe (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">Korea</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2003-2010</td>
<td valign="top" align="center">1-105 d</td>
<td valign="top" align="center">75,000,000</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">De Wals (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-56 d</td>
<td valign="top" align="center">4,067,340</td>
<td valign="top" align="center">25</td>
</tr>
<tr>
<td valign="top" align="left">Souayah (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">HBV</td>
<td valign="top" align="center">HBV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1990-2009</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">55,588,000</td>
<td valign="top" align="center">189</td>
</tr>
<tr>
<td valign="top" align="left">Souayah (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="center">2012(a)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">99,366,920</td>
<td valign="top" align="center">62</td>
</tr>
<tr>
<td valign="top" align="left">Souayah (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="center">2012(b)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">53,708,996</td>
<td valign="top" align="center">57</td>
</tr>
<tr>
<td valign="top" align="left">Yih (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-70 d</td>
<td valign="top" align="center">2,880,797</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Wise (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">32,000,000</td>
<td valign="top" align="center">411</td>
</tr>
<tr>
<td valign="top" align="left">Choe (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">Korea</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">17,570,000</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">Liang (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Split-virion vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">&lt;80 d</td>
<td valign="top" align="center">89,600,000</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Mayet (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">French</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">22 d</td>
<td valign="top" align="center">49,138</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Souayah (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="center">2011(a)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2006-2009</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">173,000,000</td>
<td valign="top" align="center">166</td>
</tr>
<tr>
<td valign="top" align="left">Souayah</td>
<td valign="top" align="center">2011(b)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2006-2009</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">8,600,000</td>
<td valign="top" align="center">69</td>
</tr>
<tr>
<td valign="top" align="left">Vidal (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">Mexico</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">45,490,501</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">Banzhoff (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">11,000,000</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">Vellozzi (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">MIV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">82,400,000</td>
<td valign="top" align="center">99</td>
</tr>
<tr>
<td valign="top" align="left">Burwen (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2000-2001</td>
<td valign="top" align="center">0-98 d</td>
<td valign="top" align="center">22,200,000</td>
<td valign="top" align="center">238</td>
</tr>
<tr>
<td valign="top" align="left">Vellozzi (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="center">2009</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">1990-2005</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">747,070,979</td>
<td valign="top" align="center">581</td>
</tr>
<tr>
<td valign="top" align="left">Nakayama (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="center">2007(a)</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">1994-2004</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">38,020,000</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Nakayama</td>
<td valign="top" align="center">2007(b)</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">Rubella virus</td>
<td valign="top" align="center">Rubella vaccine</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">1994-2004</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">4,000,000</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Bino (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2003</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">Measles and rubella viruses</td>
<td valign="top" align="center">Measles-rubella vaccine</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">1991-2001</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">867,000</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Patja (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">2001</td>
<td valign="top" align="center">Finland</td>
<td valign="top" align="center">Measles, mumps and rubella viruses</td>
<td valign="top" align="center">MMR</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1982-1986</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">630,000</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">Hurwitz (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">1981</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1978-1979</td>
<td valign="top" align="center">0-56 d</td>
<td valign="top" align="center">12,500,000</td>
<td valign="top" align="center">13</td>
</tr>
<tr>
<td valign="top" align="left">Safranek (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="center">1991</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1976</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">3,822,370</td>
<td valign="top" align="center">45</td>
</tr>
<tr>
<td valign="top" align="left">Greene (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2012(a)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-127 d</td>
<td valign="top" align="center">1,480,135</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">Greene</td>
<td valign="top" align="center">2012(b)</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-84 d</td>
<td valign="top" align="center">1,724,570</td>
<td valign="top" align="center">39</td>
</tr>
<tr>
<td valign="top" align="left">Moro (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2011-2019</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">113,100,000</td>
<td valign="top" align="center">61</td>
</tr>
<tr>
<td valign="top" align="left">Huang (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">5688517</td>
<td valign="top" align="center">19</td>
</tr>
<tr>
<td valign="top" align="left">&#xc1;lvarez (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">Latin<break/>U.S. and Caribbean</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2009-2010</td>
<td valign="top" align="center">0-45 d</td>
<td valign="top" align="center">143,835,616</td>
<td valign="top" align="center">105</td>
</tr>
<tr>
<td valign="top" align="left">Arya (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2015-2016</td>
<td valign="top" align="center">0-42 d</td>
<td valign="top" align="center">13,366,005</td>
<td valign="top" align="center">95</td>
</tr>
<tr>
<td valign="top" align="left">Andrews (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">U.K.</td>
<td valign="top" align="center">HPV</td>
<td valign="top" align="center">HPV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2007-2016</td>
<td valign="top" align="center">0-91 d</td>
<td valign="top" align="center">10,400,000</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Haber (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">QIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2013-2015</td>
<td valign="top" align="center">0-24 d</td>
<td valign="top" align="center">70,000,000</td>
<td valign="top" align="center">13</td>
</tr>
<tr>
<td valign="top" align="left">Haber (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">QIV</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">2013-2014</td>
<td valign="top" align="center">7 d, 9 d</td>
<td valign="top" align="center">12,700,000</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Benedetti (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">Italy</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">IV vaccine</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2010-2011</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">19,846,068</td>
<td valign="top" align="center">365</td>
</tr>
<tr>
<td valign="top" align="left">Moro (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Inactivated vaccine</td>
<td valign="top" align="center">2013-2015</td>
<td valign="top" align="center">6 d, 9&#xa0;d, 22 d</td>
<td valign="top" align="center">5,600,000</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Esteghamati (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Measles, mumps, rubella</td>
<td valign="top" align="center">MMR</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2002-2004</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">7,042,254</td>
<td valign="top" align="center">25</td>
</tr>
<tr>
<td valign="top" align="left">Izurieta (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2005</td>
<td valign="top" align="center">U.S.</td>
<td valign="top" align="center">IV</td>
<td valign="top" align="center">TIV</td>
<td valign="top" align="center">Live attenuated vaccine</td>
<td valign="top" align="center">2003-2005</td>
<td valign="top" align="center">&#x2265;1 d</td>
<td valign="top" align="center">2,500,000</td>
<td valign="top" align="center">2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HPV, human papilloma virus; MIV, monovalent influenza vaccine; QIV, quadrivalent influenza vaccine; TIV, trivalent influenza vaccine; IV, influenza virus; MMR, measles-mumps-rubella vaccine; N, number; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Pooled Results of Post-Vaccination GBS Rate</title>
<p>As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, the pooled GBS rate, synthesized by a random-effects model, was 5.29 per million (95% CI: 3.66 to 6.93 per million) after immunization of viral vaccines. The heterogeneity test showed significant heterogeneity between studies (<italic>I<sup>2</sup>
</italic> = 98%, <italic>P</italic> &lt; 0.01). Since the time period between 0 and 6 weeks is considered as the risk window after vaccination, we evaluated the GBS rate in this period. As result, the pooled rate was 3.09 per million persons (95% CI: 2.67 to 3.51 per million) for the 42-day window, equally 2.47 per 100,000 person-year (95%CI: 2.14 to 2.81 per 100,000 person-year). In contrast, as shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>, the previous studies that estimated incidence rates of GBS within general populations showed a range from 0.42 to 2.42 per 100,000 per person-year, meaning that there was no significant increase in GBS among population received viral vaccines.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Pooled background rates of Guillain-Barr&#xe9; syndrome during mass immunization. CI, confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-782198-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Subgroup Analyses</title>
<p>Subgroup analyses were performed on the basis of gender, age, ethnicity, target virus, type of vaccines, the valence of vaccines and adjuvants of vaccines. As shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, the pooled incidence rates of GBS were 7.26 per million (95%CI: 3.11 to 11.41 per million) among people aged &lt;18 years, 0.99 per million (95%CI: 0.24 to 1.73 per million) among people aged 18 to 59 years, and 6.06 per million (95%CI: 2.51 to 9.61 per million) among people aged &#x2265; 60 years of age. The pooled rates were 6.31 per million (95%CI: 0.81 to 11.82 per million) among men, and 6.41 per million (95%CI: 2.53 to 10.30 per million) among women. The pooled GBS rates were 5.89 per million (95%CI: 4.05 to 7.72 per million) among Caucasian vaccinees, and 0.61 per million (95%CI: 0.32 to 0.91 per million) among Asian vaccinees.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analysis and trim-fill analysis of GBS incidence (per million persons).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Subgroup</th>
<th valign="top" align="center">N of studies</th>
<th valign="top" align="center">N of participants</th>
<th valign="top" align="center">Pooled rate and 95% CI</th>
<th valign="top" align="center">
<italic>I<sup>2 (</sup>
</italic>%)</th>
<th valign="top" align="center">Egger&#x2019;s test (<italic>P</italic>)</th>
<th valign="top" align="center">Adjusted pooled rate and 95% CI*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left"/>
<td valign="top" align="center">58</td>
<td valign="top" align="center">2,110,441,600</td>
<td valign="top" align="center">5.29 (3.66, 6.93)</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">6.90 (&lt;0.001)</td>
<td valign="top" align="center">1.71 (0, 3.96)</td>
</tr>
<tr>
<td valign="top" align="left">Duration of follow-up</td>
<td valign="top" align="left">Six weeks&#xa0;after vaccination</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">817,821,271</td>
<td valign="top" align="center">3.09 (2.67, 3.51)</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">8.11 (&lt;0.001)</td>
<td valign="top" align="center">1.89 (1.48, 2.30)</td>
</tr>
<tr>
<td valign="top" align="left">Target virus</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">HPV</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">34,900,559</td>
<td valign="top" align="center">2.44 (0.97, 3.91)</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">2.55 (0.051)</td>
<td valign="top" align="center">2.10 (0.54, 3.66)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">IV</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">2,006,470,200</td>
<td valign="top" align="center">2.77 (2.47, 3.07)</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">6.45 (&lt;0.001)</td>
<td valign="top" align="center">1.39 (1.07, 1.72)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MR</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">7,909,254</td>
<td valign="top" align="center">2.52 (0.19, 4.85)</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Valence of vaccines</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Monovalent</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">252,770,647</td>
<td valign="top" align="center">3.98 (2.65, 5.32)</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">2.24 (0.060)</td>
<td valign="top" align="center">3.95 (2.63, 5.28)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Trivalent</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1,000,233,168</td>
<td valign="top" align="center">1.94 (1.46, 2.41)</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">2.62 (0.022)</td>
<td valign="top" align="center">0.98 (0.47, 1.49)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Quadrivalent</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">82,700,000</td>
<td valign="top" align="center">0.18 (0.09, 0.27)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Type of vaccines</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Inactivated vaccine</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">1,209,873,878</td>
<td valign="top" align="center">5.01 (2.29, 7.73)</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">2.96 (0.008)</td>
<td valign="top" align="center">1.05 (0, 4.72)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Live-attenuated vaccine</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">116,875,619</td>
<td valign="top" align="center">0.68 (0.17, 1.20)</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">0.36 (0.730)</td>
<td valign="top" align="center">0.65 (0.15, 1.14)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Split-virion vaccine</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">89,600,000</td>
<td valign="top" align="center">0.09 (0.03, 0.15)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Recombinant vaccine</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3,390,376</td>
<td valign="top" align="center">0.59 (0, 1.41)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Adjuvants</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">AS03</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6,012,933</td>
<td valign="top" align="center">5.40 (3.54, 7.26)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.54 (0.687)</td>
<td valign="top" align="center">5.37 (3.51, 7.22)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MF59</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11,000,000</td>
<td valign="top" align="center">2.00 (1.17, 2.83)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Ethnicity</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Caucasian</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">1,870,463,083</td>
<td valign="top" align="center">5.89 (4.05, 7.72)</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">6.19 (&lt;0.001)</td>
<td valign="top" align="center">1.90 (0, 4.41)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">239,978,517</td>
<td valign="top" align="center">0.61 (0.32, 0.91)</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">3.80 (0.013)</td>
<td valign="top" align="center">0.46 (0.11, 0.82)</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&lt;18</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">10,884,949</td>
<td valign="top" align="center">7.26 (3.11, 11.41)</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">2.37 (0.077)</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">18~59</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">279,909,637</td>
<td valign="top" align="center">0.99 (0.24, 1.73)</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">4.77 (0.131)</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2265;60</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">376,783,923</td>
<td valign="top" align="center">6.06 (2.51, 9.61)</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">3.75 (0.033)</td>
<td valign="top" align="center">4.33 (1.42, 7.25)</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Men</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">10,541,605</td>
<td valign="top" align="center">6.31 (0.81, 11.82)</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">3.08 (0.200)</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Women</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">25,618,567</td>
<td valign="top" align="center">6.41 (2.53, 10.30)</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">3.27 (0.047)</td>
<td valign="top" align="center">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Trim-fill analysis; CI, confidence interval; HPV, Human papilloma virus; IV, Influenza vaccine; bOPV, Bivalent oral polio vaccine; MR, Measles-rubella;&#xa0;MMR, Measles-mumps-rubella; N, number; NA, not applied.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Based on 29 original studies reported vaccines types, the pooled GBS rates were 5.01 per million (95%CI: 2.29 to 7.73 per million) for inactivated viral vaccine, 0.68 per million (95%CI: 0.17 to 1.20 per million) for the live-attenuated vaccine, respectively. The pooled background rates of GBS were 2.77 per million (95%CI: 2.47 to 3.07 per million) for individuals received influenza vaccine, and 2.44 per million (95%CI: 0.97 to 3.91 per million) for those received HPV vaccine. In addition, the pooled background rates were 3.98 per million (95% CI: 2.65 to 5.32 per million) for monovalent vaccines of influenza vaccine, 1.94 per million (95% CI: 1.46 to 2.41 per million) for trivalent vaccines of influenza, and 0.18 per million (95% CI: 0.09 to 0.27 per million) for quadrivalent vaccines of influenza, respectively.</p>
<p>There were four studies reported the details of vaccine adjuvants. Among them three used AS03 adjuvant, and one had MF59 adjuvant. The pooled background rate of GBS was 5.40 per million (95%CI: 3.54 to 7.26 per million) for vaccine with AS03 adjuvant.</p>
</sec>
<sec id="s3_5">
<title>Publication Bias and Sensitivity Analyses</title>
<p>Funnel plot analysis and Egger&#x2019;s test were used to examine the significance of publication bias underlying our study, by which a statistical significance was identified (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In order to control publication bias the trim-fill method was further performed, by which the pooled GBS rate was 1.71 per million (95% CI: 0 to 3.96 per million) after immunization of vaccine against virus, and 1.89 per million (95% CI: 1.48 to 2.30 per million) in 6 weeks follow-up after immunization.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Funnel plot for publication bias analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-782198-g003.tif"/>
</fig>
<p>To examine the strength of the pooled results, we performed a sensitivity analysis by omitting one study at a time. Consequently, the pooled result was not dominantly affected by any of the individual studies (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>), indicating high stability of our results.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To the best of our knowledge, this study is the first to comprehensively summarize the incidence rates of GBS following mass immunizations of viral vaccines. Our meta-analyses, involving 58 original studies and 2,110,441,600 participants, identified a pooled rate 5.29 per million (95% CI:3.66 to 6.93 per million) among people received viral vaccines, and a pooled rate 3.09 per million (95% CI:2.67 to 3.51 per million) in 6 weeks of vaccination, equally 2.47 per 100,000 person-year (95%CI: 2.14 to 2.81 per 100,000 person-year). There was no significant increase in GBS incidence among population received viral vaccines compared to general population without prior vaccination. Subgroup analyses released the pooled rates of 2.77 per million (95%CI: 2.47 to 3.07 per million) for individuals received influenza vaccine and 2.44 per million (95%CI: 0.97 to 3.91 per million) for HPV vaccinees, respectively.</p>
<p>GBS is a demyelinating transient neurological disorder characterized by lack of paralysis and sensory impairment. GBS is an immune-related disorder, in which the immune response generates antibodies that cross-react with gangliosides (<italic>i.e.</italic>, GM1, GD1a, GT1b and GQ1b) at nerve membranes (<xref ref-type="bibr" rid="B75">75</xref>). This autoimmune response results in nerve damage or functional blockade of nerve conduction (<xref ref-type="bibr" rid="B76">76</xref>). Aberrant active immunization induced by artificial vaccines, hypothetically, is able to stimulate the immune system to produce specific antibodies, which contribute to cross reaction with epitopes on myelin or axons, leading to nerve damage (<xref ref-type="bibr" rid="B77">77</xref>). Vaccines might, as understood, damage the peripheral nerves directly (<xref ref-type="bibr" rid="B78">78</xref>). However, the causal associations between vaccines and GBS have not been substantially proved, <italic>i.e.</italic>, the association might not be causally established.</p>
<p>The mass immunization against COVID-19 has started unprecedentedly on a global scale. Recently, coincident GBS case was observed after administrated with COVID-19 vaccine (<xref ref-type="bibr" rid="B19">19</xref>). New considerations about vaccine safety will undoubtedly arise. Toward the public, it is critical to distinguish events that are temporally associated with vaccination from those directly caused by vaccines. Misinterpretation of GBS incidence that is only temporally coincident with but not caused by vaccination will not only obstruct the success of mass vaccination, but also hinder the development of newer vaccines (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>During the 1976-77 A/H1N1 influenza immunization campaign, an increase of GBS was reported after vaccine administration (<xref ref-type="bibr" rid="B15">15</xref>), which suspended the immunization program temporarily, and initiated vaccine safety concerns. In the 1993-1994 influenza seasons, public concern of vaccine-related GBS arose again due to the increment of GBS (<xref ref-type="bibr" rid="B79">79</xref>). The 2009 H1N1 influenza pandemic motivated H1N1 vaccine campaigns in North America and Europe, where post-vaccination GBS concern was raised consequently (<xref ref-type="bibr" rid="B29">29</xref>). However, in 2009-2010, a surveillance of H1N1 influenza vaccine in 45 million persons showed a lower excess risk for GBS during the immunization campaign compared to earlier vaccination (<xref ref-type="bibr" rid="B73">73</xref>). In France, a study did not support the causation between GBS and H1N1 vaccination (<xref ref-type="bibr" rid="B80">80</xref>). Our pooled results show that the temporal coincidence of GBS in influenza vaccinees is not higher than that among general populations unvaccinated.</p>
<p>With regard to HPV, the debate on vaccine safety still exists, which remains one of the barriers to achievement of intensive global vaccination coverage. The Vaccine Adverse Event Reporting System (VAERS) in the United States reported a GBS rate of 0.2 per 100,000 dosages coincided with HPV vaccination from 2006 to 2008 (<xref ref-type="bibr" rid="B24">24</xref>). In a school-based HPV study in Canada, the overall background rate was 0.73/100,000 person-year for adolescents aged 7-17 years (<xref ref-type="bibr" rid="B81">81</xref>). Similarly, our study did not observe an increase in background rate of GBS after HPV vaccine administration.</p>
<p>The adjuvants of vaccines could affect the magnitude and quality of immune response. The AS03 adjuvant contains &#x3b1;-tocopherol, which might promote immune system activation in the nonregional lymph nodes (<xref ref-type="bibr" rid="B82">82</xref>), whereas MF59 might modulate cellular immune response at the injection site or regional lymph nodes (<xref ref-type="bibr" rid="B83">83</xref>). Moreover, an <italic>in vitro</italic> study demonstrated that &#x3b1;-tocopherol can raise the expression of hypocretin, leading to antigen presentation <italic>via</italic> human leukocyte antigens (<xref ref-type="bibr" rid="B84">84</xref>), which results in an autoimmune response, and damages hypocretin-producing neurons. In this current study, both vaccines adjuvanted with AS03 and those with MF59 have lower background rates of GBS than that of general populations, even though the background rate among individuals received vaccines with AS03 adjuvant is higher than that with MF59 adjuvant.</p>
<p>Our study has potential limitations that usually exist in observational studies and systematic reviews. Firstly, we aimed to summary data from studies that reported background rate of GBS in mass immunizations, which reflected the temporally coincidence of GBS in &#x201c;real world&#x201d;. In accordance with the predefined protocol, we did not include clinical trials that evaluate the safety of vaccines. Secondly, there was heterogeneity across original studies, which might limit the consolidation of the findings. Thirdly, most of original studies involved Caucasian participants, limiting the representability of our findings for other ethnic groups. Fourthly, as all the original studies are based on vaccine surveillance data, the methodological quality was not able to be evaluated. Fifthly, the increase in GBS reported in vaccination campaigns might result from the higher detection rate among vaccinees and increased reporting levels of GBS cases following receipt of vaccines.</p>
<p>In conclusion, our findings evidenced a mild increase in coincidental GBS during virus vaccination. We presented a reference for evaluation of the coincidental occurrence of GBS in mass vaccination campaigns, including SARS-CoV-2 vaccine.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>HH, YXW, and WW designed this study. FW, DW, YJW, and CL contributed to literature search, review, data extraction. YLZ, ZG, PL, and YCZ conducted statistical analyses. FW, DW, YJW, and CL wrote the manuscript. HH, YXW, and WW contributed to manuscript revision. All authors have reviewed and approved the final version of this manuscript.</p>
</sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s8" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank all the authors of the included studies of this meta-analysis.</p>
</ack>
<sec id="s9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.782198/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.782198/full#supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Forest plot of <bold>s</bold>ensitivity analysis.CI, confidence interval.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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