Assessing the State of Knowledge Regarding the Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review and Narrative Synthesis
Identifieur interne : 000C49 ( Pmc/Corpus ); précédent : 000C48; suivant : 000C50Assessing the State of Knowledge Regarding the Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review and Narrative Synthesis
Auteurs : Patrick Saunders-Hastings ; Jane Reisman ; Daniel KrewskiSource :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
Influenza pandemics occur when a novel influenza strain, to which humans are immunologically naïve, emerges to cause infection and illness on a global scale. Differences in the viral properties of pandemic strains, relative to seasonal ones, can alter the effectiveness of interventions typically implemented to control seasonal influenza burden. As a result, annual control activities may not be sufficient to contain an influenza pandemic.
This study seeks to inform pandemic policy and planning initiatives by reviewing the effectiveness of previous interventions to reduce pandemic influenza transmission and infection. Results will inform the planning and design of more focused in-depth systematic reviews for specific types of interventions, thus providing the most comprehensive and current understanding of the potential for alternative interventions to mitigate the burden of pandemic influenza.
A systematic review and narrative synthesis of existing systematic reviews and meta-analyses examining intervention effectiveness in containing pandemic influenza transmission was conducted using information collected from five databases (PubMed, Medline, Cochrane, Embase, and Cinahl/EBSCO). Two independent reviewers conducted study screening and quality assessment, extracting data related to intervention impact and effectiveness.
Most included reviews were of moderate to high quality. Although the degree of statistical heterogeneity precluded meta-analysis, the present systematic review examines the wide variety of interventions that can impact influenza transmission in different ways. While it appears that pandemic influenza vaccination provides significant protection against infection, there was insufficient evidence to conclude that antiviral prophylaxis, seasonal influenza cross-protection, or a range of non-pharmaceutical strategies would provide appreciable protection when implemented in isolation. It is likely that an optimal intervention strategy will employ a combination of interventions in a layered approach, though more research is needed to substantiate this proposition.
PROSPERO 42016039803
Url:
DOI: 10.1371/journal.pone.0168262
PubMed: 27977760
PubMed Central: 5158032
Links to Exploration step
PMC:5158032Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Assessing the State of Knowledge Regarding the Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review and Narrative Synthesis</title><author><name sortKey="Saunders Hastings, Patrick" sort="Saunders Hastings, Patrick" uniqKey="Saunders Hastings P" first="Patrick" last="Saunders-Hastings">Patrick Saunders-Hastings</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author><author><name sortKey="Reisman, Jane" sort="Reisman, Jane" uniqKey="Reisman J" first="Jane" last="Reisman">Jane Reisman</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author><author><name sortKey="Krewski, Daniel" sort="Krewski, Daniel" uniqKey="Krewski D" first="Daniel" last="Krewski">Daniel Krewski</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27977760</idno><idno type="pmc">5158032</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5158032</idno><idno type="RBID">PMC:5158032</idno><idno type="doi">10.1371/journal.pone.0168262</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000C49</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000C49</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Assessing the State of Knowledge Regarding the Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review and Narrative Synthesis</title><author><name sortKey="Saunders Hastings, Patrick" sort="Saunders Hastings, Patrick" uniqKey="Saunders Hastings P" first="Patrick" last="Saunders-Hastings">Patrick Saunders-Hastings</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author><author><name sortKey="Reisman, Jane" sort="Reisman, Jane" uniqKey="Reisman J" first="Jane" last="Reisman">Jane Reisman</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author><author><name sortKey="Krewski, Daniel" sort="Krewski, Daniel" uniqKey="Krewski D" first="Daniel" last="Krewski">Daniel Krewski</name><affiliation><nlm:aff id="aff001"></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Background</title><p>Influenza pandemics occur when a novel influenza strain, to which humans are immunologically naïve, emerges to cause infection and illness on a global scale. Differences in the viral properties of pandemic strains, relative to seasonal ones, can alter the effectiveness of interventions typically implemented to control seasonal influenza burden. As a result, annual control activities may not be sufficient to contain an influenza pandemic.</p></sec><sec id="sec002"><title>Purpose</title><p>This study seeks to inform pandemic policy and planning initiatives by reviewing the effectiveness of previous interventions to reduce pandemic influenza transmission and infection. Results will inform the planning and design of more focused in-depth systematic reviews for specific types of interventions, thus providing the most comprehensive and current understanding of the potential for alternative interventions to mitigate the burden of pandemic influenza.</p></sec><sec id="sec003"><title>Methods</title><p>A systematic review and narrative synthesis of existing systematic reviews and meta-analyses examining intervention effectiveness in containing pandemic influenza transmission was conducted using information collected from five databases (PubMed, Medline, Cochrane, Embase, and Cinahl/EBSCO). Two independent reviewers conducted study screening and quality assessment, extracting data related to intervention impact and effectiveness.</p></sec><sec id="sec004"><title>Results and Discussion</title><p>Most included reviews were of moderate to high quality. Although the degree of statistical heterogeneity precluded meta-analysis, the present systematic review examines the wide variety of interventions that can impact influenza transmission in different ways. While it appears that pandemic influenza vaccination provides significant protection against infection, there was insufficient evidence to conclude that antiviral prophylaxis, seasonal influenza cross-protection, or a range of non-pharmaceutical strategies would provide appreciable protection when implemented in isolation. It is likely that an optimal intervention strategy will employ a combination of interventions in a layered approach, though more research is needed to substantiate this proposition.</p></sec><sec id="sec005"><title>Trial Registration</title><p>PROSPERO 42016039803</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Longini, Im" uniqKey="Longini I">IM Longini</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Molinari, Na" uniqKey="Molinari N">NA Molinari</name></author><author><name sortKey="Ortega Sanchez, Ir" uniqKey="Ortega Sanchez I">IR Ortega-Sanchez</name></author><author><name sortKey="Messonnier, Ml" uniqKey="Messonnier M">ML Messonnier</name></author><author><name sortKey="Thompson, Ww" uniqKey="Thompson W">WW Thompson</name></author><author><name sortKey="Wortley, Pm" uniqKey="Wortley P">PM Wortley</name></author><author><name sortKey="Weintraub, E" uniqKey="Weintraub E">E 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27977760</article-id><article-id pub-id-type="pmc">5158032</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0168262</article-id><article-id pub-id-type="publisher-id">PONE-D-16-41053</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Infectious Diseases</subject><subj-group><subject>Viral Diseases</subject><subj-group><subject>Influenza</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Research Assessment</subject><subj-group><subject>Systematic Reviews</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Mathematical and Statistical Techniques</subject><subj-group><subject>Statistical Methods</subject><subj-group><subject>Meta-Analysis</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Physical Sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Statistics (Mathematics)</subject><subj-group><subject>Statistical Methods</subject><subj-group><subject>Meta-Analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject><subj-group><subject>Viral Vaccines</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject><subj-group><subject>Viral Vaccines</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccines</subject><subj-group><subject>Viral Vaccines</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Microbiology</subject><subj-group><subject>Virology</subject><subj-group><subject>Viral Vaccines</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Prophylaxis</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Prophylaxis</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Prophylaxis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccine Development</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccine Development</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Vaccine Development</subject></subj-group></subj-group></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Assessing the State of Knowledge Regarding the Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review and Narrative Synthesis</article-title><alt-title alt-title-type="running-head">Effectiveness of Interventions to Contain Pandemic Influenza Transmission: A Systematic Review</alt-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-3602-0842</contrib-id><name><surname>Saunders-Hastings</surname><given-names>Patrick</given-names></name><xref ref-type="aff" rid="aff001"></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib><contrib contrib-type="author"><name><surname>Reisman</surname><given-names>Jane</given-names></name><xref ref-type="aff" rid="aff001"></xref></contrib><contrib contrib-type="author"><name><surname>Krewski</surname><given-names>Daniel</given-names></name><xref ref-type="aff" rid="aff001"></xref></contrib></contrib-group><aff id="aff001"><addr-line>University of Ottawa, McLaughlin Centre for Population Health Risk Assessment, Ottawa, Ontario, Canada</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Cowling</surname><given-names>Benjamin J.</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>University of Hong Kong, HONG KONG</addr-line></aff><author-notes><fn fn-type="COI-statement" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con"><p><list list-type="simple"><list-item><p><bold>Conceptualization:</bold> PSH.</p></list-item><list-item><p><bold>Data curation:</bold> PSH.</p></list-item><list-item><p><bold>Formal analysis:</bold> PSH JR.</p></list-item><list-item><p><bold>Investigation:</bold> PSH JR.</p></list-item><list-item><p><bold>Methodology:</bold> PSH.</p></list-item><list-item><p><bold>Resources:</bold> PSH.</p></list-item><list-item><p><bold>Supervision:</bold> DK.</p></list-item><list-item><p><bold>Validation:</bold> PSH.</p></list-item><list-item><p><bold>Visualization:</bold> PSH.</p></list-item><list-item><p><bold>Writing – original draft:</bold> PSH.</p></list-item><list-item><p><bold>Writing – review & editing:</bold> PSH JR DK.</p></list-item></list></p></fn><corresp id="cor001">* E-mail: <email>psaun076@uottawa.ca</email></corresp></author-notes><pub-date pub-type="epub"><day>15</day><month>12</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>11</volume><issue>12</issue><elocation-id>e0168262</elocation-id><history><date date-type="received"><day>14</day><month>10</month><year>2016</year></date><date date-type="accepted"><day>28</day><month>11</month><year>2016</year></date></history><permissions><copyright-statement>© 2016 Saunders-Hastings et al</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Saunders-Hastings et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="pone.0168262.pdf"></self-uri><abstract><sec id="sec001"><title>Background</title><p>Influenza pandemics occur when a novel influenza strain, to which humans are immunologically naïve, emerges to cause infection and illness on a global scale. Differences in the viral properties of pandemic strains, relative to seasonal ones, can alter the effectiveness of interventions typically implemented to control seasonal influenza burden. As a result, annual control activities may not be sufficient to contain an influenza pandemic.</p></sec><sec id="sec002"><title>Purpose</title><p>This study seeks to inform pandemic policy and planning initiatives by reviewing the effectiveness of previous interventions to reduce pandemic influenza transmission and infection. Results will inform the planning and design of more focused in-depth systematic reviews for specific types of interventions, thus providing the most comprehensive and current understanding of the potential for alternative interventions to mitigate the burden of pandemic influenza.</p></sec><sec id="sec003"><title>Methods</title><p>A systematic review and narrative synthesis of existing systematic reviews and meta-analyses examining intervention effectiveness in containing pandemic influenza transmission was conducted using information collected from five databases (PubMed, Medline, Cochrane, Embase, and Cinahl/EBSCO). Two independent reviewers conducted study screening and quality assessment, extracting data related to intervention impact and effectiveness.</p></sec><sec id="sec004"><title>Results and Discussion</title><p>Most included reviews were of moderate to high quality. Although the degree of statistical heterogeneity precluded meta-analysis, the present systematic review examines the wide variety of interventions that can impact influenza transmission in different ways. While it appears that pandemic influenza vaccination provides significant protection against infection, there was insufficient evidence to conclude that antiviral prophylaxis, seasonal influenza cross-protection, or a range of non-pharmaceutical strategies would provide appreciable protection when implemented in isolation. It is likely that an optimal intervention strategy will employ a combination of interventions in a layered approach, though more research is needed to substantiate this proposition.</p></sec><sec id="sec005"><title>Trial Registration</title><p>PROSPERO 42016039803</p></sec></abstract><funding-group><funding-statement>The authors received no specific funding for this work.</funding-statement></funding-group><counts><fig-count count="1"></fig-count><table-count count="3"></table-count><page-count count="17"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>All relevant data are within the paper and its Supporting Information files.</p></notes></front><body><sec id="sec006"><title>1. Introduction</title><p>Each year, influenza infection is responsible for hundreds of thousands of hospitalizations, tens of thousands of deaths, and billions of dollars in healthcare costs and lost productivity in the United States alone [<xref rid="pone.0168262.ref001" ref-type="bibr">1</xref>, <xref rid="pone.0168262.ref002" ref-type="bibr">2</xref>]. At the same time, there is an ever-present threat of an antigenic shift occurring in the influenza virus, producing a new strain to which humans possess little or no immunity and causing an influenza pandemic with even more catastrophic potential. This has occurred four times in the past hundred years, at unpredictable intervals and with varying degrees of severity. The 1918 Spanish flu remains one of the worst public health catastrophes in recorded human history [<xref rid="pone.0168262.ref003" ref-type="bibr">3</xref>], resulting in between 20 and 50 million deaths globally [<xref rid="pone.0168262.ref004" ref-type="bibr">4</xref>–<xref rid="pone.0168262.ref007" ref-type="bibr">7</xref>].</p><p>Key concerns surrounding a future pandemic relate to surges in community illness attack rates and, by extension, hospitalization demand [<xref rid="pone.0168262.ref008" ref-type="bibr">8</xref>–<xref rid="pone.0168262.ref010" ref-type="bibr">10</xref>]. The just-in-time nature of resource delivery in hospitals could make it difficult to adapt to such surges [<xref rid="pone.0168262.ref011" ref-type="bibr">11</xref>, <xref rid="pone.0168262.ref012" ref-type="bibr">12</xref>]. Taken together, these risks could lead to disruption of health services, compounding the social, economic, and health burdens associated with a pandemic. The inherent uncertainty surrounding such pandemics presents challenges in mounting an appropriate and effective response. Integration of best practices as informed by past influenza pandemics may help in developing effective responses to future pandemics.</p><p>This study examines the effectiveness of any intervention to contain human transmission of influenza infection during a future pandemic of unknown severity. To accomplish this, we conducted a systematic review of existing systematic reviews (SR) and meta-analyses (MA) on pandemic influenza interventions. Recognizing that there is substantial variation in where, how, and when interventions are implemented, we sought to better understand the impact of such interventions. Given continuing fears surrounding the threat of avian influenza virus (H5N1 and H7N2) infection in poultry and humans [<xref rid="pone.0168262.ref013" ref-type="bibr">13</xref>, <xref rid="pone.0168262.ref014" ref-type="bibr">14</xref>], increasing viral diversity of influenza strains circulating in swine populations [<xref rid="pone.0168262.ref015" ref-type="bibr">15</xref>], and escalating human-animal proximity and interaction [<xref rid="pone.0168262.ref016" ref-type="bibr">16</xref>, <xref rid="pone.0168262.ref017" ref-type="bibr">17</xref>], this article provides timely insight to support future pandemic planning efforts.</p></sec><sec id="sec007"><title>2. Methods</title><sec id="sec008"><title>2.1 Overview</title><p>The review methodology was developed in keeping with PRISMA [<xref rid="pone.0168262.ref018" ref-type="bibr">18</xref>] guidelines for systematic reviews (<xref ref-type="supplementary-material" rid="pone.0168262.s001">S1 Table</xref>); a protocol developed <italic>a priori</italic> is published in the National Institute for Health Research International Prospective Register of Systematic Reviews (PROSPERO). Briefly, we conducted a systematic review of existing SRs and MAs dealing with pharmaceutical and non-pharmaceutical interventions to interrupt pandemic influenza transmission and infection. Pharmaceutical interventions include vaccination policies and antiviral use. Non-pharmaceutical interventions include school and work closures, social distancing and contact reduction, use of masks, hand hygiene, and cough etiquette. Where feasible and appropriate, differential effectiveness according to age was noted during data extraction.</p></sec><sec id="sec009"><title>2.2 Search strategy</title><p>Systematic literature searches were conducted on July 5, 2016 using PubMed (all dates), Medline (1946-present), Embase (1947-present), Cochrane Library (all dates) and the Cumulative Index to Nursing and Allied Health (CINAHL; all dates). The general search strategy is presented in <xref rid="pone.0168262.t001" ref-type="table">Table 1</xref>, with database-specific variations documented in the supplemental material (<xref ref-type="supplementary-material" rid="pone.0168262.s002">S2 Table</xref>).</p><table-wrap id="pone.0168262.t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168262.t001</object-id><label>Table 1</label><caption><title>Systematic review search strategy as executed in Medline.</title></caption><alternatives><graphic id="pone.0168262.t001g" xlink:href="pone.0168262.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><tbody><tr><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">Influenza, human/</td></tr><tr><td align="left" rowspan="1" colspan="1">2</td><td align="left" rowspan="1" colspan="1">Exp Influenzavirus A/</td></tr><tr><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">1 or 2</td></tr><tr><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">Pandemics/</td></tr><tr><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">(pandemic* adj3 (influenza* or flu* or grippe)).tw.</td></tr><tr><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">4 or 5</td></tr><tr><td align="left" rowspan="1" colspan="1">7</td><td align="left" rowspan="1" colspan="1">3 and 6</td></tr><tr><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">Systematic review.tw.</td></tr><tr><td align="left" rowspan="1" colspan="1">9</td><td align="left" rowspan="1" colspan="1">Meta-analysis.tw.</td></tr><tr><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">Meta analysis.tw.</td></tr><tr><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">Or/8-10</td></tr><tr><td align="left" rowspan="1" colspan="1">12</td><td align="left" rowspan="1" colspan="1">7 and 11</td></tr></tbody></table></alternatives></table-wrap><p>The search excluded research on seasonal influenza and non-influenza disease outbreaks, which would both be of reduced applicability in studying interventions specifically targeting pandemic influenza. The search was conducted on 5 July, 2016, with no language or date restrictions. In cases where a full report was not available, we contacted the authors to request any manuscripts based on the identified abstract. The search was complemented by searching the reference lists of included reviews and <italic>ad hoc</italic> grey literature searches using Google Scholar.</p></sec><sec id="sec010"><title>2.3 Eligibility criteria and study inclusion</title><p>Articles were imported into Endnote X7.5<sup>™</sup> and were subjected to blind title and abstract appraisal by two independent reviewers. Discrepancies automatically pushed articles to full review. Full texts were sought for articles retained for full review, and again subjected to blind review by two independent reviewers. Conflicts were resolved by consensus and third-party arbitration as necessary. Articles were excluded if they met one of the <italic>a priori</italic> exclusion criteria listed in <xref rid="pone.0168262.t002" ref-type="table">Table 2</xref>. Studies were considered to address an influenza “pandemic” if they assessed an intervention implemented during the first or second wave of a pandemic, after which the annually circulating strain was viewed as a “seasonal” influenza.</p><table-wrap id="pone.0168262.t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168262.t002</object-id><label>Table 2</label><caption><title>Exclusion criteria for systematic reviews and meta-analyses of pandemic influenza interventions.</title></caption><alternatives><graphic id="pone.0168262.t002g" xlink:href="pone.0168262.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" style="background-color:#E1E1E1" rowspan="1" colspan="1">Criterion</th><th align="center" style="background-color:#E1E1E1" rowspan="1" colspan="1">Rationale</th></tr></thead><tbody><tr><td align="center" rowspan="1" colspan="1">Does not deal with human populations</td><td align="center" rowspan="1" colspan="1">Animal models may not give accurate representation of impact in humans</td></tr><tr><td align="center" rowspan="1" colspan="1">Does not include studies on pandemic influenza, but deals exclusively with seasonal influenza or other condition</td><td align="center" rowspan="1" colspan="1">Experience of pandemic influenza may not reflect that of seasonal influenza</td></tr><tr><td align="center" rowspan="1" colspan="1">Exclusively reviews in vivo and/or in vitro studies, or mathematical modeling studies</td><td align="center" rowspan="1" colspan="1">Purpose of study is to examine the behaviour of influenza within human populations, rather than genetic considerations</td></tr><tr><td align="center" rowspan="1" colspan="1">Does not review an intervention to contain pandemic influenza infection</td><td align="center" rowspan="1" colspan="1">Purpose of this review is to quantify intervention effectiveness</td></tr><tr><td align="center" rowspan="1" colspan="1">Does not use infection/transmission risk/rate as an outcome measure</td><td align="center" rowspan="1" colspan="1">Purpose of this review is to quantify intervention potential to contain pandemic transmission</td></tr><tr><td align="center" rowspan="1" colspan="1">Only the abstract is available</td><td align="center" rowspan="1" colspan="1">Must be able to assess article in its entirety</td></tr><tr><td align="center" rowspan="1" colspan="1">Not a peer-reviewed systematic review or meta-analysis article</td><td align="center" rowspan="1" colspan="1">Seeking to compare over-arching intervention patterns across heterogeneous settings</td></tr></tbody></table></alternatives></table-wrap></sec><sec id="sec011"><title>2.4 Data extraction and analysis</title><p>Data from retained articles were extracted to a piloted Excel spreadsheet by two independent reviewers. Spreadsheet categories offer information pertaining to the study populations, interventions, and outcomes. The principal summary measures of relative intervention effect are risk and odds ratios. Methodological heterogeneity of the included systematic reviews—particularly with respect to research questions, inclusion criteria, intervention specifics, and outcome measures—precluded pooling of data for a new meta-analysis, as well as the use of funnel plots to assess the potential for publication bias. Instead, a narrative synthesis is presented for each of the interventions evaluated in a past review, highlighting current knowledge and unfilled data gaps.</p></sec><sec id="sec012"><title>2.5 Quality assessment</title><p>The quality of articles retained for data extraction was assessed by two independent reviewers using the AMSTAR tool (<xref ref-type="supplementary-material" rid="pone.0168262.s003">S3 Table</xref>). The 11-item questionnaire was developed for application across a broad range of public health interventions [<xref rid="pone.0168262.ref019" ref-type="bibr">19</xref>, <xref rid="pone.0168262.ref020" ref-type="bibr">20</xref>] and has been widely applied over the past decade [<xref rid="pone.0168262.ref021" ref-type="bibr">21</xref>, <xref rid="pone.0168262.ref022" ref-type="bibr">22</xref>], including for reviews of seasonal influenza interventions [<xref rid="pone.0168262.ref023" ref-type="bibr">23</xref>–<xref rid="pone.0168262.ref025" ref-type="bibr">25</xref>]. An SR can achieve a maximum score of 10, and an MA a maximum score of 11. Following the approach set out in past publications [<xref rid="pone.0168262.ref021" ref-type="bibr">21</xref>, <xref rid="pone.0168262.ref023" ref-type="bibr">23</xref>], reviews receiving a score of 9–11 were classified as high quality, 5–8 as moderate-quality, and 0–4 as low-quality. Inter-reviewer disagreements regarding scoring were resolved by consensus only when they resulted in differential quality categorization (low, moderate, high). Although review quality was not used as an exclusion criterion, the level of evidence was noted and integrated into a discussion of results and formulation of conclusions.</p></sec></sec><sec id="sec013"><title>3. Results</title><p>A total of 348 citations were retrieved from the execution of the search strategy discussed. Following the removal of duplicates, 185 articles were subject to title and abstract review, with 64 retained for full review. An additional 9 articles were identified from searches of reference lists and the grey literature; all were reviewed in full. Of these 73 articles, 17 were selected for quality assessment and data extraction. <xref ref-type="fig" rid="pone.0168262.g001">Fig 1</xref> summarizes the study selection process; articles omitted during full review are summarized in <xref ref-type="supplementary-material" rid="pone.0168262.s004">S4 Table</xref>, along with the reason for their omission.</p><fig id="pone.0168262.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168262.g001</object-id><label>Fig 1</label><caption><title>Systematic review flow diagram.</title></caption><graphic xlink:href="pone.0168262.g001"></graphic></fig><sec id="sec014"><title>3.1. Included reviews</title><p>In total, 17 reviews were retained, covering six types of intervention to prevent pandemic influenza infection. Eight [<xref rid="pone.0168262.ref026" ref-type="bibr">26</xref>–<xref rid="pone.0168262.ref033" ref-type="bibr">33</xref>] review the effectiveness of pandemic influenza vaccine in preventing influenza and influenza-like illness (ILI); three [<xref rid="pone.0168262.ref034" ref-type="bibr">34</xref>–<xref rid="pone.0168262.ref036" ref-type="bibr">36</xref>] examine the impact of antivirals; two [<xref rid="pone.0168262.ref032" ref-type="bibr">32</xref>, <xref rid="pone.0168262.ref037" ref-type="bibr">37</xref>] review the effectiveness of seasonal influenza vaccines in preventing pandemic influenza infection; two evaluate the impact of personal protective measures (hand-washing, mask use) [<xref rid="pone.0168262.ref038" ref-type="bibr">38</xref>, <xref rid="pone.0168262.ref039" ref-type="bibr">39</xref>]; one [<xref rid="pone.0168262.ref040" ref-type="bibr">40</xref>] analyzes the impact of school closure; and another [<xref rid="pone.0168262.ref041" ref-type="bibr">41</xref>] reviews the efficacy of traditional Chinese medicine (TCM). One review [<xref rid="pone.0168262.ref042" ref-type="bibr">42</xref>] evaluates the economic viability of a wide range of pharmaceutical and non-pharmaceutical measures, concluding that social distancing, antiviral prophylaxis, school closure, and vaccination are likely to be cost-effective in all settings, while quarantine is never cost-effective. Across these reviews, 33 meta-analyses of intervention impact were conducted. The characteristics of individual reviews are summarized in <xref rid="pone.0168262.t003" ref-type="table">Table 3</xref>, with results and associated implications for intervention impact described in subsequent intervention-specific subsections. Tables summarizing the results of the quantitative analyses performed in the included reviews are available in the appendices for pandemic vaccination (<xref ref-type="supplementary-material" rid="pone.0168262.s005">S5 Table</xref>), antiviral prophylaxis and treatment (<xref ref-type="supplementary-material" rid="pone.0168262.s006">S6 Table</xref>), seasonal influenza vaccination (<xref ref-type="supplementary-material" rid="pone.0168262.s007">S7 Table</xref>), and personal protective measures (<xref ref-type="supplementary-material" rid="pone.0168262.s008">S8 Table</xref>). Results from the reviews on school closure and TCM are not reported in Tables, as only a single review was available for each.</p><table-wrap id="pone.0168262.t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168262.t003</object-id><label>Table 3</label><caption><title>Summary of reviews included in the systematic review of pandemic influenza interventions.</title></caption><alternatives><graphic id="pone.0168262.t003g" xlink:href="pone.0168262.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Systematic Review</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Population</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Total Studies (N)</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Pandemic Studies for Meta-analysis</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Pandemic Meta-analysis Population Size (N)</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Intervention</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Outcome</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">AMSTAR Quality (low, moderate, high)</th><th align="left" style="background-color:#E1E1E1" rowspan="1" colspan="1">Quality of Evidence<xref ref-type="table-fn" rid="t003fn001">*</xref></th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Breteler et al., 2013</td><td align="left" rowspan="1" colspan="1">Schoolchildren in China during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">41</td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">95,244</td><td align="left" rowspan="1" colspan="1">Vaccination (two doses of PANFLU1)</td><td align="left" rowspan="1" colspan="1">Laboratory-confirmed influenza</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Only a single study was retrieved</td></tr><tr><td align="left" rowspan="1" colspan="1">Chien et al., 2010</td><td align="left" rowspan="1" colspan="1">Civilian and military populations during 1918 pandemic</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1">1,956,492</td><td align="left" rowspan="1" colspan="1">Mixed killed bacterial vaccines</td><td align="left" rowspan="1" colspan="1">Influenza incidence</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">Significant heterogeneity among studies; low scientific quality of 1918 vaccine studies; inconsistent reporting of influenza incidence</td></tr><tr><td align="left" rowspan="1" colspan="1">Demicheli et al., 2014</td><td align="left" rowspan="1" colspan="1">Healthy adults and pregnant women during 1968 pandemic</td><td align="left" rowspan="1" colspan="1">90</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">33,768</td><td align="left" rowspan="1" colspan="1">1968 and 2009 pandemic vaccines</td><td align="left" rowspan="1" colspan="1">Influenza or ILI cases</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Methodological quality was rated as good for 10%; high risk of bias for 20%; impact of bias could not be determined for 70%</td></tr><tr><td align="left" rowspan="1" colspan="1">Fielding et al., 2014</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">1,527</td><td align="left" rowspan="1" colspan="1">Oseltamivir</td><td align="left" rowspan="1" colspan="1">Duration of viral shedding</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">Significant heterogeneity noted; prevented meta-analysis and limits scope</td></tr><tr><td align="left" rowspan="1" colspan="1">Jackson et al., 2013</td><td align="left" rowspan="1" colspan="1">General population during 1918, 1968, and 2009 pandemics</td><td align="left" rowspan="1" colspan="1">79</td><td align="left" rowspan="1" colspan="1">57</td><td align="left" rowspan="1" colspan="1">N/A</td><td align="left" rowspan="1" colspan="1">School closure</td><td align="left" rowspan="1" colspan="1">Cumulative and peak influenza attack rates</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">Significant heterogeneity noted; prevented meta-analysis and limits scope</td></tr><tr><td align="left" rowspan="1" colspan="1">Jefferson et al., 2008</td><td align="left" rowspan="1" colspan="1">General population during 1968 pandemic</td><td align="left" rowspan="1" colspan="1">22</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">12,575</td><td align="left" rowspan="1" colspan="1">Amantadine prophylaxis</td><td align="left" rowspan="1" colspan="1">Influenza or ILI cases</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Significant heterogeneity noted; little information on randomization procedures for studies reviewed</td></tr><tr><td align="left" rowspan="1" colspan="1">Jefferson et al., 2014</td><td align="left" rowspan="1" colspan="1">Healthy children (under 16) during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">75</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">2009 pandemic vaccine</td><td align="left" rowspan="1" colspan="1">Influenza infection</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Generally poor methodological quality of studies included; poor reporting and high risk of bias</td></tr><tr><td align="left" rowspan="1" colspan="1">Li et al., 2016</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">30</td><td align="left" rowspan="1" colspan="1">12</td><td align="left" rowspan="1" colspan="1">1,469</td><td align="left" rowspan="1" colspan="1">Traditional Chinese medicine</td><td align="left" rowspan="1" colspan="1">Duration of viral shedding</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Small sample size limits statistical power</td></tr><tr><td align="left" rowspan="1" colspan="1">Li et al., 2015</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">135,347</td><td align="left" rowspan="1" colspan="1">Seasonal influenza vaccine</td><td align="left" rowspan="1" colspan="1">Pandemic influenza infection</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">12 of 28 studies had high risk of bias; significant heterogeneity noted among case-control studies</td></tr><tr><td align="left" rowspan="1" colspan="1">Manzoli et al., 2011</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">18</td><td align="left" rowspan="1" colspan="1">18,444</td><td align="left" rowspan="1" colspan="1">2009 pandemic vaccine</td><td align="left" rowspan="1" colspan="1">Influenza seroconversion</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">Most studies included were sponsored by companies developing the vaccine under study</td></tr><tr><td align="left" rowspan="1" colspan="1">Mizumoto et al., 2013</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">17</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Mass antiviral prophylaxis and contact tracing</td><td align="left" rowspan="1" colspan="1">Secondary infection risk</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">Heterogeneous, arbitrary definitions of "contact", case ascertainment, study setting, and treatment duration</td></tr><tr><td align="left" rowspan="1" colspan="1">Mukerji et al., 2015</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">7</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">N-95 masks</td><td align="left" rowspan="1" colspan="1">Economic benefit</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Results are of limited utility; limited inclusion of clinical data to inform effectiveness estimates</td></tr><tr><td align="left" rowspan="1" colspan="1">Osterholm et al., 2012</td><td align="left" rowspan="1" colspan="1">Canadian and European general population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">2009 pandemic vaccine</td><td align="left" rowspan="1" colspan="1">Laboratory-confirmed influenza</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">All studies were observational and of low statistical power</td></tr><tr><td align="left" rowspan="1" colspan="1">Perez Velasco et al., 2012</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">44</td><td align="left" rowspan="1" colspan="1">44</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Any</td><td align="left" rowspan="1" colspan="1">Cost-effectiveness, utility, or benefit</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Evidence is of low quality and generally inconclusive; variations in intervention implementation</td></tr><tr><td align="left" rowspan="1" colspan="1">Wong et al., 2014</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">149</td><td align="left" rowspan="1" colspan="1">Hand hygiene and facemask</td><td align="left" rowspan="1" colspan="1">Laboratory-confirmed influenza or ILI</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Small sample size of included trial lead to significant imprecision and limited generalizability</td></tr><tr><td align="left" rowspan="1" colspan="1">Yin et al., 2012</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">3,011,641</td><td align="left" rowspan="1" colspan="1">Seasonal and pandemic influenza vaccines</td><td align="left" rowspan="1" colspan="1">Laboratory-confirmed influenza</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Most studies included were of low or moderate quality; significant heterogeneity noted</td></tr><tr><td align="left" rowspan="1" colspan="1">Yin et al., 2011</td><td align="left" rowspan="1" colspan="1">General population during 2009 pandemic</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">17,921</td><td align="left" rowspan="1" colspan="1">Pandemic influenza vaccine</td><td align="left" rowspan="1" colspan="1">Influenza seroconversion</td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">Nine of 16 studies were of low quality; significant heterogeneity noted</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t003fn001"><p>* Quality of studies is reported as indicated by the quality assessment of the original authors.</p></fn></table-wrap-foot></table-wrap></sec><sec id="sec015"><title>3.2 Quality assessment</title><p>Inter-reviewer agreement on the quality of the systematic reviews assessed was strong. Of the 17 reviews collected, 10 were rated as being of high methodological quality; 6 were of moderate quality; and one was of low quality (<xref ref-type="supplementary-material" rid="pone.0168262.s009">S9 Table</xref>). It should be noted, however, that the quality of the systematic reviews alone does not suggest that the conclusions drawn can be viewed with a high degree of certainty. Rather, insufficient data, appreciable heterogeneity, and wide confidence intervals were noted across many of the reviews. Comments on the quality of evidence obtained from the review, as well as an independent assessment of the methodological rigor of that review, are also included in <xref rid="pone.0168262.t003" ref-type="table">Table 3</xref>.</p></sec><sec id="sec016"><title>3.3. Pandemic influenza vaccine effectiveness</title><p>Of the eight reviews assessing the effectiveness of pandemic influenza vaccines, seven report on the effectiveness of the 2009 pH1N1 vaccine [<xref rid="pone.0168262.ref026" ref-type="bibr">26</xref>, <xref rid="pone.0168262.ref028" ref-type="bibr">28</xref>–<xref rid="pone.0168262.ref033" ref-type="bibr">33</xref>], one reports on the 1968 pandemic vaccine [<xref rid="pone.0168262.ref028" ref-type="bibr">28</xref>], and one reports on the efficacy of killed bacterial vaccines used during the 1918 pandemic [<xref rid="pone.0168262.ref027" ref-type="bibr">27</xref>]. With few exceptions—notably the 1918 bacterial vaccines, used prior to identification of the influenza virus—there appears to be a general consensus that pandemic vaccines were effective across age groups in preventing pandemic influenza infection.</p><p>With regard to the 2009 H1N1 pandemic, Breteler <italic>et al</italic>. [<xref rid="pone.0168262.ref026" ref-type="bibr">26</xref>] report on a study of schoolchildren in China [<xref rid="pone.0168262.ref043" ref-type="bibr">43</xref>], where a vaccine effectiveness of 87% (95% CI: 75%-93%) was found. The review by Demicheli <italic>et al</italic>. [<xref rid="pone.0168262.ref028" ref-type="bibr">28</xref>] included a single pandemic study [<xref rid="pone.0168262.ref044" ref-type="bibr">44</xref>], which estimated a risk ratio of 0.11 (95% CI 0.06–0.21) associated with the 2009 inactivated pandemic vaccine in pregnant Japanese women. A 2014 review by Jefferson <italic>et al</italic>. [<xref rid="pone.0168262.ref029" ref-type="bibr">29</xref>] did not pool the results of five pandemic vaccination studies [<xref rid="pone.0168262.ref045" ref-type="bibr">45</xref>–<xref rid="pone.0168262.ref049" ref-type="bibr">49</xref>], but reported a consensus across studies that pandemic vaccines provided a significant protective effect against infection, with vaccine efficiency ranging from 71.9%-96%. Similarly, Osterholm <italic>et al</italic>. [<xref rid="pone.0168262.ref031" ref-type="bibr">31</xref>] did not pool the results of five observational studies of the effectiveness of monovalent pandemic H1N1 vaccination, but reported a median effectiveness of 69% (range: 60%-93%). Yin <italic>et al</italic>. [<xref rid="pone.0168262.ref032" ref-type="bibr">32</xref>] examined 11 case-control studies reporting on pandemic influenza vaccination and laboratory-confirmed influenza, calculating a combined odds ratio of 0.14 (95% CI 0.07–0.27).</p><p>Both Manzoli <italic>et al</italic>. [<xref rid="pone.0168262.ref030" ref-type="bibr">30</xref>] and Yin <italic>et al</italic>. [<xref rid="pone.0168262.ref033" ref-type="bibr">33</xref>] reviewed the seroprotective effect of different H1N1 pandemic vaccines. Manzoli <italic>et al</italic>. [<xref rid="pone.0168262.ref030" ref-type="bibr">30</xref>] found a significant impact of higher vaccine concentrations for single-dose vaccines (RR of seroconversion 1.05; 95% CI 1.03–1.07 per dose step increase), but no significant effects were associated with higher concentrations in two-dose vaccines, administration of a second dose (except in children), or addition of vaccine adjuvants such as aluminum. Yin <italic>et al</italic>. [<xref rid="pone.0168262.ref033" ref-type="bibr">33</xref>] did not report quantitative effects on infection, but concluded that pandemic vaccination significantly impacted seroconversion, regardless of administration of one or two doses or the addition of aluminum hydroxide as an adjuvant, neither of which significantly improved the immune response.</p><p>Demicheli <italic>et al</italic>. [<xref rid="pone.0168262.ref028" ref-type="bibr">28</xref>] reported that all forms of the 1968 inactivated vaccine were effective in preventing both confirmed influenza and ILI. While the effect was greater for influenza than ILI, it should be noted that all results for confirmed influenza derived from a single study [<xref rid="pone.0168262.ref050" ref-type="bibr">50</xref>]. The authors found no significant effect of live aerosol vaccines. Lastly, Chien <italic>et al</italic>. [<xref rid="pone.0168262.ref027" ref-type="bibr">27</xref>] evaluated the effectiveness of mixed killed bacterial vaccines in reducing influenza incidence during the 1918 pandemic, finding no significant protective effect; this is not surprising given that bacterial vaccines are likely to be ineffective against viral pathogens.</p></sec><sec id="sec017"><title>3.4 Antiviral effectiveness</title><p>Three systematic reviews evaluated studies on the role of antiviral prophylaxis and treatment in reducing pandemic influenza infection [<xref rid="pone.0168262.ref034" ref-type="bibr">34</xref>–<xref rid="pone.0168262.ref036" ref-type="bibr">36</xref>]. Fielding <italic>et al</italic>. [<xref rid="pone.0168262.ref034" ref-type="bibr">34</xref>] found that oseltamivir treatment received within 48 hours of symptom onset tended to reduce the duration of viral shedding (3–5 days) relative to no treatment (4–9 days) and to treatment received over 48 hours after onset (5–7 days). This contraction of the infectious period of the index case could reduce secondary infections [<xref rid="pone.0168262.ref034" ref-type="bibr">34</xref>]. Mizumoto <italic>et al</italic>. [<xref rid="pone.0168262.ref036" ref-type="bibr">36</xref>] reported that secondary infection rates generally decreased in situations where mass oseltamivir prophylaxis had been employed, with a median secondary infection risk of 2.1% (relative to 16.6% among those not receiving prophylaxis). In both cases differences in study design, exposure, and treatment strategies precluded pooled estimates of effectiveness. Jefferson <italic>et al</italic>. [<xref rid="pone.0168262.ref035" ref-type="bibr">35</xref>] evaluated the effectiveness of amantadine prophylaxis during the 1968 influenza pandemic, reporting significant protective effects against confirmed influenza (RR 0.27; 95% CI 0.17–0.46) and ILI (RR: 0.78; 95% CI 0.74–0.83). However, the authors point out that amantadine significantly increased adverse gastrointestinal and nervous system effects, suggesting that they should only be used in emergency situations, and may not be appropriate for mass prophylaxis.</p></sec><sec id="sec018"><title>3.5 Seasonal influenza vaccine effectiveness</title><p>Two systematic reviews, both from the 2009 pandemic, report on the cross-protection of seasonal influenza vaccines against pandemic influenza infection for the three Northern hemisphere influenza seasons between 2007 and 2010 and the two Southern hemisphere influenza seasons between 2008 and 2009 [<xref rid="pone.0168262.ref032" ref-type="bibr">32</xref>, <xref rid="pone.0168262.ref037" ref-type="bibr">37</xref>]. Li <italic>et al</italic>. [<xref rid="pone.0168262.ref037" ref-type="bibr">37</xref>] report a non-significant risk increase across four randomized control trials (RR: 1.13; 95% CI 0.56–2.29), though we argue that these findings should be interpreted with caution, due to small sample size (n = 1,515). They also report a non-significant protective effect across 16 case-control studies (n = 40,868, OR: 0.80; 95% CI 0.61–1.05). Yin <italic>et al</italic>. [<xref rid="pone.0168262.ref032" ref-type="bibr">32</xref>] report a similar, non-significant protective effect across 11 case-control studies (n = 31,699, OR: 0.81; 95% CI 0.58–1.13), but found a significant effect when five studies with a high risk of bias were excluded (n = 28,292; OR: 0.66; 95% CI 0.48–0.91). Taken together, these two reviews suggest that seasonal influenza vaccination had a moderate, though non-significant effect in protecting from influenza infection during the 2009 pandemic.</p></sec><sec id="sec019"><title>3.6 Personal protective measure effectiveness</title><p>Of the two systematic reviews analyzing personal protective measures an influenza epidemic, one [<xref rid="pone.0168262.ref039" ref-type="bibr">39</xref>] reported on its effectiveness in preventing infection, while the other [<xref rid="pone.0168262.ref038" ref-type="bibr">38</xref>] discussed its economic benefit. Wong <italic>et al</italic>. reviewed ten studies of hand hygiene and facemask use in developed countries, and obtained an insignificant estimate of risk reduction associated with hand hygiene alone (RR: 0.82; 95% CI 0.66–1.02) but a significant risk reduction when hand hygiene was practiced in conjunction with facemask use (RR: 0.73; 95% CI 0.53–0.99). However, only one of these ten studies [<xref rid="pone.0168262.ref051" ref-type="bibr">51</xref>] was performed in a pandemic setting, with the other nine dealing instead with seasonal influenza control. With small sample size limiting generalizability (n = 149), insignificant risk reductions associated with hand hygiene and facemask use for laboratory-confirmed influenza (RR: 0.64; 95% CI 0.32–1.29) and influenza-like illness (RR: 0.52; 95% CI 0.21–1.29) were found in the pandemic study [<xref rid="pone.0168262.ref051" ref-type="bibr">51</xref>]. Mukerji <italic>et al</italic>. [<xref rid="pone.0168262.ref038" ref-type="bibr">38</xref>] do not report quantitative data on the effectiveness of interventions in preventing infection, but reviewed past cost-effectiveness studies of mask use. Noting important limitations in the studies reviewed, these authors suggest that masks and respirators may be cost-effective, though there is insufficient data to inform more specific interventions.</p></sec><sec id="sec020"><title>3.7 School closure effectiveness</title><p>A single systematic review [<xref rid="pone.0168262.ref040" ref-type="bibr">40</xref>] assessed the impact of school closure across 57 pandemic studies from the 1918, 1968, and 2009 pandemics. Despite reporting a contact rate reduction of 30%-78% in school-aged children, statistical and methodological differences precluded the authors from pooling data for meta-analysis, comparing of optimal intervention strategies, or commenting on statistical significance.</p></sec><sec id="sec021"><title>3.8 Traditional chinese medicine effectiveness</title><p>A review by Li <italic>et al</italic>. [<xref rid="pone.0168262.ref041" ref-type="bibr">41</xref>] examined the effect of Chinese medicines, herbs, extracts, or other ingredients in reducing the duration of viral shedding in individuals infected with pandemic H1N1, both alone and in combination with oseltamivir treatment. In a meta-analysis of 12 studies (n = 1,469), using oseltamivir treatment as a control, the mean duration of viral shedding did not differ significantly between the TCM and oseltamivir treatment groups (mean difference 0.07 days; 95% CI -0.07–0.21). However, a significant reduction in duration of viral shedding was noted in a comparison between a group receiving both TCM and oseltamivir and an oseltamivir control (mean difference −0.52 days; 95% CI −0.96–−0.09).</p></sec></sec><sec id="sec022"><title>4. Discussion</title><p>The present systematic review is the first assess the state of knowledge regarding interventions to prevent pandemic influenza transmission as reported in existing systematic reviews and meta-analyses. This is an important information gap, as the high degree of uncertainty and heterogeneity regarding pandemic outbreaks and response suggests value in analyzing overarching trends in intervention effectiveness. Variability in pandemic environments, including the degree of infectiousness, population demographics and susceptibility, and intervention strategies and timing, inhibit the generalizability of effectiveness measures reported from a small number of studies to other settings and future pandemics.</p><p>Some authors [<xref rid="pone.0168262.ref035" ref-type="bibr">35</xref>, <xref rid="pone.0168262.ref052" ref-type="bibr">52</xref>] have proposed that intervention effectiveness can be expected to mirror what is observed during seasonal influenza epidemics. This viewpoint is problematic for several reasons. First, seasonal influenza epidemics tend not to be considered as emergency situations, and extreme response measures are not employed [<xref rid="pone.0168262.ref042" ref-type="bibr">42</xref>]. This limits the ability to evaluate the effectiveness of interventions such as school closure, facemask use, or quarantine of infected individuals, which would be inappropriate during standard seasonal influenza seasons. As a consequence, there is no conclusive evidence on the impact of these strategies: there was, in fact, substantial uncertainty about which measures to implement during the 2009 pandemic [<xref rid="pone.0168262.ref053" ref-type="bibr">53</xref>, <xref rid="pone.0168262.ref054" ref-type="bibr">54</xref>]. Second, the assertion that seasonal influenza research remains relevant to pandemic influenza situations remains controversial [<xref rid="pone.0168262.ref055" ref-type="bibr">55</xref>]. Some suggest that intervention effectiveness may increase in pandemic situations, due to media attention and public anxiety increasing rates of adherence [<xref rid="pone.0168262.ref056" ref-type="bibr">56</xref>]; this was the case during the SARS epidemic [<xref rid="pone.0168262.ref053" ref-type="bibr">53</xref>, <xref rid="pone.0168262.ref057" ref-type="bibr">57</xref>]. Additionally, the uncertain timing of pandemic influenza outbreaks, relative to usual influenza seasons, may alter non-pharmaceutical intervention effectiveness by impacting the relative importance of different modes of transmission, which have been suggested to vary with ambient temperature and relative humidity [<xref rid="pone.0168262.ref039" ref-type="bibr">39</xref>, <xref rid="pone.0168262.ref058" ref-type="bibr">58</xref>]. In short, there is a need for more targeted reviews examining the empirical data from past pandemic events, where high viral loads, transmission rates, and public anxiety [<xref rid="pone.0168262.ref055" ref-type="bibr">55</xref>, <xref rid="pone.0168262.ref059" ref-type="bibr">59</xref>] may have impacted the effectiveness of interventions that were implemented.</p><p>The results of this review were insufficient to draw concrete conclusions on the effectiveness of most interventions. Of the 17 reviews included, only seven specifically reviewed pandemic influenza situations, while the other ten conducted subgroup analyses: two of these [<xref rid="pone.0168262.ref026" ref-type="bibr">26</xref>, <xref rid="pone.0168262.ref039" ref-type="bibr">39</xref>] found only a single pandemic study that met their inclusion criteria. The most commonly investigated intervention was pandemic influenza vaccination, which was found to be highly effective in preventing pandemic influenza infection and ILI. This is not surprising, as the 2009 pandemic vaccine was a very close match with the circulating strain [<xref rid="pone.0168262.ref031" ref-type="bibr">31</xref>]. Rather, the concern with pandemic vaccines is that they may not be available in time for the early stages of a pandemic, as vaccine production, development and distribution can take over six months [<xref rid="pone.0168262.ref060" ref-type="bibr">60</xref>, <xref rid="pone.0168262.ref061" ref-type="bibr">61</xref>]. The few reviews of the interventions that may be employed in the interim reported mixed results. Where measures of statistical significance were reported, only antiviral prophylaxis with amantadine, a drug with known adverse side effects, demonstrated a significant protective effect. A lack of primary data precluded reporting of statistical significance for non-pharmaceutical measures such as hand hygiene, facemask use, and school closure. It is likely that the most impactful and cost-effective approach to interrupting pandemic influenza transmission involves a layered approach combining multiple pharmaceutical and non-pharmaceutical intervention strategies, although this notion is not well explored in the quantitative analysis of included reviews. The overall lack of quantitative primary data on intervention effectiveness supports the crucial role of mathematical modelling in charting pandemic transmission dynamics and supporting the assessment of public health interventions under conditions of uncertainty.</p><p>Though not a focus of this article, several reviews were noted that dealt with the effectiveness of treatment options for pandemic influenza [<xref rid="pone.0168262.ref062" ref-type="bibr">62</xref>–<xref rid="pone.0168262.ref070" ref-type="bibr">70</xref>]. While these were beyond the scope of the present review, assessments of four major treatment strategies were found. Results suggest that early treatment with neuraminidase inhibitors can reduce hospitalization [<xref rid="pone.0168262.ref069" ref-type="bibr">69</xref>], ventilator support [<xref rid="pone.0168262.ref071" ref-type="bibr">71</xref>], and death [<xref rid="pone.0168262.ref063" ref-type="bibr">63</xref>–<xref rid="pone.0168262.ref065" ref-type="bibr">65</xref>]. Two reviews [<xref rid="pone.0168262.ref066" ref-type="bibr">66</xref>, <xref rid="pone.0168262.ref068" ref-type="bibr">68</xref>]—based on a single study—mention a benefit of convalescent plasma for treating severe pandemic influenza cases. Three reviews [<xref rid="pone.0168262.ref062" ref-type="bibr">62</xref>, <xref rid="pone.0168262.ref066" ref-type="bibr">66</xref>, <xref rid="pone.0168262.ref068" ref-type="bibr">68</xref>] conclude that there is insufficient evidence to comment on the potential benefit of extracorporeal membrane oxygenation to treat influenza-associated respiratory failure. Two reviews [<xref rid="pone.0168262.ref066" ref-type="bibr">66</xref>, <xref rid="pone.0168262.ref068" ref-type="bibr">68</xref>] found no benefit of corticosteroid therapy to treat acute lung injury, while another [<xref rid="pone.0168262.ref070" ref-type="bibr">70</xref>] found that it significantly increases nosocomial infection and mortality.</p><p>The executed search strategy found no systematic reviews relating to either border control measures or hospital triage protocols. Additional searches of the primary literature suggested a low efficacy associated with border control measures. These include the use of non-contact infrared thermometers in airports to detect infected passengers, where studies from the 2009 pandemic found that the positive predictive value ranged from 0.9% to 76.0%, and was likely to be too low to effectively detect and contain pandemic infection [<xref rid="pone.0168262.ref072" ref-type="bibr">72</xref>, <xref rid="pone.0168262.ref073" ref-type="bibr">73</xref>]. A study of entry screening for pandemic H1N1 at Auckland International Airport, which focused on encouraging infection reporting and did not use thermal scanning or active screening, reported a screening sensitivity of 5.8%, which the authors concluded to be insufficient to delay the spread of pandemic influenza [<xref rid="pone.0168262.ref074" ref-type="bibr">74</xref>]. The general consensus appears to be that even rigorous and expensive border control measures are unlikely to delay the spread of pandemic influenza by more than a few days [<xref rid="pone.0168262.ref075" ref-type="bibr">75</xref>, <xref rid="pone.0168262.ref076" ref-type="bibr">76</xref>]. No empirical studies were found that quantified the effectiveness of alternate models of care—such as hospital triage protocols—in containing pandemic influenza.</p><p>This present systematic review is subject to certain limitations. First, a decision was made to review existing systematic reviews and meta-analyses, rather than primary literature. This was done in an effort to account for the clinical, methodological, and statistical heterogeneity in this field, while summarizing and assessing current, high-quality research regarding preventative interventions for pandemic influenza, and is consistent with past health intervention research methodologies [<xref rid="pone.0168262.ref077" ref-type="bibr">77</xref>]. While it is possible that this approach omits some primary research, this was deemed unlikely to substantially affect results, given the broad search and inclusion criteria and considering that the last pandemic occurred seven years ago, meaning that recent reviews are likely to have captured all relevant primary literature. This approach provided an efficient means of summarizing and assessing the results of numerous reviews in a single study, allowing a more fulsome discussion of the quality of existing evidence on pandemic influenza interventions than would have been feasible from a review of the primary literature. Second, as high heterogeneity both within and between included studies prevented further meta-analysis, we were necessarily restricted to a narrative synthesis of current research and persisting knowledge gaps. The potential for publication biases was noted, as the marginally protective role of interventions such as hand hygiene and mask use may have been overestimated by the disproportionate publication of significant results (the association was still not found to be significant, however). Location bias was also present, as most results included in the reviews were from higher-income countries, and some interventions, such as mass antiviral prophylaxis, may not be feasible in low-resource settings. Another limitation of this review was that most of the available data were obtained from studies of the relatively mild 2009 H1N1 pandemic; this precluded analysis of the how intervention effectiveness is affected by disease characteristics, and may limit to generalizability of findings to future pandemics of unknown severity. Lastly, outcome reporting bias may have influenced the results, given the variability of influenza case definitions that were used in the primary studies, sometimes with little clinical basis.</p></sec><sec id="sec023"><title>5. Conclusion</title><p>This systematic review provides the first synthesis of existing systematic reviews and meta-analyses on interventions to prevent pandemic influenza infection, comparing findings to advance knowledge and understanding of optimal intervention strategies. Important knowledge gaps persist in this area, particularly with regard to the effect of non-pharmaceutical interventions in limiting transmission and infection. While pandemic vaccination appears to be effective in preventing influenza, it is crucial to prepare for the early phases of a pandemic where vaccines may be unavailable. Future work could focus on the impact of personal protective measures in reducing transmission rates; an important avenue for primary research is the prospective study of intervention effectiveness in infectious disease emergency situations. In the meantime, it is hoped the results of the present review will be of value in informing the development of future pandemic intervention strategies.</p></sec><sec sec-type="supplementary-material" id="sec024"><title>Supporting Information</title><supplementary-material content-type="local-data" id="pone.0168262.s001"><label>S1 Table</label><caption><title>PRISMA Checklist.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s001.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s002"><label>S2 Table</label><caption><title>Database-specific search strategies.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s002.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s003"><label>S3 Table</label><caption><title>AMSTAR Screening Tool.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s003.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s004"><label>S4 Table</label><caption><title>Articles Excluded During Full Review.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s004.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s005"><label>S5 Table</label><caption><title>Results of Pandemic Vaccination Analyses Reporting Relative Effects.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s005.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s006"><label>S6 Table</label><caption><title>Results of Antiviral Analyses Reporting Relative Effects.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s006.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s007"><label>S7 Table</label><caption><title>Results of Seasonal Vaccination Analyses Reporting Relative Effects.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s007.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s008"><label>S8 Table</label><caption><title>Results of Personal Protective Measure Analyses Reporting Relative Effects.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s008.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0168262.s009"><label>S9 Table</label><caption><title>AMSTAR Scoring of Included Studies.</title><p>(PDF)</p></caption><media xlink:href="pone.0168262.s009.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec></body><back><ack><p>The authors thank Can Chen and Katherine Saunders-Hastings for their assistance in translating foreign language articles. 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