Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel-Related Measures
Identifieur interne : 000F07 ( Pmc/Corpus ); précédent : 000F06; suivant : 000F08Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel-Related Measures
Auteurs : Sukhyun Ryu ; Huizhi Gao ; Jessica Y. Wong ; Eunice Y. C. Shiu ; Jingyi Xiao ; Min Whui Fong ; Benjamin J. CowlingSource :
- Emerging Infectious Diseases [ 1080-6040 ] ; 2020.
Abstract
International travel–related nonpharmaceutical interventions (NPIs), which can include traveler screening, travel restrictions, and border closures, often are included in national influenza pandemic preparedness plans. We performed systematic reviews to identify evidence for their effectiveness. We found 15 studies in total. Some studies reported that NPIs could delay the introduction of influenza virus. However, no available evidence indicated that screening of inbound travelers would have a substantial effect on preventing spread of pandemic influenza, and no studies examining exit screening were found. Some studies reported that travel restrictions could delay the start of local transmission and slow international spread, and 1 study indicated that small Pacific islands were able to prevent importation of pandemic influenza during 1918–19 through complete border closure. This limited evidence base indicates that international travel-related NPIs would have limited effectiveness in controlling pandemic influenza and that these measures require considerable resources to implement.
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DOI: 10.3201/eid2605.190993
PubMed: 32027587
PubMed Central: 7181936
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel-Related Measures</title><author><name sortKey="Ryu, Sukhyun" sort="Ryu, Sukhyun" uniqKey="Ryu S" first="Sukhyun" last="Ryu">Sukhyun Ryu</name></author><author><name sortKey="Gao, Huizhi" sort="Gao, Huizhi" uniqKey="Gao H" first="Huizhi" last="Gao">Huizhi Gao</name></author><author><name sortKey="Wong, Jessica Y" sort="Wong, Jessica Y" uniqKey="Wong J" first="Jessica Y." last="Wong">Jessica Y. Wong</name></author><author><name sortKey="Shiu, Eunice Y C" sort="Shiu, Eunice Y C" uniqKey="Shiu E" first="Eunice Y. C." last="Shiu">Eunice Y. C. Shiu</name></author><author><name sortKey="Xiao, Jingyi" sort="Xiao, Jingyi" uniqKey="Xiao J" first="Jingyi" last="Xiao">Jingyi Xiao</name></author><author><name sortKey="Fong, Min Whui" sort="Fong, Min Whui" uniqKey="Fong M" first="Min Whui" last="Fong">Min Whui Fong</name></author><author><name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J." last="Cowling">Benjamin J. Cowling</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32027587</idno><idno type="pmc">7181936</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181936</idno><idno type="RBID">PMC:7181936</idno><idno type="doi">10.3201/eid2605.190993</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">000F07</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000F07</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel-Related Measures</title><author><name sortKey="Ryu, Sukhyun" sort="Ryu, Sukhyun" uniqKey="Ryu S" first="Sukhyun" last="Ryu">Sukhyun Ryu</name></author><author><name sortKey="Gao, Huizhi" sort="Gao, Huizhi" uniqKey="Gao H" first="Huizhi" last="Gao">Huizhi Gao</name></author><author><name sortKey="Wong, Jessica Y" sort="Wong, Jessica Y" uniqKey="Wong J" first="Jessica Y." last="Wong">Jessica Y. Wong</name></author><author><name sortKey="Shiu, Eunice Y C" sort="Shiu, Eunice Y C" uniqKey="Shiu E" first="Eunice Y. C." last="Shiu">Eunice Y. C. Shiu</name></author><author><name sortKey="Xiao, Jingyi" sort="Xiao, Jingyi" uniqKey="Xiao J" first="Jingyi" last="Xiao">Jingyi Xiao</name></author><author><name sortKey="Fong, Min Whui" sort="Fong, Min Whui" uniqKey="Fong M" first="Min Whui" last="Fong">Min Whui Fong</name></author><author><name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J." last="Cowling">Benjamin J. Cowling</name></author></analytic><series><title level="j">Emerging Infectious Diseases</title><idno type="ISSN">1080-6040</idno><idno type="eISSN">1080-6059</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>International travel–related nonpharmaceutical interventions (NPIs), which can include traveler screening, travel restrictions, and border closures, often are included in national influenza pandemic preparedness plans. We performed systematic reviews to identify evidence for their effectiveness. We found 15 studies in total. Some studies reported that NPIs could delay the introduction of influenza virus. However, no available evidence indicated that screening of inbound travelers would have a substantial effect on preventing spread of pandemic influenza, and no studies examining exit screening were found. Some studies reported that travel restrictions could delay the start of local transmission and slow international spread, and 1 study indicated that small Pacific islands were able to prevent importation of pandemic influenza during 1918–19 through complete border closure. This limited evidence base indicates that international travel-related NPIs would have limited effectiveness in controlling pandemic influenza and that these measures require considerable resources to implement.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><pmc article-type="review-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Emerg Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Emerging Infect. Dis</journal-id><journal-id journal-id-type="publisher-id">EID</journal-id><journal-title-group><journal-title>Emerging Infectious Diseases</journal-title></journal-title-group><issn pub-type="ppub">1080-6040</issn><issn pub-type="epub">1080-6059</issn><publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">32027587</article-id><article-id pub-id-type="pmc">7181936</article-id><article-id pub-id-type="publisher-id">19-0993</article-id><article-id pub-id-type="doi">10.3201/eid2605.190993</article-id><article-categories><subj-group subj-group-type="heading"><subject>Policy Review</subject></subj-group><subj-group subj-group-type="article-type"><subject>Policy Review</subject></subj-group><subj-group subj-group-type="TOC-title"><subject>Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel–Related Measures</subject></subj-group></article-categories><title-group><article-title>Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings—International Travel-Related Measures</article-title><alt-title alt-title-type="running-head">Pandemic Influenza—Travel-Related Measures</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ryu</surname><given-names>Sukhyun</given-names></name></contrib><contrib contrib-type="author"><name><surname>Gao</surname><given-names>Huizhi</given-names></name></contrib><contrib contrib-type="author"><name><surname>Wong</surname><given-names>Jessica Y.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Shiu</surname><given-names>Eunice Y.C.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Xiao</surname><given-names>Jingyi</given-names></name></contrib><contrib contrib-type="author"><name><surname>Fong</surname><given-names>Min Whui</given-names></name></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Cowling</surname><given-names>Benjamin J.</given-names></name></contrib><aff id="aff1">University of Hong Kong, Hong Kong, China (S. Ryu, H. Gao, J.Y. Wong, E.Y.C. Shiu, J. Xiao, M.W. Fong, B.J. Cowling);</aff><aff id="aff2">Konyang University, Daejeon, South Korea (S. Ryu)</aff></contrib-group><author-notes><corresp id="cor1">Address for correspondence: Benjamin J. Cowling, WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 1/F Patrick Manson Building (North Wing), 7 Sassoon Rd, Hong Kong, China; email: <email xlink:href="bcowling@hku.hk">bcowling@hku.hk</email></corresp></author-notes><pub-date pub-type="ppub"><month>5</month><year>2020</year></pub-date><volume>26</volume><issue>5</issue><fpage>961</fpage><lpage>966</lpage><abstract><p>International travel–related nonpharmaceutical interventions (NPIs), which can include traveler screening, travel restrictions, and border closures, often are included in national influenza pandemic preparedness plans. We performed systematic reviews to identify evidence for their effectiveness. We found 15 studies in total. Some studies reported that NPIs could delay the introduction of influenza virus. However, no available evidence indicated that screening of inbound travelers would have a substantial effect on preventing spread of pandemic influenza, and no studies examining exit screening were found. Some studies reported that travel restrictions could delay the start of local transmission and slow international spread, and 1 study indicated that small Pacific islands were able to prevent importation of pandemic influenza during 1918–19 through complete border closure. This limited evidence base indicates that international travel-related NPIs would have limited effectiveness in controlling pandemic influenza and that these measures require considerable resources to implement.</p></abstract><kwd-group kwd-group-type="author"><title>Keywords: </title><kwd>influenza</kwd><kwd>pandemic</kwd><kwd>viruses</kwd><kwd>respiratory diseases</kwd><kwd>nonpharmaceutical interventions</kwd><kwd>entry screening</kwd><kwd>border closure</kwd><kwd>travel restrictions</kwd><kwd>quarantine</kwd><kwd>vaccine-preventable diseases</kwd><kwd>public health</kwd></kwd-group></article-meta></front><body><p>From time to time, novel influenza A virus strains emerge and cause global influenza pandemics (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>). Pandemics occurred 3 times in the 20th century and 1 time so far in the 21st century (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>). The recognition that influenza pandemics can have substantial social and economic effects in addition to the impact on public health, along with the emergence of highly pathogenic strains of avian influenza virus in the past 20 years, has stimulated greater attention in preparing for future influenza pandemics (<xref rid="R3" ref-type="bibr"><italic>3</italic></xref>,<xref rid="R4" ref-type="bibr"><italic>4</italic></xref>). Given the delays in the availability of specific vaccines and limited supplies of antiviral drugs, nonpharmaceutical interventions (NPIs) form a major part of pandemic plans (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>). </p><p>A range of NPIs can be applied at international, national, and local levels, with the objectives of delaying the arrival of infected persons, slowing the spread of infection, delaying the epidemic peak, and reducing the size of the peak (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>). This article focuses on the use of measures related to international travel, including entry and exit screening of travelers for infection, travel restrictions, and border closures (<xref rid="T1" ref-type="table">Table 1</xref>). We aimed to review the evidence base assessing the effectiveness of these travel-related NPIs against pandemic influenza and to identify the barriers to implementation of these interventions.</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><title>Terminology of international travel-related nonpharmaceutical interventions</title></caption><table frame="hsides" rules="groups"><col width="162" span="1"></col><col width="151" span="1"></col><col width="154" span="1"></col><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Screening travelers</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">International travel restriction</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Border closure</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Screening travelers entering or leaving a country for signs and symptoms of influenza virus infection or recent exposure to influenza virus infection by using health declaration forms, visual inspections, thermal scanners, or any combination of these measures (<xref rid="R6" ref-type="bibr"><italic>6</italic></xref>)</td><td valign="top" align="left" rowspan="1" colspan="1">Limitations on travel between particular countries (<xref rid="R7" ref-type="bibr"><italic>7</italic></xref>)</td><td valign="top" align="left" rowspan="1" colspan="1">Complete prevention of movement of individuals into and out of a particular country (<xref rid="R7" ref-type="bibr"><italic>7</italic></xref>)</td></tr></tbody></table></table-wrap><sec sec-type="methods|results"><title>Methods and Results</title><p>We searched for literature reporting or estimating the effectiveness of NPIs related to international travel and movement, including entry and exit screening travelers, travel restrictions, and border closures on pandemic or interpandemic influenza. We conducted literature searches on PubMed, Medline, Embase, and Cochrane Library for peer-reviewed articles published from January 1, 1946, through April 28, 2019. The search terms used were identified from relevant systematic reviews and research reports (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref>,<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>). We collected additional studies from secondary references from included studies or other relevant searches. Articles were eligible for inclusion if they reported or estimated the effectiveness of international travel–related NPIs for pandemic influenza using quantitative indicators such as delaying the introduction of infection, delaying the epidemic peak, or reducing the size of the peak. We excluded articles if they did not investigate the quantitative effectiveness of international travel–related NPIs or were editorials, reviews, or commentaries without primary data. Furthermore, we restricted articles to those published in English. Two independent reviewers (S.R. and H.G.) screened titles and abstracts and assessed full-text articles for eligibility. A third reviewer (B.J.C.) adjudicated any disagreements between the 2 reviewers.</p><p>We extracted the information on the effectiveness of NPIs from included studies by using a structured data-extraction form. Information of interest included the study setting, specific measures implemented, timing of intervention implementation, study results regarding effectiveness indicators, and potential barriers to implementation. The assessment of quality of evidence considered study design and assigned generally higher quality to randomized trials, lower quality to observational studies, and lowest quality to simulation studies. We provide full search terms, search strategies, selection of articles, and summaries of the selected articles (<xref ref-type="local-data" rid="SD1">Appendix</xref>).</p><sec><title>Screening Travelers for Infection</title><p>We identified 4 relevant studies that considered the effect of screening on influenza transmission, including 2 epidemiologic studies from the 2009 pandemic (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>) and 2 simulation studies (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>,<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>). The epidemiologic studies estimated that entry screening delayed the arrival of influenza A(H1N1)pdm09 virus to previously unaffected areas by an average of 7–12 days (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>) and delayed the epidemic in China by 4 days by reducing imported cases by 37% from border entry screening (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>). The simulation studies predicted that entry screening would delay the arrival of infection into a country by a few days or 1–2 weeks at most (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>,<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>). We did not identify any studies on exit screening; in the 2009 influenza pandemic, exit screening was not implemented by Mexico (<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>), nor by most other countries.</p><p>We did not systematically review studies of the technical performance of various screening tools (e.g., screening case definitions and thermal scanners) but identified in an informal search 4 studies that discussed the challenges of screening travelers for infection, which include limited screening sensitivity (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>,<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>), an incubation period of 1–7 days for influenza A(H1N1)pdm09 virus (meaning some infected travelers might not show symptoms until after arrival at their destination) (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>,<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>), limited local capacity of influenza surveillance (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>), and limited public health resources, such as laboratory capacity and funding (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>,<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>).</p><p>Screening inbound travelers for infection is a very visible public health intervention and can reduce the number of infectious persons entering the country (<xref rid="R15" ref-type="bibr"><italic>15</italic></xref>). Infrared thermometers are currently used in many ports of entry in Asia because of the instantaneous and noninvasive nature of their use. Several simulation studies (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>–<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>) included in this review estimated that this intervention helped to delay the introduction of infected persons. However, the sensitivity of screening travelers has been largely reliant on the sensitivity of detection of fever. Epidemiologic studies (<xref rid="R16" ref-type="bibr"><italic>16</italic></xref>,<xref rid="R17" ref-type="bibr"><italic>17</italic></xref>) conducted during the 2009 influenza pandemic demonstrated the low detection rate of entry screening that used the infrared thermal scanner and health declaration form at the airport; the sensitivity of screening travelers for infection was 5.8% in New Zealand and 6.6% in Japan. In addition to the lack of sensitivity for detecting febrile travelers (e.g., some travelers with febrile illness might take antipyretic medicine and evade detection), some infected travelers might travel during the incubation period, which is typically 1–2 days, and thus would not be identified as infected at departure or arrival (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>,<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>). Once infection begins spreading in a local community, identifying additional inbound travelers with infection will do little to limit local spread. In addition, entry screening consumes considerable public health resources, including trained staff, screening devices, and laboratory resources, and thus might not be justifiable (<xref rid="R18" ref-type="bibr"><italic>18</italic></xref>).</p></sec><sec><title>Travel Restrictions</title><p>We identified 1 epidemiologic study and 9 simulation studies that estimated or predicted the effectiveness of international travel restrictions (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>–<xref rid="R28" ref-type="bibr"><italic>28</italic></xref>) (<xref rid="T2" ref-type="table">Table 2</xref>). An epidemiologic study estimated that the peak in the number of influenza-associated deaths was delayed by 2 weeks when international flight volume was reduced by 27% (<italic>2</italic>8). Simulation studies predicted that 90%–99% of travel restrictions could delay international spread of cases by 2–19 weeks (<xref rid="R20" ref-type="bibr"><italic>20</italic></xref>), delay the importation of the first case-patients by 1–8 weeks (<xref rid="R23" ref-type="bibr"><italic>23</italic></xref>–<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>), and delay the epidemic peak by 1–12 weeks (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>,<xref rid="R23" ref-type="bibr"><italic>23</italic></xref>,<xref rid="R24" ref-type="bibr"><italic>24</italic></xref>,<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>,<xref rid="R27" ref-type="bibr"><italic>27</italic></xref>).</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><title>Overall summary of effectiveness international travel-related non-pharmaceutical interventions for reducing influenza transmission</title></caption><table frame="hsides" rules="groups"><col width="57" span="1"></col><col width="129" span="1"></col><col width="208" span="1"></col><col width="86" span="1"></col><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Objective</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Screening travelers</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Travel restriction</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Border closure</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Delaying introduction of case<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• Likely delay by 4 d with detection rate of 37% travelers identified from the port of entry at the border (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>)*
• Associated with mean additional delay of case importation (7–12 d, 95% CI 0–30days, 2009 H1N1 pandemic) (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>)*
• Might delay 3 d reaching 20 infected cases at risk-country (R<sub>0</sub> = 1.5 with 400 travelers/day) (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>)
• Might delay importation of infected case-patientss (21–1555 d, 2009 H1N1 pandemic) (<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>)<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• The mean time delays for exporting the infected case is 5.3 d (80% restriction), 11.7 d (90%), and 131.7 d (99%) (R<sub>0</sub> = 1.8 with implementation of 20 d from first case occurred) (<xref rid="R20" ref-type="bibr"><italic>20</italic></xref>)*
• Among 17 Pacific Island countries and territories, with 99% restriction, 6 countries (with R<sub>0</sub> = 1.5) and 4–5 countries (with R<sub>0</sub> >2.25) would likely escape the pandemic influenza with >50% probability (implemented at very beginning of pandemic) (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>)
• Full children-selective travel restriction might delay an epidemic by 19–35 d (R<sub>0</sub> = 1.2), and less than 15 d (R<sub>0</sub> = 1.6 and 2.0, implemented after pandemic declared) (<xref rid="R22" ref-type="bibr"><italic>22</italic></xref>)
• Mean delay of the first imported case in influenza-unaffected countries was estimated <3 d (40% restriction), and ≈2 weeks (90% restriction) with R<sub>0</sub> = 1.7 and implementation after pandemic declared (<xref rid="R23" ref-type="bibr"><italic>23</italic></xref>)
• Likely delay interval between first global case and the importation of the first cases by 7–37 d (R<sub>0</sub> = 1.4, 1.7, or 2; 90% or 99% restriction; implemented 30 d after first global case occurrence) (<xref rid="R24" ref-type="bibr"><italic>24</italic></xref>)
• Might delay the first passage time of infected case-patient from 18 d to 31 d (outbreak originated from Hong Kong) and from 7 d to 27 d (from Sydney) with R<sub>0</sub> = 1.7 (<xref rid="R25" ref-type="bibr"><italic>25</italic></xref>)
• A 99% restriction of air-only, both air and land, and all modes of transportation might delay the interval between the first imported case and 100 infected case-patients passed the border by a week, 1–2 weeks, and 2 mo, respectively (R<sub>0</sub> = 1.4; implemented on the day after the first global case reported) (<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>)<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• Arrival of influenza pandemic was significantly delayed and reduced compare with the other Pacific Island Jurisdictions (<xref rid="R29" ref-type="bibr"><italic>29</italic></xref>)*<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Delaying the epidemic peak<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• Not available<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• Imported infections might delay the epidemic peak of the United States by 1.5 wks (90% restriction), 3 wks (99%), or 6 wks (99.9%) with R<sub>0</sub> = 1.4–2.0 (implemented 30 d into global pandemic) (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>)
• Might delay pandemic peak by 6–39 d (R<sub>0</sub> = 1.4, 1.7, or 2; 90% or 99% restriction; implemented 30 d after first global case occurrence) (<xref rid="R24" ref-type="bibr"><italic>24</italic></xref>)
• Might delay epidemic peak by 2 wks (99% air travel restriction), 3.5 wks (99% air and land travel restriction), and 12 wks (99% all mode of transportation) with R<sub>0</sub> = 1.4 (<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>)
• Might delay median epidemic peak by 7–102 d (R<sub>0</sub> = 1.8–5; 50%–99.9% restriction) (<xref rid="R27" ref-type="bibr"><italic>27</italic></xref>)
• Peak of influenza mortality delayed by 2 wks (27% international flight volume reduction) (<xref rid="R28" ref-type="bibr"><italic>28</italic></xref>)<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1">• Not available<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Reducing the size of the peak</td><td valign="top" align="left" rowspan="1" colspan="1">• Not available</td><td valign="top" align="left" rowspan="1" colspan="1">• Not available</td><td valign="top" align="left" rowspan="1" colspan="1">• Not available</td></tr></tbody></table><table-wrap-foot><p>*Epidemiology study.</p></table-wrap-foot></table-wrap><p>A simulation study predicted that selectively restricting the travel of children could delay the spread of infection by 35 days (R<sub>0</sub> = 1.2–2.0) (<xref rid="R22" ref-type="bibr"><italic>22</italic></xref>), and another simulation study assessing the probability of escaping 1918–19 influenza pandemic among 17 Pacific Island countries and territories estimated that 4–5 countries avoided influenza pandemic (R<sub>0</sub> = 1.5–3.0) by strict limitation (79% or 99% restriction) of incoming travelers (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>). Three studies explored the barriers to travel restrictions, which included the threat of economic loss (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>,<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>) and lack of compliance among the public (<xref rid="R20" ref-type="bibr"><italic>20</italic></xref>).</p><p>Because the volume of transportation is associated with the spread of influenza (<xref rid="R28" ref-type="bibr"><italic>28</italic></xref>,<xref rid="R30" ref-type="bibr"><italic>30</italic></xref>), travel restrictions have been considered as a measure to reduce international spread (<xref rid="R31" ref-type="bibr"><italic>31</italic></xref>). Although previous expert survey and reviews suggested that travel restrictions are less likely to be effective (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref>,<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>,<xref rid="R32" ref-type="bibr"><italic>32</italic></xref>), international travel restrictions are still included in some national pandemic plans (<xref rid="R33" ref-type="bibr"><italic>33</italic></xref>). Several of the studies we reviewed (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>,<xref rid="R20" ref-type="bibr"><italic>20</italic></xref>,<xref rid="R22" ref-type="bibr"><italic>22</italic></xref>–<xref rid="R28" ref-type="bibr"><italic>28</italic></xref>) predicted that international travel restrictions might delay the importation of new infected persons from other affected areas, slow the international spread of the epidemic, and delay the epidemic peak (<xref rid="R25" ref-type="bibr"><italic>25</italic></xref>). However, simulation studies estimated that travel restrictions after 5 months of the international arrival of the first infected persons would not be effective (<italic>2</italic>6) and that only strict travel restriction was likely to be effective (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>); thus, the time of implementation of this measure should be considered with strict travel restrictions at the early stage of a pandemic. Some barriers exist to implementation of travel restrictions against pandemic influenza, most notably the potential economic consequences of restricting business travelers, as well as legal and ethical issues regarding mobility restrictions (<xref rid="R34" ref-type="bibr"><italic>34</italic></xref>), discrimination of persons from influenza-affected area (<xref rid="R35" ref-type="bibr"><italic>35</italic></xref>), and lack of public compliance.</p></sec><sec><title>Border Closures</title><p>One study investigated the effectiveness of border closures in 11 South Pacific Island jurisdictions during the 1918–19 influenza pandemic. We identified 4 islands where strict border control, including 5–7 days of maritime quarantine, substantially delayed the importation of influenza from 3 to 30 months and reduced the mortality rate compared with the other islands that had not implemented border control (<xref rid="R36" ref-type="bibr"><italic>36</italic></xref>).</p><p>Because travel can drive cross-border transmission of infectious diseases, complete border closure could in theory prevent or delay the spread of influenza or its introduction in previously unaffected countries (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>,<xref rid="R36" ref-type="bibr"><italic>36</italic></xref>). However, in practice, complete border closure is likely to be unfeasible, even on isolated islands, because of the need to import food and medical supplies (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>), and would result in substantial economic and social disruption (<xref rid="R34" ref-type="bibr"><italic>34</italic></xref>).</p></sec></sec><sec sec-type="discussion"><title>Discussion</title><p>We reviewed the effectiveness of each international travel–related NPI and the barriers to its implementation to provide scientific evidence to public health authorities. Our review found that the effect of screening travelers on entry to a country or region is very limited and unlikely to be a rational use of resources. However, this intervention has a potential role to inform travelers about the risk for infection and provide travel advice on avoiding travel to certain regions after departure or how to seek treatment after arrival (<xref rid="R16" ref-type="bibr"><italic>16</italic></xref>). Furthermore, such screening can be seen by policy makers and politicians as a visible public health measure to help assure the public that action is being taken (<xref rid="R16" ref-type="bibr"><italic>16</italic></xref>).</p><p>Our review identified the potential threat of economic consequences as a major barrier to implementation of travel restrictions. A simulation study demonstrated that children-selective travel restriction during a pandemic is less likely to affect economic impact compared with nonselective travel restrictions (<xref rid="R22" ref-type="bibr"><italic>22</italic></xref>). A more structured epidemiologic study is needed to examine the cost and benefit of travel restriction by different risk groups of influenza transmission. A previous study demonstrated that successful border closure for 6 months in an island country provided a net societal benefit of USD 7.3 billion (<xref rid="R36" ref-type="bibr"><italic>36</italic></xref>). However, this extreme measure is unlikely to be implemented unless required by national law in extraordinary circumstances during a very severe pandemic. The literature on border closure included in our review was based on the historical scenario of the 1918–19 influenza pandemic in isolated islands; this research might have limited relevance given the current and ever increasing levels of globalization.</p><p>Although international travel–related NPIs are not likely to be able to prevent importation of pandemic influenza to a country or region, NPIs implemented at the early phase might delay the start of a local epidemic by a few days or weeks (<xref rid="R37" ref-type="bibr"><italic>37</italic></xref>), which is important if such delay can contribute to reducing the effect of the epidemic (e.g., by buying time to prepare healthcare providers and the public before the arrival of the epidemic, to plan and coordinate social distancing measures, and to purchase additional pharmaceuticals such as antiviral drugs or vaccines) (<xref rid="R38" ref-type="bibr"><italic>38</italic></xref>). Once an epidemic has started, travel restrictions might also be used to delay the peak of the epidemic in an isolated location where heavy seeding by incoming infected persons could accelerate local transmission. International Health Regulations could play a role in decisions on whether to implement certain international measures (<xref rid="R39" ref-type="bibr"><italic>39</italic></xref>).</p><p>We identified several knowledge gaps that could be filled by further research. Most fundamentally, information is still lacking on some aspects of the basic epidemiology of influenza, including the dynamics of person-to-person transmission (e.g., Can a person be infectious before the onset of symptoms? Can transmission occur from an asymptomatic or pauci-symptomatic case-patient? What fraction of infections are asymptomatic?). In terms of specific research on the effectiveness of travel-related NPIs, it is difficult to envisage how intervention studies could be done, but epidemiologic studies could be planned in advance of influenza pandemics or perhaps severe influenza epidemics. Studies could answer questions such as how many infections are imported from overseas or whether travel advisories might encourage infected persons not to travel.</p><p>Our review needs to be interpreted in light of some limitations. First, although international travel or trade of infected animals might have a role in the international spread of influenza, the study that assessed the movement restriction of animals was not included in this review. Second, mathematical models are useful tools for investigating the advantages and disadvantages of different interventions, but the results often depend on key modeling assumptions that are difficult to verify (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>). The assessment of the quality of evidence was considered weak overall, given that most of the epidemiologic studies included in our review were ecologic studies. Third, only a few studies on the ethical and economic considerations regarding travel-related measures during influenza epidemics and pandemics were available (<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>,<xref rid="R40" ref-type="bibr"><italic>40</italic></xref>).</p><p>Many countries continue to update their influenza pandemic plans on the basis of the latest available evidence. We found that international travel–related NPIs could delay the introduction of influenza and delay the start of local transmission; however, limited evidence exists to inform the use of these NPIs for controlling pandemic influenza. The evidence that we identified in our review does not support entry screening as an efficient or effective measure, and travel restrictions and border closures are likely to be too disruptive to consider. Additional prospective research on the effectiveness of travel-related NPIs would be valuable to support evidence-based decisions for future influenza pandemics.</p></sec><sec sec-type="supplementary-material"><title></title><supplementary-material content-type="local-data" id="SD1"><caption><title>Appendix</title><p>Additional information about nonpharmaceutical measures for pandemic influenza in nonhealthcare settings—international travel-related measures.</p></caption><media mimetype="application" mime-subtype="pdf" xlink:href="19-0993-Techapp-s1.pdf" xlink:type="simple" id="d35e757" position="anchor"></media></supplementary-material></sec></body><back><fn-group><fn fn-type="citation"><p><italic>Suggested citation for this article</italic>: Ryu S, Gao H, Wong JY, Shiu EYC, Xiao J, Fong MW, et al. Nonpharmaceutical measures for pandemic influenza in nonhealthcare settings—international travel–related measures. Emerg Infect Dis. 2020 May [<italic>date cited</italic>]. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3201/eid2605.190993">https://doi.org/10.3201/eid2605.190993</ext-link></p></fn></fn-group><ack><p>This work was conducted in preparation for the development of guidelines by the World Health Organization on the use of nonpharmaceutical interventions for pandemic influenza in nonmedical settings and was financially supported by the World Health Organization.</p></ack><bio id="d35e773"><p>Dr. Ryu is an assistant professor of preventive medicine at Konyang University, Daejeon, South Korea. 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