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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Predicting support for non-pharmaceutical interventions during infectious outbreaks: a four region analysis</title><author><name sortKey="Pillemer, Francesca Matthews" sort="Pillemer, Francesca Matthews" uniqKey="Pillemer F" first="Francesca Matthews" last="Pillemer">Francesca Matthews Pillemer</name></author><author><name sortKey="Blendon, Robert J" sort="Blendon, Robert J" uniqKey="Blendon R" first="Robert J." last="Blendon">Robert J. Blendon</name></author><author><name sortKey="Zaslavsky, Alan M" sort="Zaslavsky, Alan M" uniqKey="Zaslavsky A" first="Alan M." last="Zaslavsky">Alan M. Zaslavsky</name></author><author><name sortKey="Lee, Bruce Y" sort="Lee, Bruce Y" uniqKey="Lee B" first="Bruce Y." last="Lee">Bruce Y. Lee</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25243477</idno><idno type="pmc">4355939</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355939</idno><idno type="RBID">PMC:4355939</idno><idno type="doi">10.1111/disa.12089</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000D37</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000D37</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Predicting support for non-pharmaceutical interventions during infectious outbreaks: a four region analysis</title><author><name sortKey="Pillemer, Francesca Matthews" sort="Pillemer, Francesca Matthews" uniqKey="Pillemer F" first="Francesca Matthews" last="Pillemer">Francesca Matthews Pillemer</name></author><author><name sortKey="Blendon, Robert J" sort="Blendon, Robert J" uniqKey="Blendon R" first="Robert J." last="Blendon">Robert J. Blendon</name></author><author><name sortKey="Zaslavsky, Alan M" sort="Zaslavsky, Alan M" uniqKey="Zaslavsky A" first="Alan M." last="Zaslavsky">Alan M. Zaslavsky</name></author><author><name sortKey="Lee, Bruce Y" sort="Lee, Bruce Y" uniqKey="Lee B" first="Bruce Y." last="Lee">Bruce Y. Lee</name></author></analytic><series><title level="j">Disasters</title><idno type="ISSN">0361-3666</idno><idno type="eISSN">1467-7717</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Non-pharmaceutical interventions (NPIs) are an important public health tool for responding to infectious disease outbreaks, including pandemics. However, little is known about the individual characteristics associated with support for NPIs, or whether they are consistent across regions. This study draws on survey data from four regions—Hong Kong, Singapore, Taiwan, and the United States—collected following the Severe Acute Respiratory Syndrome (SARS) outbreak of 2002–03, and employs regression techniques to estimate predictors of NPI support. It finds that characteristics associated with NPI support vary widely by region, possibly because of cultural variation and prior experience, and that minority groups tend to be less supportive of NPIs when arrest is the consequence of noncompliance. Prior experience of face-mask usage also results in increased support for future usage, as well as other NPIs. Policymakers should be attentive to local preferences and to the application of compulsory interventions. It is speculated here that some public health interventions may serve as ‘gateway’ exposures to future public health interventions.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">7702072</journal-id><journal-id journal-id-type="pubmed-jr-id">20125</journal-id><journal-id journal-id-type="nlm-ta">Disasters</journal-id><journal-id journal-id-type="iso-abbrev">Disasters</journal-id><journal-title-group><journal-title>Disasters</journal-title></journal-title-group><issn pub-type="ppub">0361-3666</issn><issn pub-type="epub">1467-7717</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25243477</article-id><article-id pub-id-type="pmc">4355939</article-id><article-id pub-id-type="doi">10.1111/disa.12089</article-id><article-id pub-id-type="manuscript">NIHMS666834</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Predicting support for non-pharmaceutical interventions during infectious outbreaks: a four region analysis</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Pillemer</surname><given-names>Francesca Matthews</given-names></name><degrees>MS, PhD</degrees><aff id="A1">Policy Researcher at the RAND Corporation, United States</aff></contrib><contrib contrib-type="author"><name><surname>Blendon</surname><given-names>Robert J.</given-names></name><degrees>MBA, ScD</degrees><aff id="A2">Senior Associate Dean for Policy Translation and Leadership Development and Professor of Health Policy and Political Analysis at Harvard School of Public Health, United States</aff></contrib><contrib contrib-type="author"><name><surname>Zaslavsky</surname><given-names>Alan M.</given-names></name><degrees>PhD</degrees><aff id="A3">Professor of Health Care Policy at the Department of Health Care Policy, Harvard Medical School, United States</aff></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Bruce Y.</given-names></name><degrees>MBA, MD</degrees><aff id="A4">Director of Operations Research at the International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, United States</aff></contrib></contrib-group><author-notes><corresp id="FN1">Correspondence: Francesca Matthews Pillemer, MS PhD, Policy Researcher, RAND Corporation, 1200 South Hayes Street, Arlington, Virginia 22202, United States. <email>pillemer@rand.org</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>26</day><month>2</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>22</day><month>9</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>11</day><month>3</month><year>2015</year></pub-date><volume>39</volume><issue>1</issue><fpage>125</fpage><lpage>145</lpage><pmc-comment>elocation-id from pubmed: 10.1111/disa.12089</pmc-comment>
<abstract><p id="P1">Non-pharmaceutical interventions (NPIs) are an important public health tool for responding to infectious disease outbreaks, including pandemics. However, little is known about the individual characteristics associated with support for NPIs, or whether they are consistent across regions. This study draws on survey data from four regions—Hong Kong, Singapore, Taiwan, and the United States—collected following the Severe Acute Respiratory Syndrome (SARS) outbreak of 2002–03, and employs regression techniques to estimate predictors of NPI support. It finds that characteristics associated with NPI support vary widely by region, possibly because of cultural variation and prior experience, and that minority groups tend to be less supportive of NPIs when arrest is the consequence of noncompliance. Prior experience of face-mask usage also results in increased support for future usage, as well as other NPIs. Policymakers should be attentive to local preferences and to the application of compulsory interventions. It is speculated here that some public health interventions may serve as ‘gateway’ exposures to future public health interventions.</p></abstract><kwd-group><kwd>compulsory</kwd><kwd>epidemic</kwd><kwd>non-pharmaceutical interventions</kwd><kwd>pandemic</kwd><kwd>survey</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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