The 2009 H1N1 influenza pandemic
Identifieur interne : 000805 ( Pmc/Checkpoint ); précédent : 000804; suivant : 000806The 2009 H1N1 influenza pandemic
Auteurs : Bruce Y. Lee ; Ann E. WiringaSource :
- Human Vaccines [ 1554-8600 ] ; 2011.
Abstract
During the 2009 H1N1 influenza pandemic nearly every decision associated with new vaccine development and dissemination occurred from the Spring of 2009, when the novel virus first emerged, to the Fall of 2009, when the new vaccines started reaching the thighs, arms and noses of vaccinees. In many ways, 2009 served as a crash course on how mathematical and computational modeling can assist all aspects of vaccine decision-making. Modeling influenced pandemic vaccine decision-making, but not to its fullest potential. The 2009 H1N1 pandemic demonstrated that modeling can help answer questions about new vaccine development, distribution, and administration such as (1) is a vaccine needed, (2) what characteristics should the vaccine have, (3) how should the vaccine be distributed, (4) who should receive the vaccine and in what order and (5) when should vaccination be discontinued? There is no need to wait for another pandemic to enhance the role of modeling, as new vaccine candidates for a variety of infectious diseases are emerging every year. Greater communication between decision makers and modelers can expand the use of modeling in vaccine decision-making to the benefit of all vaccine stakeholders and health around the globe.
Url:
DOI: 10.4161/hv.7.1.13740
PubMed: 21263227
PubMed Central: 3062245
Affiliations:
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PMC:3062245Le document en format XML
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<series><title level="j">Human Vaccines</title>
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<front><div type="abstract" xml:lang="en"><p>During the 2009 H1N1 influenza pandemic nearly every decision associated with new vaccine development and dissemination occurred from the Spring of 2009, when the novel virus first emerged, to the Fall of 2009, when the new vaccines started reaching the thighs, arms and noses of vaccinees. In many ways, 2009 served as a crash course on how mathematical and computational modeling can assist all aspects of vaccine decision-making. Modeling influenced pandemic vaccine decision-making, but not to its fullest potential. The 2009 H1N1 pandemic demonstrated that modeling can help answer questions about new vaccine development, distribution, and administration such as (1) is a vaccine needed, (2) what characteristics should the vaccine have, (3) how should the vaccine be distributed, (4) who should receive the vaccine and in what order and (5) when should vaccination be discontinued? There is no need to wait for another pandemic to enhance the role of modeling, as new vaccine candidates for a variety of infectious diseases are emerging every year. Greater communication between decision makers and modelers can expand the use of modeling in vaccine decision-making to the benefit of all vaccine stakeholders and health around the globe.</p>
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<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>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Hum Vaccin</journal-id>
<journal-id journal-id-type="iso-abbrev">Hum Vaccin</journal-id>
<journal-id journal-id-type="publisher-id">10.4161/hv</journal-id>
<journal-title-group><journal-title>Human Vaccines</journal-title>
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<issn pub-type="ppub">1554-8600</issn>
<issn pub-type="epub">1554-8619</issn>
<publisher><publisher-name>Landes Bioscience</publisher-name>
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<article-categories><subj-group subj-group-type="heading"><subject>Commentary</subject>
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<title-group><article-title>The 2009 H1N1 influenza pandemic</article-title>
<subtitle>A case study of how modeling can assist all stages of vaccine decision-making</subtitle>
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<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Lee</surname>
<given-names>Bruce Y</given-names>
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<contrib contrib-type="author"><name><surname>Wiringa</surname>
<given-names>Ann E</given-names>
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<aff>Public Health Computational and Operations Research (PHICOR); University of Pittsburgh School of Medicine and Graduate School of Public Health; Pittsburgh, PA USA</aff>
<author-notes><corresp>Correspondence to: Bruce Y. Lee; Email: <email>BYL1@pitt.edu</email>
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<pub-date pub-type="ppub"><month>1</month>
<year>2011</year>
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<month>1</month>
<year>2011</year>
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<volume>7</volume>
<issue>1</issue>
<fpage>115</fpage>
<lpage>119</lpage>
<history><date date-type="received"><day>8</day>
<month>9</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>24</day>
<month>9</month>
<year>2010</year>
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<permissions><copyright-statement>Copyright © 2011 Landes Bioscience</copyright-statement>
<copyright-year>2011</copyright-year>
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<abstract><p>During the 2009 H1N1 influenza pandemic nearly every decision associated with new vaccine development and dissemination occurred from the Spring of 2009, when the novel virus first emerged, to the Fall of 2009, when the new vaccines started reaching the thighs, arms and noses of vaccinees. In many ways, 2009 served as a crash course on how mathematical and computational modeling can assist all aspects of vaccine decision-making. Modeling influenced pandemic vaccine decision-making, but not to its fullest potential. The 2009 H1N1 pandemic demonstrated that modeling can help answer questions about new vaccine development, distribution, and administration such as (1) is a vaccine needed, (2) what characteristics should the vaccine have, (3) how should the vaccine be distributed, (4) who should receive the vaccine and in what order and (5) when should vaccination be discontinued? There is no need to wait for another pandemic to enhance the role of modeling, as new vaccine candidates for a variety of infectious diseases are emerging every year. Greater communication between decision makers and modelers can expand the use of modeling in vaccine decision-making to the benefit of all vaccine stakeholders and health around the globe.</p>
</abstract>
<kwd-group><title>Key words</title>
<kwd>influenza</kwd>
<kwd>H1N1</kwd>
<kwd>vaccine</kwd>
<kwd>modeling</kwd>
<kwd>pandemic</kwd>
<kwd>vaccine development</kwd>
<kwd>vaccine distribution</kwd>
<kwd>vaccine administration</kwd>
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