Epidemic dynamics at the human-animal interface
Identifieur interne : 000D29 ( Pmc/Corpus ); précédent : 000D28; suivant : 000D30Epidemic dynamics at the human-animal interface
Auteurs : James O. Lloyd-Smith ; Dylan George ; Kim M. Pepin ; Virginia E. Pitzer ; Juliet R. C. Pulliam ; Andrew P. Dobson ; Peter J. Hudson ; Bryan T. GrenfellSource :
- Science (New York, N.Y.) [ 0036-8075 ] ; 2009.
Abstract
Few infectious diseases are entirely human-specific: most human pathogens also circulate in animals, or else originated in non-human hosts. Influenza, plague, and trypanosomiasis are classic examples of zoonoses, or infections that transmit from animals to humans. The multi-host ecology of zoonoses leads to complex dynamics, and analytical tools such as mathematical modeling are vital to the development of effective control policies and research agendas. Much attention has focused on modeling pathogens with simpler life cycles and immediate global urgency, such as influenza and SARS, but vector-transmitted, chronic, and protozoan infections have been neglected, as have crucial processes such as cross-species transmission. Progress in understanding and combating zoonoses requires a new generation of models that addresses a broader set of pathogen life histories and integrates across host species and scientific disciplines.
Url:
DOI: 10.1126/science.1177345
PubMed: 19965751
PubMed Central: 3891603
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PMC:3891603Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">Few infectious diseases are entirely human-specific: most human pathogens also circulate in animals, or else originated in non-human hosts. Influenza, plague, and trypanosomiasis are classic examples of zoonoses, or infections that transmit from animals to humans. The multi-host ecology of zoonoses leads to complex dynamics, and analytical tools such as mathematical modeling are vital to the development of effective control policies and research agendas. Much attention has focused on modeling pathogens with simpler life cycles and immediate global urgency, such as influenza and SARS, but vector-transmitted, chronic, and protozoan infections have been neglected, as have crucial processes such as cross-species transmission. Progress in understanding and combating zoonoses requires a new generation of models that addresses a broader set of pathogen life histories and integrates across host species and scientific disciplines.</p>
</div>
</front>
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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>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0404511</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Epidemic dynamics at the human-animal interface</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Lloyd-Smith</surname>
<given-names>James O.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
<xref rid="FN1" ref-type="author-notes">†</xref>
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<contrib contrib-type="author"><name><surname>George</surname>
<given-names>Dylan</given-names>
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<xref ref-type="aff" rid="A3">3</xref>
<xref rid="FN2" ref-type="author-notes">*</xref>
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<xref ref-type="aff" rid="A4">4</xref>
<xref rid="FN2" ref-type="author-notes">*</xref>
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<contrib contrib-type="author"><name><surname>Pitzer</surname>
<given-names>Virginia E.</given-names>
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<xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="aff" rid="A4">4</xref>
<xref rid="FN2" ref-type="author-notes">*</xref>
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<contrib contrib-type="author"><name><surname>Pulliam</surname>
<given-names>Juliet R. C.</given-names>
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<contrib contrib-type="author"><name><surname>Hudson</surname>
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<xref ref-type="aff" rid="A4">4</xref>
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<contrib contrib-type="author"><name><surname>Grenfell</surname>
<given-names>Bryan T.</given-names>
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<xref ref-type="aff" rid="A5">5</xref>
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<aff id="A1"><label>1</label>
Department of Ecology & Evolutionary Biology, UCLA, Los Angeles CA 90095, USA</aff>
<aff id="A2"><label>2</label>
Fogarty International Center, National Institutes of Health, Bethesda MD 20892, USA</aff>
<aff id="A3"><label>3</label>
Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA</aff>
<aff id="A4"><label>4</label>
Center for Infectious Disease Dynamics, Pennsylvania State University, University Park 16802, USA</aff>
<aff id="A5"><label>5</label>
Department of Ecology & Evolutionary Biology, Princeton University, Princeton NJ 08544, USA</aff>
<author-notes><corresp id="FN1"><label>†</label>
To whom correspondence should be addressed. <email>jlloydsmith@ucla.edu</email>
</corresp>
<fn id="FN2" fn-type="equal"><label>*</label>
<p>equal contributors, listed alphabetically</p>
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<pub-date pub-type="nihms-submitted"><day>24</day>
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<volume>326</volume>
<issue>5958</issue>
<fpage>1362</fpage>
<lpage>1367</lpage>
<pmc-comment>elocation-id from pubmed: 10.1126/science.1177345</pmc-comment>
<abstract><p id="P1">Few infectious diseases are entirely human-specific: most human pathogens also circulate in animals, or else originated in non-human hosts. Influenza, plague, and trypanosomiasis are classic examples of zoonoses, or infections that transmit from animals to humans. The multi-host ecology of zoonoses leads to complex dynamics, and analytical tools such as mathematical modeling are vital to the development of effective control policies and research agendas. Much attention has focused on modeling pathogens with simpler life cycles and immediate global urgency, such as influenza and SARS, but vector-transmitted, chronic, and protozoan infections have been neglected, as have crucial processes such as cross-species transmission. Progress in understanding and combating zoonoses requires a new generation of models that addresses a broader set of pathogen life histories and integrates across host species and scientific disciplines.</p>
</abstract>
<funding-group><award-group><funding-source country="United States">National Institute of Child Health & Human Development : NICHD</funding-source>
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