PandemieGrippaleV1, Main, Exploration, bibRecord, 000B86

Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations

Identifieur interne : 000B86 ( Main/Exploration ); précédent : 000B85; suivant : 000B87

Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations

Auteurs : Pete Riley [États-Unis] ; Michal Ben-Nun [États-Unis] ; Jon A. Linker [États-Unis] ; Angelia A. Cost [États-Unis] ; Jose L. Sanchez [États-Unis] ; Dylan George [États-Unis] ; David P. Bacon [États-Unis] ; Steven Riley [États-Unis, Royaume-Uni]

Source :

PLoS Computational Biology [ 1553-734X ] ; 2015.

RBID : PMC:4581836

Descripteurs français

KwdFr :
- Bases de données factuelles, Biologie informatique (), Grippe humaine (transmission), Grippe humaine (épidémiologie), Humains, Modèles biologiques, Pandémies ().
MESH :
- épidémiologie : Grippe humaine.
- Bases de données factuelles, Biologie informatique, Humains, Modèles biologiques, Pandémies.

English descriptors

KwdEn :
- Computational Biology (methods), Databases, Factual, Humans, Influenza, Human (epidemiology), Influenza, Human (transmission), Models, Biological, Pandemics (prevention & control), Pandemics (statistics & numerical data).
MESH :
- epidemiology : Influenza, Human.
- methods : Computational Biology.
- prevention & control : Pandemics.
- statistics & numerical data : Pandemics.
- transmission : Influenza, Human.
- Databases, Factual, Humans, Models, Biological.

Abstract

The potential rapid availability of large-scale clinical episode data during the next influenza pandemic suggests an opportunity for increasing the speed with which novel respiratory pathogens can be characterized. Key intervention decisions will be determined by both the transmissibility of the novel strain (measured by the basic reproductive number R₀) and its individual-level severity. The 2009 pandemic illustrated that estimating individual-level severity, as described by the proportion p_C of infections that result in clinical cases, can remain uncertain for a prolonged period of time. Here, we use 50 distinct US military populations during 2009 as a retrospective cohort to test the hypothesis that real-time encounter data combined with disease dynamic models can be used to bridge this uncertainty gap. Effectively, we estimated the total number of infections in multiple early-affected communities using the model and divided that number by the known number of clinical cases. Joint estimates of severity and transmissibility clustered within a relatively small region of parameter space, with 40 of the 50 populations bounded by: p_C, 0.0133–0.150 and R₀, 1.09–2.16. These fits were obtained despite widely varying incidence profiles: some with spring waves, some with fall waves and some with both. To illustrate the benefit of specific pairing of rapidly available data and infectious disease models, we simulated a future moderate pandemic strain with p_C approximately ×10 that of 2009; the results demonstrating that even before the peak had passed in the first affected population, R₀ and p_C could be well estimated. This study provides a clear reference in this two-dimensional space against which future novel respiratory pathogens can be rapidly assessed and compared with previous pandemics.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581836

DOI: 10.1371/journal.pcbi.1004392
PubMed: 26402446
PubMed Central: 4581836

Affiliations:

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations</title>
<author><name sortKey="Riley, Pete" sort="Riley, Pete" uniqKey="Riley P" first="Pete" last="Riley">Pete Riley</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ben Nun, Michal" sort="Ben Nun, Michal" uniqKey="Ben Nun M" first="Michal" last="Ben-Nun">Michal Ben-Nun</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Linker, Jon A" sort="Linker, Jon A" uniqKey="Linker J" first="Jon A." last="Linker">Jon A. Linker</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cost, Angelia A" sort="Cost, Angelia A" uniqKey="Cost A" first="Angelia A." last="Cost">Angelia A. Cost</name>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Armed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Armed Forces Health Surveillance Center, Silver Spring, Maryland</wicri:regionArea>
<placeName><region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Sanchez, Jose L" sort="Sanchez, Jose L" uniqKey="Sanchez J" first="Jose L." last="Sanchez">Jose L. Sanchez</name>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Armed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Armed Forces Health Surveillance Center, Silver Spring, Maryland</wicri:regionArea>
<placeName><region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="George, Dylan" sort="George, Dylan" uniqKey="George D" first="Dylan" last="George">Dylan George</name>
<affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Biomedical Advanced Research and Development Authority (BARDA), Assistant Secretary for Preparedness and Response (ASPR), Department of Health and Human Services (HHS), Washington, D.C., United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Biomedical Advanced Research and Development Authority (BARDA), Assistant Secretary for Preparedness and Response (ASPR), Department of Health and Human Services (HHS), Washington, D.C.</wicri:regionArea>
<wicri:noRegion>D.C.</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Bacon, David P" sort="Bacon, David P" uniqKey="Bacon D" first="David P." last="Bacon">David P. Bacon</name>
<affiliation wicri:level="2"><nlm:aff id="aff004"><addr-line>Leidos, McLean, Virginia, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Leidos, McLean, Virginia</wicri:regionArea>
<placeName><region type="state">Virginie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:aff id="aff005"><addr-line>MRC Centre for Outbreak Analysis and Modelling, Imperial College London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</wicri:regionArea>
<wicri:noRegion>Imperial College London</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">26402446</idno>
<idno type="pmc">4581836</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581836</idno>
<idno type="RBID">PMC:4581836</idno>
<idno type="doi">10.1371/journal.pcbi.1004392</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">000B79</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000B79</idno>
<idno type="wicri:Area/Pmc/Curation">000B79</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000B79</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000392</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000392</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:26402446</idno>
<idno type="wicri:Area/PubMed/Corpus">000600</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000600</idno>
<idno type="wicri:Area/PubMed/Curation">000600</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000600</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000662</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000662</idno>
<idno type="wicri:Area/Ncbi/Merge">001A88</idno>
<idno type="wicri:Area/Ncbi/Curation">001A88</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">001A88</idno>
<idno type="wicri:doubleKey">1553-734X:2015:Riley P:early:characterization:of</idno>
<idno type="wicri:Area/Main/Merge">000B90</idno>
<idno type="wicri:Area/Main/Curation">000B86</idno>
<idno type="wicri:Area/Main/Exploration">000B86</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations</title>
<author><name sortKey="Riley, Pete" sort="Riley, Pete" uniqKey="Riley P" first="Pete" last="Riley">Pete Riley</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ben Nun, Michal" sort="Ben Nun, Michal" uniqKey="Ben Nun M" first="Michal" last="Ben-Nun">Michal Ben-Nun</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Linker, Jon A" sort="Linker, Jon A" uniqKey="Linker J" first="Jon A." last="Linker">Jon A. Linker</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cost, Angelia A" sort="Cost, Angelia A" uniqKey="Cost A" first="Angelia A." last="Cost">Angelia A. Cost</name>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Armed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Armed Forces Health Surveillance Center, Silver Spring, Maryland</wicri:regionArea>
<placeName><region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Sanchez, Jose L" sort="Sanchez, Jose L" uniqKey="Sanchez J" first="Jose L." last="Sanchez">Jose L. Sanchez</name>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Armed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Armed Forces Health Surveillance Center, Silver Spring, Maryland</wicri:regionArea>
<placeName><region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="George, Dylan" sort="George, Dylan" uniqKey="George D" first="Dylan" last="George">Dylan George</name>
<affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Biomedical Advanced Research and Development Authority (BARDA), Assistant Secretary for Preparedness and Response (ASPR), Department of Health and Human Services (HHS), Washington, D.C., United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Biomedical Advanced Research and Development Authority (BARDA), Assistant Secretary for Preparedness and Response (ASPR), Department of Health and Human Services (HHS), Washington, D.C.</wicri:regionArea>
<wicri:noRegion>D.C.</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Bacon, David P" sort="Bacon, David P" uniqKey="Bacon D" first="David P." last="Bacon">David P. Bacon</name>
<affiliation wicri:level="2"><nlm:aff id="aff004"><addr-line>Leidos, McLean, Virginia, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Leidos, McLean, Virginia</wicri:regionArea>
<placeName><region type="state">Virginie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name>
<affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>Predictive Science Inc., San Diego, California, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Predictive Science Inc., San Diego, California</wicri:regionArea>
<placeName><region type="state">Californie</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:aff id="aff005"><addr-line>MRC Centre for Outbreak Analysis and Modelling, Imperial College London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</wicri:regionArea>
<wicri:noRegion>Imperial College London</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">PLoS Computational Biology</title>
<idno type="ISSN">1553-734X</idno>
<idno type="eISSN">1553-7358</idno>
<imprint><date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computational Biology (methods)</term>
<term>Databases, Factual</term>
<term>Humans</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (transmission)</term>
<term>Models, Biological</term>
<term>Pandemics (prevention & control)</term>
<term>Pandemics (statistics & numerical data)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Bases de données factuelles</term>
<term>Biologie informatique ()</term>
<term>Grippe humaine (transmission)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Modèles biologiques</term>
<term>Pandémies ()</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Pandemics</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Pandemics</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Databases, Factual</term>
<term>Humans</term>
<term>Models, Biological</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Bases de données factuelles</term>
<term>Biologie informatique</term>
<term>Humains</term>
<term>Modèles biologiques</term>
<term>Pandémies</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>The potential rapid availability of large-scale clinical episode data during the next influenza pandemic suggests an opportunity for increasing the speed with which novel respiratory pathogens can be characterized. Key intervention decisions will be determined by both the transmissibility of the novel strain (measured by the basic reproductive number <italic>R</italic>
<sub>0</sub>
) and its individual-level severity. The 2009 pandemic illustrated that estimating individual-level severity, as described by the proportion <italic>p</italic>
<sub><italic>C</italic>
</sub>
 of infections that result in clinical cases, can remain uncertain for a prolonged period of time. Here, we use 50 distinct US military populations during 2009 as a retrospective cohort to test the hypothesis that real-time encounter data combined with disease dynamic models can be used to bridge this uncertainty gap. Effectively, we estimated the total number of infections in multiple early-affected communities using the model and divided that number by the known number of clinical cases. Joint estimates of severity and transmissibility clustered within a relatively small region of parameter space, with 40 of the 50 populations bounded by: <italic>p</italic>
<sub><italic>C</italic>
</sub>
, 0.0133–0.150 and <italic>R</italic>
<sub>0</sub>
, 1.09–2.16. These fits were obtained despite widely varying incidence profiles: some with spring waves, some with fall waves and some with both. To illustrate the benefit of specific pairing of rapidly available data and infectious disease models, we simulated a future moderate pandemic strain with <italic>p</italic>
<sub><italic>C</italic>
</sub>
 approximately ×10 that of 2009; the results demonstrating that even before the peak had passed in the first affected population, <italic>R</italic>
<sub>0</sub>
 and <italic>p</italic>
<sub><italic>C</italic>
</sub>
 could be well estimated. This study provides a clear reference in this two-dimensional space against which future novel respiratory pathogens can be rapidly assessed and compared with previous pandemics.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Howe, D" uniqKey="Howe D">D Howe</name>
</author>
<author><name sortKey="Costanzo, M" uniqKey="Costanzo M">M Costanzo</name>
</author>
<author><name sortKey="Fey, P" uniqKey="Fey P">P Fey</name>
</author>
<author><name sortKey="Gojobori, T" uniqKey="Gojobori T">T Gojobori</name>
</author>
<author><name sortKey="Hannick, L" uniqKey="Hannick L">L Hannick</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hay, Si" uniqKey="Hay S">SI Hay</name>
</author>
<author><name sortKey="George, Db" uniqKey="George D">DB George</name>
</author>
<author><name sortKey="Moyes, Cl" uniqKey="Moyes C">CL Moyes</name>
</author>
<author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Heffernan, R" uniqKey="Heffernan R">R Heffernan</name>
</author>
<author><name sortKey="Mostashari, F" uniqKey="Mostashari F">F Mostashari</name>
</author>
<author><name sortKey="Das, D" uniqKey="Das D">D Das</name>
</author>
<author><name sortKey="Karpati, A" uniqKey="Karpati A">A Karpati</name>
</author>
<author><name sortKey="Kulldorff, M" uniqKey="Kulldorff M">M Kulldorff</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ginsberg, M" uniqKey="Ginsberg M">M Ginsberg</name>
</author>
<author><name sortKey="Hopkins, J" uniqKey="Hopkins J">J Hopkins</name>
</author>
<author><name sortKey="Maroufi, A" uniqKey="Maroufi A">A Maroufi</name>
</author>
<author><name sortKey="Dunne, G" uniqKey="Dunne G">G Dunne</name>
</author>
<author><name sortKey="Sunega, D" uniqKey="Sunega D">D Sunega</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Gao, R" uniqKey="Gao R">R Gao</name>
</author>
<author><name sortKey="Cao, B" uniqKey="Cao B">B Cao</name>
</author>
<author><name sortKey="Hu, Y" uniqKey="Hu Y">Y Hu</name>
</author>
<author><name sortKey="Feng, Z" uniqKey="Feng Z">Z Feng</name>
</author>
<author><name sortKey="Wang, D" uniqKey="Wang D">D Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author><name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
<author><name sortKey="Heffernan, Rt" uniqKey="Heffernan R">RT Heffernan</name>
</author>
<author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
<author><name sortKey="Redd" uniqKey="Redd">Redd</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author><name sortKey="Riley, S" uniqKey="Riley S">S Riley</name>
</author>
<author><name sortKey="Cauchemez, S" uniqKey="Cauchemez S">S Cauchemez</name>
</author>
<author><name sortKey="Ghani, Ac" uniqKey="Ghani A">AC Ghani</name>
</author>
<author><name sortKey="Ferguson, Nm" uniqKey="Ferguson N">NM Ferguson</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wu, Jt" uniqKey="Wu J">JT Wu</name>
</author>
<author><name sortKey="Riley, S" uniqKey="Riley S">S Riley</name>
</author>
<author><name sortKey="Fraser, C" uniqKey="Fraser C">C Fraser</name>
</author>
<author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Newall, At" uniqKey="Newall A">AT Newall</name>
</author>
<author><name sortKey="Wood, Jg" uniqKey="Wood J">JG Wood</name>
</author>
<author><name sortKey="Oudin, N" uniqKey="Oudin N">N Oudin</name>
</author>
<author><name sortKey="Macintyre, Cr" uniqKey="Macintyre C">CR MacIntyre</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Nichol, Kl" uniqKey="Nichol K">KL Nichol</name>
</author>
<author><name sortKey="Treanor, Jj" uniqKey="Treanor J">JJ Treanor</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Heesterbeek, Ja" uniqKey="Heesterbeek J">JA Heesterbeek</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fraser, C" uniqKey="Fraser C">C Fraser</name>
</author>
<author><name sortKey="Donnelly, Ca" uniqKey="Donnelly C">CA Donnelly</name>
</author>
<author><name sortKey="Cauchemez, S" uniqKey="Cauchemez S">S Cauchemez</name>
</author>
<author><name sortKey="Hanage, Wp" uniqKey="Hanage W">WP Hanage</name>
</author>
<author><name sortKey="Van Kerkhove, Md" uniqKey="Van Kerkhove M">MD Van Kerkhove</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Mills, Ce" uniqKey="Mills C">CE Mills</name>
</author>
<author><name sortKey="Robins, Jm" uniqKey="Robins J">JM Robins</name>
</author>
<author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Van Kerkhove, Md" uniqKey="Van Kerkhove M">MD van Kerkhove</name>
</author>
<author><name sortKey="Asikainen, T" uniqKey="Asikainen T">T Asikainen</name>
</author>
<author><name sortKey="Becker, Ng" uniqKey="Becker N">NG Becker</name>
</author>
<author><name sortKey="Bjorge, S" uniqKey="Bjorge S">S Bjorge</name>
</author>
<author><name sortKey="Desenclos, Jc" uniqKey="Desenclos J">JC Desenclos</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ferguson, Nm" uniqKey="Ferguson N">NM Ferguson</name>
</author>
<author><name sortKey="Cummings, Da" uniqKey="Cummings D">DA Cummings</name>
</author>
<author><name sortKey="Cauchemez, S" uniqKey="Cauchemez S">S Cauchemez</name>
</author>
<author><name sortKey="Fraser, C" uniqKey="Fraser C">C Fraser</name>
</author>
<author><name sortKey="Riley, S" uniqKey="Riley S">S Riley</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Longini, Im" uniqKey="Longini I">IM Longini</name>
</author>
<author><name sortKey="Nizam, A" uniqKey="Nizam A">A Nizam</name>
</author>
<author><name sortKey="Xu, S" uniqKey="Xu S">S Xu</name>
</author>
<author><name sortKey="Ungchusak, K" uniqKey="Ungchusak K">K Ungchusak</name>
</author>
<author><name sortKey="Hanshaoworakul, W" uniqKey="Hanshaoworakul W">W Hanshaoworakul</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wong, Jy" uniqKey="Wong J">JY Wong</name>
</author>
<author><name sortKey="Wu, P" uniqKey="Wu P">P Wu</name>
</author>
<author><name sortKey="Nishiura, H" uniqKey="Nishiura H">H Nishiura</name>
</author>
<author><name sortKey="Goldstein, E" uniqKey="Goldstein E">E Goldstein</name>
</author>
<author><name sortKey="Lau, Eh" uniqKey="Lau E">EH Lau</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Riley, S" uniqKey="Riley S">S Riley</name>
</author>
<author><name sortKey="Kwok, Ko" uniqKey="Kwok K">KO Kwok</name>
</author>
<author><name sortKey="Wu, Km" uniqKey="Wu K">KM Wu</name>
</author>
<author><name sortKey="Ning, Dy" uniqKey="Ning D">DY Ning</name>
</author>
<author><name sortKey="Cowling, Bj" uniqKey="Cowling B">BJ Cowling</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Olson, Dr" uniqKey="Olson D">DR Olson</name>
</author>
<author><name sortKey="Simonsen, L" uniqKey="Simonsen L">L Simonsen</name>
</author>
<author><name sortKey="Edelson, Pj" uniqKey="Edelson P">PJ Edelson</name>
</author>
<author><name sortKey="Morse, Ss" uniqKey="Morse S">SS Morse</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Van Kerkhove, Md" uniqKey="Van Kerkhove M">MD Van Kerkhove</name>
</author>
<author><name sortKey="Riley, S" uniqKey="Riley S">S Riley</name>
</author>
<author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author><name sortKey="Guan, Y" uniqKey="Guan Y">Y Guan</name>
</author>
<author><name sortKey="Monto, As" uniqKey="Monto A">AS Monto</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Morse, Ss" uniqKey="Morse S">SS Morse</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Reed, C" uniqKey="Reed C">C Reed</name>
</author>
<author><name sortKey="Biggerstaff, M" uniqKey="Biggerstaff M">M Biggerstaff</name>
</author>
<author><name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
<author><name sortKey="Koonin, Lm" uniqKey="Koonin L">LM Koonin</name>
</author>
<author><name sortKey="Beauvais, D" uniqKey="Beauvais D">D Beauvais</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Riley, P" uniqKey="Riley P">P Riley</name>
</author>
<author><name sortKey="Ben Nun, M" uniqKey="Ben Nun M">M Ben-Nun</name>
</author>
<author><name sortKey="Armenta, R" uniqKey="Armenta R">R Armenta</name>
</author>
<author><name sortKey="Linker, Ja" uniqKey="Linker J">JA Linker</name>
</author>
<author><name sortKey="Eick, Aa" uniqKey="Eick A">AA Eick</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Marsden Haug, N" uniqKey="Marsden Haug N">N Marsden-Haug</name>
</author>
<author><name sortKey="Foster, Vb" uniqKey="Foster V">VB Foster</name>
</author>
<author><name sortKey="Gould, Pl" uniqKey="Gould P">PL Gould</name>
</author>
<author><name sortKey="Elbert, E" uniqKey="Elbert E">E Elbert</name>
</author>
<author><name sortKey="Wang, H" uniqKey="Wang H">H Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Gilks, W" uniqKey="Gilks W">W Gilks</name>
</author>
<author><name sortKey="Richardson, S" uniqKey="Richardson S">S Richardson</name>
</author>
<author><name sortKey="Spiegelhalter, D" uniqKey="Spiegelhalter D">D Spiegelhalter</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fleming, Dm" uniqKey="Fleming D">DM Fleming</name>
</author>
<author><name sortKey="Elliot, Aj" uniqKey="Elliot A">AJ Elliot</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fisman, Dn" uniqKey="Fisman D">DN Fisman</name>
</author>
<author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
<author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yang, W" uniqKey="Yang W">W Yang</name>
</author>
<author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author><name sortKey="Shaman, J" uniqKey="Shaman J">J Shaman</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Anderson, Sj" uniqKey="Anderson S">SJ Anderson</name>
</author>
<author><name sortKey="Cherutich, P" uniqKey="Cherutich P">P Cherutich</name>
</author>
<author><name sortKey="Kilonzo, N" uniqKey="Kilonzo N">N Kilonzo</name>
</author>
<author><name sortKey="Cremin, I" uniqKey="Cremin I">I Cremin</name>
</author>
<author><name sortKey="Fecht, D" uniqKey="Fecht D">D Fecht</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Reed, C" uniqKey="Reed C">C Reed</name>
</author>
<author><name sortKey="Angulo, Fj" uniqKey="Angulo F">FJ Angulo</name>
</author>
<author><name sortKey="Swerdlow, Dl" uniqKey="Swerdlow D">DL Swerdlow</name>
</author>
<author><name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author><name sortKey="Meltzer, Mi" uniqKey="Meltzer M">MI Meltzer</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Simonsen, L" uniqKey="Simonsen L">L Simonsen</name>
</author>
<author><name sortKey="Spreeuwenberg, P" uniqKey="Spreeuwenberg P">P Spreeuwenberg</name>
</author>
<author><name sortKey="Lustig, R" uniqKey="Lustig R">R Lustig</name>
</author>
<author><name sortKey="Taylor, Rj" uniqKey="Taylor R">RJ Taylor</name>
</author>
<author><name sortKey="Fleming, Dm" uniqKey="Fleming D">DM Fleming</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Shaman, J" uniqKey="Shaman J">J Shaman</name>
</author>
<author><name sortKey="Karspeck, A" uniqKey="Karspeck A">A Karspeck</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations><list><country><li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region><li>Californie</li>
<li>Maryland</li>
<li>Virginie</li>
</region>
</list>
<tree><country name="États-Unis"><region name="Californie"><name sortKey="Riley, Pete" sort="Riley, Pete" uniqKey="Riley P" first="Pete" last="Riley">Pete Riley</name>
</region>
<name sortKey="Bacon, David P" sort="Bacon, David P" uniqKey="Bacon D" first="David P." last="Bacon">David P. Bacon</name>
<name sortKey="Ben Nun, Michal" sort="Ben Nun, Michal" uniqKey="Ben Nun M" first="Michal" last="Ben-Nun">Michal Ben-Nun</name>
<name sortKey="Cost, Angelia A" sort="Cost, Angelia A" uniqKey="Cost A" first="Angelia A." last="Cost">Angelia A. Cost</name>
<name sortKey="George, Dylan" sort="George, Dylan" uniqKey="George D" first="Dylan" last="George">Dylan George</name>
<name sortKey="Linker, Jon A" sort="Linker, Jon A" uniqKey="Linker J" first="Jon A." last="Linker">Jon A. Linker</name>
<name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name>
<name sortKey="Sanchez, Jose L" sort="Sanchez, Jose L" uniqKey="Sanchez J" first="Jose L." last="Sanchez">Jose L. Sanchez</name>
</country>
<country name="Royaume-Uni"><noRegion><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B86 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000B86 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     PMC:4581836
   |texte=   Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:26402446" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021

Serveur d'exploration sur les pandémies grippales

Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations

Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration sur les pandémies grippales
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.