PandemieGrippaleV1, PascalFrancis, Curation, bibRecord, 001B93

Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)

Identifieur interne : 001B93 ( PascalFrancis/Curation ); précédent : 001B92; suivant : 001B94

Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)

Auteurs : Manoj Gambhir [États-Unis, Royaume-Uni] ; David L. Swerdlow [États-Unis] ; Lyn Finelli [États-Unis] ; Maria D. Van Kerkhove [Royaume-Uni] ; Matthew Biggerstaff [États-Unis] ; Simon Cauchemez [Royaume-Uni] ; Neil M. Ferguson [Royaume-Uni]

Source :

Clinical infectious diseases [ 1058-4838 ] ; 2013.

RBID : Pascal:13-0281409

Descripteurs français

Pascal (Inist)
- Grippe A, Multiple, Classe âge, Etude cas, Modélisation, Homme.
Wicri :
- topic : Homme.

English descriptors

KwdEn :
- Age distribution, Case study, Human, Influenza A, Modeling, Multiple.

Abstract

Background. In late 2011 and early 2012, 13 cases of human influenza resulted from infection with a novel triple reassortant swine-origin influenza virus, influenza A (H3N2) variant. This variant was notable for its inclusion of the matrix gene from the 2009 influenza A(H1N1) pandemic virus. While most of these confirmed cases were among children, the transmission potential and likely age-dependent susceptibility to the virus was unknown. Preliminary serologic studies indicated that very young children have less protection than older children and adults. Methods. We construct a mathematical transmission model of influenza transmission that allows for external zoonotic exposure to infection and show how exposure and susceptibility-related factors contribute to the observed case distribution. Results and Conclusions. Age-dependent susceptibility to infection strongly influences epidemic dynamics. The result is that the risk of an outbreak in a highly susceptible age group may be substantially higher than in an older age group with less susceptibility, but exposure-related factors must also be accounted for when interpreting case data.

A01	`01`	`1`		`@0 1058-4838`
A02	`01`			`@0 CIDIEL`
A03		`1`		`@0 Clin. infect. dis.`
A05				`@2 57`
A06				`@3 SUP1`
A08	`01`	`1`	`ENG`	`@1 Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)`
A09	`01`	`1`	`ENG`	`@1 The Emergence of Influenza A (H3N2)v Virus: What We Learned From the First Wave, July 2011-April 2012`
A11	`01`	`1`		`@1 GAMBHIR (Manoj)`
A11	`02`	`1`		`@1 SWERDLOW (David L.)`
A11	`03`	`1`		`@1 FINELLI (Lyn)`
A11	`04`	`1`		`@1 VAN KERKHOVE (Maria D.)`
A11	`05`	`1`		`@1 BIGGERSTAFF (Matthew)`
A11	`06`	`1`		`@1 CAUCHEMEZ (Simon)`
A11	`07`	`1`		`@1 FERGUSON (Neil M.)`
A12	`01`	`1`		`@1 SWERDLOW (David L.) @9 ed.`
A12	`02`	`1`		`@1 FINELLI (Lyn) @9 ed.`
A14	`01`			`@1 Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention @2 Atlanta, Georgia @3 USA @Z 1 aut. @Z 2 aut.`
A14	`02`			`@1 MRC Centre for Outbreak Analysis and Modelling, Imperial College London @3 GBR @Z 1 aut. @Z 4 aut. @Z 6 aut. @Z 7 aut.`
A14	`03`			`@1 Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention @2 Atlanta, Georgia @3 USA @Z 3 aut. @Z 5 aut.`
A15	`01`			`@1 National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention @2 Atlanta, Georgia @3 USA @Z 1 aut.`
A15	`02`			`@1 Influenza Division, National Center for Immunization and Respiratory Diseases @2 Atlanta, Georgia @3 USA @Z 2 aut.`
A20				`@2 S23-S27`
A21				`@1 2013`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 18407 @5 354000503881080050`
A44				`@0 0000 @1 © 2013 INIST-CNRS. All rights reserved.`
A45				`@0 24 ref.`
A47	`01`	`1`		`@0 13-0281409`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Clinical infectious diseases`
A66	`01`			`@0 GBR`
C01	`01`		`ENG`	@0 Background. In late 2011 and early 2012, 13 cases of human influenza resulted from infection with a novel triple reassortant swine-origin influenza virus, influenza A (H3N2) variant. This variant was notable for its inclusion of the matrix gene from the 2009 influenza A(H1N1) pandemic virus. While most of these confirmed cases were among children, the transmission potential and likely age-dependent susceptibility to the virus was unknown. Preliminary serologic studies indicated that very young children have less protection than older children and adults. Methods. We construct a mathematical transmission model of influenza transmission that allows for external zoonotic exposure to infection and show how exposure and susceptibility-related factors contribute to the observed case distribution. Results and Conclusions. Age-dependent susceptibility to infection strongly influences epidemic dynamics. The result is that the risk of an outbreak in a highly susceptible age group may be substantially higher than in an older age group with less susceptibility, but exposure-related factors must also be accounted for when interpreting case data.
C02	`01`	`X`		`@0 002B05C02C`
C03	`01`	`X`	`FRE`	`@0 Grippe A @5 01`
C03	`01`	`X`	`ENG`	`@0 Influenza A @5 01`
C03	`01`	`X`	`SPA`	`@0 Gripe A @5 01`
C03	`02`	`X`	`FRE`	`@0 Multiple @5 07`
C03	`02`	`X`	`ENG`	`@0 Multiple @5 07`
C03	`02`	`X`	`SPA`	`@0 Múltiple @5 07`
C03	`03`	`X`	`FRE`	`@0 Classe âge @5 08`
C03	`03`	`X`	`ENG`	`@0 Age distribution @5 08`
C03	`03`	`X`	`SPA`	`@0 Clase edad @5 08`
C03	`04`	`X`	`FRE`	`@0 Etude cas @5 09`
C03	`04`	`X`	`ENG`	`@0 Case study @5 09`
C03	`04`	`X`	`SPA`	`@0 Estudio caso @5 09`
C03	`05`	`X`	`FRE`	`@0 Modélisation @5 13`
C03	`05`	`X`	`ENG`	`@0 Modeling @5 13`
C03	`05`	`X`	`SPA`	`@0 Modelización @5 13`
C03	`06`	`X`	`FRE`	`@0 Homme @5 30`
C03	`06`	`X`	`ENG`	`@0 Human @5 30`
C03	`06`	`X`	`SPA`	`@0 Hombre @5 30`
C07	`01`	`X`	`FRE`	`@0 Virose`
C07	`01`	`X`	`ENG`	`@0 Viral disease`
C07	`01`	`X`	`SPA`	`@0 Virosis`
C07	`02`	`X`	`FRE`	`@0 Infection`
C07	`02`	`X`	`ENG`	`@0 Infection`
C07	`02`	`X`	`SPA`	`@0 Infección`
N21				`@1 266`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

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

to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000234

Links to Exploration step

Pascal:13-0281409

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)</title>
<author><name sortKey="Gambhir, Manoj" sort="Gambhir, Manoj" uniqKey="Gambhir M" first="Manoj" last="Gambhir">Manoj Gambhir</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Swerdlow, David L" sort="Swerdlow, David L" uniqKey="Swerdlow D" first="David L." last="Swerdlow">David L. Swerdlow</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Finelli, Lyn" sort="Finelli, Lyn" uniqKey="Finelli L" first="Lyn" last="Finelli">Lyn Finelli</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Van Kerkhove, Maria D" sort="Van Kerkhove, Maria D" uniqKey="Van Kerkhove M" first="Maria D." last="Van Kerkhove">Maria D. Van Kerkhove</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Biggerstaff, Matthew" sort="Biggerstaff, Matthew" uniqKey="Biggerstaff M" first="Matthew" last="Biggerstaff">Matthew Biggerstaff</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Ferguson, Neil M" sort="Ferguson, Neil M" uniqKey="Ferguson N" first="Neil M." last="Ferguson">Neil M. Ferguson</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">13-0281409</idno>
<date when="2013">2013</date>
<idno type="stanalyst">PASCAL 13-0281409 INIST</idno>
<idno type="RBID">Pascal:13-0281409</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000234</idno>
<idno type="wicri:Area/PascalFrancis/Curation">001B93</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)</title>
<author><name sortKey="Gambhir, Manoj" sort="Gambhir, Manoj" uniqKey="Gambhir M" first="Manoj" last="Gambhir">Manoj Gambhir</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Swerdlow, David L" sort="Swerdlow, David L" uniqKey="Swerdlow D" first="David L." last="Swerdlow">David L. Swerdlow</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Finelli, Lyn" sort="Finelli, Lyn" uniqKey="Finelli L" first="Lyn" last="Finelli">Lyn Finelli</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Van Kerkhove, Maria D" sort="Van Kerkhove, Maria D" uniqKey="Van Kerkhove M" first="Maria D." last="Van Kerkhove">Maria D. Van Kerkhove</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Biggerstaff, Matthew" sort="Biggerstaff, Matthew" uniqKey="Biggerstaff M" first="Matthew" last="Biggerstaff">Matthew Biggerstaff</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
<author><name sortKey="Ferguson, Neil M" sort="Ferguson, Neil M" uniqKey="Ferguson N" first="Neil M." last="Ferguson">Neil M. Ferguson</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Clinical infectious diseases</title>
<title level="j" type="abbreviated">Clin. infect. dis.</title>
<idno type="ISSN">1058-4838</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Clinical infectious diseases</title>
<title level="j" type="abbreviated">Clin. infect. dis.</title>
<idno type="ISSN">1058-4838</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age distribution</term>
<term>Case study</term>
<term>Human</term>
<term>Influenza A</term>
<term>Modeling</term>
<term>Multiple</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Grippe A</term>
<term>Multiple</term>
<term>Classe âge</term>
<term>Etude cas</term>
<term>Modélisation</term>
<term>Homme</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Background. In late 2011 and early 2012, 13 cases of human influenza resulted from infection with a novel triple reassortant swine-origin influenza virus, influenza A (H3N2) variant. This variant was notable for its inclusion of the matrix gene from the 2009 influenza A(H1N1) pandemic virus. While most of these confirmed cases were among children, the transmission potential and likely age-dependent susceptibility to the virus was unknown. Preliminary serologic studies indicated that very young children have less protection than older children and adults. Methods. We construct a mathematical transmission model of influenza transmission that allows for external zoonotic exposure to infection and show how exposure and susceptibility-related factors contribute to the observed case distribution. Results and Conclusions. Age-dependent susceptibility to infection strongly influences epidemic dynamics. The result is that the risk of an outbreak in a highly susceptible age group may be substantially higher than in an older age group with less susceptibility, but exposure-related factors must also be accounted for when interpreting case data.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>1058-4838</s0>
</fA01>
<fA02 i1="01"><s0>CIDIEL</s0>
</fA02>
<fA03 i2="1"><s0>Clin. infect. dis.</s0>
</fA03>
<fA05><s2>57</s2>
</fA05>
<fA06><s3>SUP1</s3>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>The Emergence of Influenza A (H3N2)v Virus: What We Learned From the First Wave, July 2011-April 2012</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>GAMBHIR (Manoj)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>SWERDLOW (David L.)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>FINELLI (Lyn)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>VAN KERKHOVE (Maria D.)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>BIGGERSTAFF (Matthew)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>CAUCHEMEZ (Simon)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>FERGUSON (Neil M.)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>SWERDLOW (David L.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>FINELLI (Lyn)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>Modeling Unit, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>MRC Centre for Outbreak Analysis and Modelling, Imperial College London</s1>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA15 i1="02"><s1>Influenza Division, National Center for Immunization and Respiratory Diseases</s1>
<s2>Atlanta, Georgia</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</fA15>
<fA20><s2>S23-S27</s2>
</fA20>
<fA21><s1>2013</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>18407</s2>
<s5>354000503881080050</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>24 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>13-0281409</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Clinical infectious diseases</s0>
</fA64>
<fA66 i1="01"><s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Background. In late 2011 and early 2012, 13 cases of human influenza resulted from infection with a novel triple reassortant swine-origin influenza virus, influenza A (H3N2) variant. This variant was notable for its inclusion of the matrix gene from the 2009 influenza A(H1N1) pandemic virus. While most of these confirmed cases were among children, the transmission potential and likely age-dependent susceptibility to the virus was unknown. Preliminary serologic studies indicated that very young children have less protection than older children and adults. Methods. We construct a mathematical transmission model of influenza transmission that allows for external zoonotic exposure to infection and show how exposure and susceptibility-related factors contribute to the observed case distribution. Results and Conclusions. Age-dependent susceptibility to infection strongly influences epidemic dynamics. The result is that the risk of an outbreak in a highly susceptible age group may be substantially higher than in an older age group with less susceptibility, but exposure-related factors must also be accounted for when interpreting case data.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B05C02C</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Grippe A</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Influenza A</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Gripe A</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Multiple</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Multiple</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Múltiple</s0>
<s5>07</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Classe âge</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Age distribution</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Clase edad</s0>
<s5>08</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Etude cas</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Case study</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Estudio caso</s0>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>13</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Modeling</s0>
<s5>13</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Modelización</s0>
<s5>13</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Homme</s0>
<s5>30</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Human</s0>
<s5>30</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Hombre</s0>
<s5>30</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Virose</s0>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Viral disease</s0>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Virosis</s0>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Infection</s0>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Infection</s0>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Infección</s0>
</fC07>
<fN21><s1>266</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PascalFrancis/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001B93 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 001B93 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:13-0281409
   |texte=   Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)
}}

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
	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.

Serveur d'exploration sur les pandémies grippales

Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)

Multiple Contributory Factors to the Age Distribution of Disease Cases: A Modeling Study in the Context of Influenza A(H3N2v)

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri