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.

Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic

Identifieur interne : 001736 ( Ncbi/Curation ); précédent : 001735; suivant : 001737

Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic

Auteurs : Masaya M. Saito [Japon] ; Seiya Imoto [Japon] ; Rui Yamaguchi [Japon] ; Masaharu Tsubokura [Japon] ; Masahiro Kami [Japon] ; Haruka Nakada [Japon] ; Hiroki Sato [Japon] ; Satoru Miyano [Japon] ; Tomoyuki Higuchi [Japon]

Source :

RBID : PMC:3776821

Descripteurs français

English descriptors

Abstract

Vaccination is a preventive measure against influenza that does not require placing restrictions on social activities. However, since the stockpile of vaccine that can be prepared before the arrival of an emerging pandemic strain is generally quite limited, one has to select priority target groups to which the first stockpile is distributed. In this paper, we study a simulation-based priority target selection method with the goal of enhancing the collective immunity of the whole population. To model the region in which the disease spreads, we consider an urban area composed of suburbs and central areas connected by a single commuter train line. Human activity is modelled following an agent-based approach. The degree to which collective immunity is enhanced is judged by the attack rate in unvaccinated people. The simulation results show that if students and office workers are given exclusive priority in the first three months, the attack rate can be reduced from in the baseline case down to 1–2%. In contrast, random vaccination only slightly reduces the attack rate. It should be noted that giving preference to active social groups does not mean sacrificing those at high risk, which corresponds to the elderly in our simulation model. Compared with the random administration of vaccine to all social groups, this design successfully reduces the attack rate across all age groups.


Url:
DOI: 10.1371/journal.pone.0072866
PubMed: 24058445
PubMed Central: 3776821

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


Links to Exploration step

PMC:3776821

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic</title>
<author>
<name sortKey="Saito, Masaya M" sort="Saito, Masaya M" uniqKey="Saito M" first="Masaya M." last="Saito">Masaya M. Saito</name>
<affiliation wicri:level="3">
<nlm:aff id="aff1">
<addr-line>Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Institute of Statistical Mathematics, Tachikawa, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Imoto, Seiya" sort="Imoto, Seiya" uniqKey="Imoto S" first="Seiya" last="Imoto">Seiya Imoto</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Yamaguchi, Rui" sort="Yamaguchi, Rui" uniqKey="Yamaguchi R" first="Rui" last="Yamaguchi">Rui Yamaguchi</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Tsubokura, Masaharu" sort="Tsubokura, Masaharu" uniqKey="Tsubokura M" first="Masaharu" last="Tsubokura">Masaharu Tsubokura</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Kami, Masahiro" sort="Kami, Masahiro" uniqKey="Kami M" first="Masahiro" last="Kami">Masahiro Kami</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Nakada, Haruka" sort="Nakada, Haruka" uniqKey="Nakada H" first="Haruka" last="Nakada">Haruka Nakada</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Sato, Hiroki" sort="Sato, Hiroki" uniqKey="Sato H" first="Hiroki" last="Sato">Hiroki Sato</name>
<affiliation wicri:level="1">
<nlm:aff id="aff4">
<addr-line>Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Saitama, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Saitama</wicri:regionArea>
<wicri:noRegion>Saitama</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Miyano, Satoru" sort="Miyano, Satoru" uniqKey="Miyano S" first="Satoru" last="Miyano">Satoru Miyano</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Higuchi, Tomoyuki" sort="Higuchi, Tomoyuki" uniqKey="Higuchi T" first="Tomoyuki" last="Higuchi">Tomoyuki Higuchi</name>
<affiliation wicri:level="3">
<nlm:aff id="aff1">
<addr-line>Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Institute of Statistical Mathematics, Tachikawa, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">24058445</idno>
<idno type="pmc">3776821</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776821</idno>
<idno type="RBID">PMC:3776821</idno>
<idno type="doi">10.1371/journal.pone.0072866</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">000D72</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000D72</idno>
<idno type="wicri:Area/Pmc/Curation">000D72</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000D72</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000608</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000608</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:24058445</idno>
<idno type="wicri:Area/PubMed/Corpus">000944</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000944</idno>
<idno type="wicri:Area/PubMed/Curation">000944</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000944</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000A33</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000A33</idno>
<idno type="wicri:Area/Ncbi/Merge">001736</idno>
<idno type="wicri:Area/Ncbi/Curation">001736</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic</title>
<author>
<name sortKey="Saito, Masaya M" sort="Saito, Masaya M" uniqKey="Saito M" first="Masaya M." last="Saito">Masaya M. Saito</name>
<affiliation wicri:level="3">
<nlm:aff id="aff1">
<addr-line>Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Institute of Statistical Mathematics, Tachikawa, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Imoto, Seiya" sort="Imoto, Seiya" uniqKey="Imoto S" first="Seiya" last="Imoto">Seiya Imoto</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Yamaguchi, Rui" sort="Yamaguchi, Rui" uniqKey="Yamaguchi R" first="Rui" last="Yamaguchi">Rui Yamaguchi</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Tsubokura, Masaharu" sort="Tsubokura, Masaharu" uniqKey="Tsubokura M" first="Masaharu" last="Tsubokura">Masaharu Tsubokura</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Kami, Masahiro" sort="Kami, Masahiro" uniqKey="Kami M" first="Masahiro" last="Kami">Masahiro Kami</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Nakada, Haruka" sort="Nakada, Haruka" uniqKey="Nakada H" first="Haruka" last="Nakada">Haruka Nakada</name>
<affiliation wicri:level="4">
<nlm:aff id="aff3">
<addr-line>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Division of Social Communication Systems for Advanced Clinical Research, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Sato, Hiroki" sort="Sato, Hiroki" uniqKey="Sato H" first="Hiroki" last="Sato">Hiroki Sato</name>
<affiliation wicri:level="1">
<nlm:aff id="aff4">
<addr-line>Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Saitama, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Saitama</wicri:regionArea>
<wicri:noRegion>Saitama</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Miyano, Satoru" sort="Miyano, Satoru" uniqKey="Miyano S" first="Satoru" last="Miyano">Satoru Miyano</name>
<affiliation wicri:level="4">
<nlm:aff id="aff2">
<addr-line>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
<orgName type="university">Université de Tokyo</orgName>
</affiliation>
</author>
<author>
<name sortKey="Higuchi, Tomoyuki" sort="Higuchi, Tomoyuki" uniqKey="Higuchi T" first="Tomoyuki" last="Higuchi">Tomoyuki Higuchi</name>
<affiliation wicri:level="3">
<nlm:aff id="aff1">
<addr-line>Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan</addr-line>
</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Institute of Statistical Mathematics, Tachikawa, Tokyo</wicri:regionArea>
<placeName>
<settlement type="city">Tokyo</settlement>
<region type="région">Région de Kantō</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Computer Simulation</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza Vaccines (immunology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (immunology)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Models, Statistical</term>
<term>Pandemics</term>
<term>Tokyo (epidemiology)</term>
<term>Transportation</term>
<term>Urban Population</term>
<term>Vaccination</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Grippe humaine ()</term>
<term>Grippe humaine (immunologie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Pandémies</term>
<term>Population urbaine</term>
<term>Simulation numérique</term>
<term>Sujet âgé</term>
<term>Tokyo (épidémiologie)</term>
<term>Transports</term>
<term>Vaccination</term>
<term>Vaccins antigrippaux (administration et posologie)</term>
<term>Vaccins antigrippaux (immunologie)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en">
<term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="immunology" xml:lang="en">
<term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Tokyo</term>
</keywords>
<keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr">
<term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr">
<term>Grippe humaine</term>
<term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Grippe humaine</term>
<term>Tokyo</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Computer Simulation</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Models, Statistical</term>
<term>Pandemics</term>
<term>Transportation</term>
<term>Urban Population</term>
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Grippe humaine</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Pandémies</term>
<term>Population urbaine</term>
<term>Simulation numérique</term>
<term>Sujet âgé</term>
<term>Transports</term>
<term>Vaccination</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Vaccination is a preventive measure against influenza that does not require placing restrictions on social activities. However, since the stockpile of vaccine that can be prepared before the arrival of an emerging pandemic strain is generally quite limited, one has to select priority target groups to which the first stockpile is distributed. In this paper, we study a simulation-based priority target selection method with the goal of enhancing the collective immunity of the whole population. To model the region in which the disease spreads, we consider an urban area composed of suburbs and central areas connected by a single commuter train line. Human activity is modelled following an agent-based approach. The degree to which collective immunity is enhanced is judged by the attack rate in unvaccinated people. The simulation results show that if students and office workers are given exclusive priority in the first three months, the attack rate can be reduced from
<inline-formula>
<inline-graphic xlink:href="pone.0072866.e001.jpg"></inline-graphic>
</inline-formula>
in the baseline case down to 1–2%. In contrast, random vaccination only slightly reduces the attack rate. It should be noted that giving preference to active social groups does not mean sacrificing those at high risk, which corresponds to the elderly in our simulation model. Compared with the random administration of vaccine to all social groups, this design successfully reduces the attack rate across all age groups.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Kerkhove, Mdv" uniqKey="Kerkhove M">MDV Kerkhove</name>
</author>
<author>
<name sortKey="Vandemaele, Kah" uniqKey="Vandemaele K">KAH Vandemaele</name>
</author>
<author>
<name sortKey="Shinde, V" uniqKey="Shinde V">V Shinde</name>
</author>
<author>
<name sortKey="Jaramillo Gutierrez, G" uniqKey="Jaramillo Gutierrez G">G Jaramillo-Gutierrez</name>
</author>
<author>
<name sortKey="Koukounari, A" uniqKey="Koukounari A">A Koukounari</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sha, L" uniqKey="Sha L">L Sha</name>
</author>
<author>
<name sortKey="Zhu, R" uniqKey="Zhu R">R Zhu</name>
</author>
<author>
<name sortKey="Cao, L" uniqKey="Cao L">L Cao</name>
</author>
<author>
<name sortKey="Yuan, Y" uniqKey="Yuan Y">Y Yuan</name>
</author>
<author>
<name sortKey="Li, Y" uniqKey="Li Y">Y Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ferguson, Nm" uniqKey="Ferguson N">NM Ferguson</name>
</author>
<author>
<name sortKey="Cummings, Dat" uniqKey="Cummings D">DAT 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="Ferguson, Nm" uniqKey="Ferguson N">NM Ferguson</name>
</author>
<author>
<name sortKey="Cummings, Dat" uniqKey="Cummings D">DAT Cummings</name>
</author>
<author>
<name sortKey="Fraser, C" uniqKey="Fraser C">C Fraser</name>
</author>
<author>
<name sortKey="Cajka, Jc" uniqKey="Cajka J">JC Cajka</name>
</author>
<author>
<name sortKey="Cooley, Pc" uniqKey="Cooley P">PC Cooley</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sato, H" uniqKey="Sato H">H Sato</name>
</author>
<author>
<name sortKey="Nakada, H" uniqKey="Nakada H">H Nakada</name>
</author>
<author>
<name sortKey="Yamaguchi, R" uniqKey="Yamaguchi R">R Yamaguchi</name>
</author>
<author>
<name sortKey="Imoto, S" uniqKey="Imoto S">S Imoto</name>
</author>
<author>
<name sortKey="Miyano, S" uniqKey="Miyano S">S Miyano</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kermack, Wo" uniqKey="Kermack W">WO Kermack</name>
</author>
<author>
<name sortKey="Mckendrick, Ag" uniqKey="Mckendrick A">AG McKendrick</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dawood, F" uniqKey="Dawood F">F Dawood</name>
</author>
<author>
<name sortKey="Jain, S" uniqKey="Jain S">S Jain</name>
</author>
<author>
<name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
<author>
<name sortKey="Shaw, M" uniqKey="Shaw M">M Shaw</name>
</author>
<author>
<name sortKey="Lindstrom, S" uniqKey="Lindstrom S">S Lindstrom</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Germann, Tc" uniqKey="Germann T">TC Germann</name>
</author>
<author>
<name sortKey="Kadau, K" uniqKey="Kadau K">K Kadau</name>
</author>
<author>
<name sortKey="Ira, M" uniqKey="Ira M">M Ira</name>
</author>
<author>
<name sortKey="Longini, J" uniqKey="Longini J">J Longini</name>
</author>
<author>
<name sortKey="Macken, Ca" uniqKey="Macken C">CA Macken</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cooley, P" uniqKey="Cooley P">P Cooley</name>
</author>
<author>
<name sortKey="Brown, S" uniqKey="Brown S">S Brown</name>
</author>
<author>
<name sortKey="Cajka, J" uniqKey="Cajka J">J Cajka</name>
</author>
<author>
<name sortKey="Chasteen, B" uniqKey="Chasteen B">B Chasteen</name>
</author>
<author>
<name sortKey="Ganapathi, L" uniqKey="Ganapathi L">L Ganapathi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Feigin, R" uniqKey="Feigin R">R Feigin</name>
</author>
<author>
<name sortKey="Baker, C" uniqKey="Baker C">C Baker</name>
</author>
<author>
<name sortKey="Herwaldt, L" uniqKey="Herwaldt L">L Herwaldt</name>
</author>
<author>
<name sortKey="Lampe, R" uniqKey="Lampe R">R Lampe</name>
</author>
<author>
<name sortKey="Mason, E" uniqKey="Mason E">E Mason</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dick, E" uniqKey="Dick E">E Dick</name>
</author>
<author>
<name sortKey="Jennings, L" uniqKey="Jennings L">L Jennings</name>
</author>
<author>
<name sortKey="Mink, K" uniqKey="Mink K">K Mink</name>
</author>
<author>
<name sortKey="Wartgow, C" uniqKey="Wartgow C">C Wartgow</name>
</author>
<author>
<name sortKey="Inhorn, S" uniqKey="Inhorn S">S Inhorn</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Duguid, J" uniqKey="Duguid J">J Duguid</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jefferson, T" uniqKey="Jefferson T">T Jefferson</name>
</author>
<author>
<name sortKey="Rivetti, A" uniqKey="Rivetti A">A Rivetti</name>
</author>
<author>
<name sortKey="Harnden, A" uniqKey="Harnden A">A Harnden</name>
</author>
<author>
<name sortKey="Pietrantonj, Cd" uniqKey="Pietrantonj C">CD Pietrantonj</name>
</author>
<author>
<name sortKey="Demicheli, V" uniqKey="Demicheli V">V Demicheli</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jefferson, T" uniqKey="Jefferson T">T Jefferson</name>
</author>
<author>
<name sortKey="Pietrantonj, Cd" uniqKey="Pietrantonj C">CD Pietrantonj</name>
</author>
<author>
<name sortKey="Rivetti, A" uniqKey="Rivetti A">A Rivetti</name>
</author>
<author>
<name sortKey="Bawazeer, Ga" uniqKey="Bawazeer G">GA Bawazeer</name>
</author>
<author>
<name sortKey="Al Ansary, La" uniqKey="Al Ansary L">LA Al-Ansary</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jefferson, T" uniqKey="Jefferson T">T Jefferson</name>
</author>
<author>
<name sortKey="Pietrantonj, Cd" uniqKey="Pietrantonj C">CD Pietrantonj</name>
</author>
<author>
<name sortKey="Al Ansary, L" uniqKey="Al Ansary L">L Al-Ansary</name>
</author>
<author>
<name sortKey="Ferroni, E" uniqKey="Ferroni E">E Ferroni</name>
</author>
<author>
<name sortKey="Thorning, S" uniqKey="Thorning S">S Thorning</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Geoffery, Aw" uniqKey="Geoffery A">AW Geoffery</name>
</author>
<author>
<name sortKey="Perter, Gs" uniqKey="Perter G">GS Perter</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Inaida, S" uniqKey="Inaida S">S Inaida</name>
</author>
<author>
<name sortKey="Yasui, Y" uniqKey="Yasui Y">Y Yasui</name>
</author>
<author>
<name sortKey="Tada, Y" uniqKey="Tada Y">Y Tada</name>
</author>
<author>
<name sortKey="Taniguchi, K" uniqKey="Taniguchi K">K Taniguchi</name>
</author>
<author>
<name sortKey="Okabe, N" uniqKey="Okabe N">N Okabe</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Ncbi/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001736 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd -nk 001736 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    Ncbi
   |étape=   Curation
   |type=    RBID
   |clé=     PMC:3776821
   |texte=   Enhancement of Collective Immunity in Tokyo Metropolitan Area by Selective Vaccination against an Emerging Influenza Pandemic
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/RBID.i   -Sk "pubmed:24058445" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1 

Wicri

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