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.

A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic

Identifieur interne : 001C40 ( Ncbi/Curation ); précédent : 001C39; suivant : 001C41

A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic

Auteurs : Ka Chun Chong [République populaire de Chine] ; Benny Chung Ying Zee [République populaire de Chine] ; Maggie Haitian Wang [République populaire de Chine]

Source :

RBID : PMC:5320693

Descripteurs français

English descriptors

Abstract

Background

In a new influenza pandemic, travel data such as arrival times of cases seeded by the originating country can be regarded as a combination of the epidemic size and the mobility networks of infections connecting the originating country with other regions. It can be a complete and timely source for estimating the basic reproduction number (R0), a key indicator of disease transmissibility.

Method

In this study, we developed a likelihood-based method using arrival times of infected cases in different countries to estimate R0 for influenza pandemics. A simulation was conducted to assess the performance of the proposed method. We further applied the method to the outbreak of the influenza pandemic A/H1N1 in Mexico.

Results

In the numerical application, the estimated R0 was equal to 1.69 with a 95% confidence interval (1.65, 1.73). For the simulation results, the estimations were robust to the decline of travel rate and other parameter assumptions. Nevertheless, the estimates were moderately sensitive to the assumption of infectious duration. Generally, the findings were in line with other relevant studies.

Conclusions

Our approach as well as the estimate is potential to assist officials in planning control and prevention measures. Improved coordination to streamline or even centralize surveillance of imported cases among countries will thus be beneficial to public health.


Url:
DOI: 10.1186/s12874-017-0300-1
PubMed: 28222682
PubMed Central: 5320693

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


Links to Exploration step

PMC:5320693

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic</title>
<author>
<name sortKey="Chong, Ka Chun" sort="Chong, Ka Chun" uniqKey="Chong K" first="Ka Chun" last="Chong">Ka Chun Chong</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Zee, Benny Chung Ying" sort="Zee, Benny Chung Ying" uniqKey="Zee B" first="Benny Chung Ying" last="Zee">Benny Chung Ying Zee</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Wang, Maggie Haitian" sort="Wang, Maggie Haitian" uniqKey="Wang M" first="Maggie Haitian" last="Wang">Maggie Haitian Wang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">28222682</idno>
<idno type="pmc">5320693</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320693</idno>
<idno type="RBID">PMC:5320693</idno>
<idno type="doi">10.1186/s12874-017-0300-1</idno>
<date when="2017">2017</date>
<idno type="wicri:Area/Pmc/Corpus">000197</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000197</idno>
<idno type="wicri:Area/Pmc/Curation">000197</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000197</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000267</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000267</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:28222682</idno>
<idno type="wicri:Area/PubMed/Corpus">000446</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000446</idno>
<idno type="wicri:Area/PubMed/Curation">000446</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000446</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000443</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000443</idno>
<idno type="wicri:Area/Ncbi/Merge">001C40</idno>
<idno type="wicri:Area/Ncbi/Curation">001C40</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic</title>
<author>
<name sortKey="Chong, Ka Chun" sort="Chong, Ka Chun" uniqKey="Chong K" first="Ka Chun" last="Chong">Ka Chun Chong</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Zee, Benny Chung Ying" sort="Zee, Benny Chung Ying" uniqKey="Zee B" first="Benny Chung Ying" last="Zee">Benny Chung Ying Zee</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Wang, Maggie Haitian" sort="Wang, Maggie Haitian" uniqKey="Wang M" first="Maggie Haitian" last="Wang">Maggie Haitian Wang</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Division of Biostatistics, JC School of Public Health and Primary Care,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="Aff2">
<institution-wrap>
<institution-id institution-id-type="ISNI">0000 0004 1937 0482</institution-id>
<institution-id institution-id-type="GRID">grid.10784.3a</institution-id>
<institution>Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute,</institution>
<institution>The Chinese University of Hong Kong,</institution>
</institution-wrap>
Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Hong Kong</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Medical Research Methodology</title>
<idno type="eISSN">1471-2288</idno>
<imprint>
<date when="2017">2017</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Algorithms</term>
<term>Humans</term>
<term>Influenza A Virus, H1N1 Subtype (physiology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (transmission)</term>
<term>Influenza, Human (virology)</term>
<term>Likelihood Functions</term>
<term>Mexico (epidemiology)</term>
<term>Models, Statistical</term>
<term>Pandemics</term>
<term>Travel</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Algorithmes</term>
<term>Fonctions de vraisemblance</term>
<term>Grippe humaine (transmission)</term>
<term>Grippe humaine (virologie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Mexique (épidémiologie)</term>
<term>Modèles statistiques</term>
<term>Pandémies</term>
<term>Sous-type H1N1 du virus de la grippe A (physiologie)</term>
<term>Voyage</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Influenza, Human</term>
<term>Mexico</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Sous-type H1N1 du virus de la grippe A</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Influenza A Virus, H1N1 Subtype</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Grippe humaine</term>
<term>Mexique</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Algorithms</term>
<term>Humans</term>
<term>Likelihood Functions</term>
<term>Models, Statistical</term>
<term>Pandemics</term>
<term>Travel</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Algorithmes</term>
<term>Fonctions de vraisemblance</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Pandémies</term>
<term>Voyage</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>In a new influenza pandemic, travel data such as arrival times of cases seeded by the originating country can be regarded as a combination of the epidemic size and the mobility networks of infections connecting the originating country with other regions. It can be a complete and timely source for estimating the basic reproduction number (
<italic>R</italic>
<sub>
<italic>0</italic>
</sub>
), a key indicator of disease transmissibility.</p>
</sec>
<sec>
<title>Method</title>
<p>In this study, we developed a likelihood-based method using arrival times of infected cases in different countries to estimate
<italic>R</italic>
<sub>
<italic>0</italic>
</sub>
for influenza pandemics. A simulation was conducted to assess the performance of the proposed method. We further applied the method to the outbreak of the influenza pandemic A/H1N1 in Mexico.</p>
</sec>
<sec>
<title>Results</title>
<p>In the numerical application, the estimated
<italic>R</italic>
<sub>
<italic>0</italic>
</sub>
was equal to 1.69 with a 95% confidence interval (1.65, 1.73). For the simulation results, the estimations were robust to the decline of travel rate and other parameter assumptions. Nevertheless, the estimates were moderately sensitive to the assumption of infectious duration. Generally, the findings were in line with other relevant studies.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our approach as well as the estimate is potential to assist officials in planning control and prevention measures. Improved coordination to streamline or even centralize surveillance of imported cases among countries will thus be beneficial to public health.</p>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<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="Diekmann, O" uniqKey="Diekmann O">O Diekmann</name>
</author>
<author>
<name sortKey="Heesterbeek, Jap" uniqKey="Heesterbeek J">JAP Heesterbeek</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wallinga, J" uniqKey="Wallinga J">J Wallinga</name>
</author>
<author>
<name sortKey="Teunis, P" uniqKey="Teunis P">P Teunis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="White, Lf" uniqKey="White L">LF White</name>
</author>
<author>
<name sortKey="Pagano, M" uniqKey="Pagano M">M Pagano</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chowell, G" uniqKey="Chowell G">G Chowell</name>
</author>
<author>
<name sortKey="Nishiura, H" uniqKey="Nishiura H">H Nishiura</name>
</author>
<author>
<name sortKey="Bettencourt, Lm" uniqKey="Bettencourt L">LM Bettencourt</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hens, N" uniqKey="Hens N">N Hens</name>
</author>
<author>
<name sortKey="Van Ranst, M" uniqKey="Van Ranst M">M Van Ranst</name>
</author>
<author>
<name sortKey="Aerts, M" uniqKey="Aerts M">M Aerts</name>
</author>
<author>
<name sortKey="Robesyn, E" uniqKey="Robesyn E">E Robesyn</name>
</author>
<author>
<name sortKey="Van Damme, P" uniqKey="Van Damme P">P Van Damme</name>
</author>
<author>
<name sortKey="Beutels, P" uniqKey="Beutels P">P Beutels</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Glass, K" uniqKey="Glass K">K Glass</name>
</author>
<author>
<name sortKey="Kelly, H" uniqKey="Kelly H">H Kelly</name>
</author>
<author>
<name sortKey="Mercer, Gn" uniqKey="Mercer G">GN Mercer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wu, Jt" uniqKey="Wu J">JT Wu</name>
</author>
<author>
<name sortKey="Ho, A" uniqKey="Ho A">A Ho</name>
</author>
<author>
<name sortKey="Ma, Esk" uniqKey="Ma E">ESK Ma</name>
</author>
<author>
<name sortKey="Lee, Ck" uniqKey="Lee C">CK Lee</name>
</author>
<author>
<name sortKey="Chu, Dkw" uniqKey="Chu D">DKW Chu</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>
<author>
<name sortKey="Hollingsworth, Td" uniqKey="Hollingsworth T">TD Hollingsworth</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></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Balcan, D" uniqKey="Balcan D">D Balcan</name>
</author>
<author>
<name sortKey="Hu, H" uniqKey="Hu H">H Hu</name>
</author>
<author>
<name sortKey="Goncalves, B" uniqKey="Goncalves B">B Goncalves</name>
</author>
<author>
<name sortKey="Bajardi, P" uniqKey="Bajardi P">P Bajardi</name>
</author>
<author>
<name sortKey="Poletto, C" uniqKey="Poletto C">C Poletto</name>
</author>
<author>
<name sortKey="Ramasco, Jj" uniqKey="Ramasco J">JJ Ramasco</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tizzoni, M" uniqKey="Tizzoni M">M Tizzoni</name>
</author>
<author>
<name sortKey="Bajardi, P" uniqKey="Bajardi P">P Bajardi</name>
</author>
<author>
<name sortKey="Poletto, C" uniqKey="Poletto C">C Poletto</name>
</author>
<author>
<name sortKey="Ramasco, Jj" uniqKey="Ramasco J">JJ Ramasco</name>
</author>
<author>
<name sortKey="Balcan, D" uniqKey="Balcan D">D Balcan</name>
</author>
<author>
<name sortKey="Goncalves, B" uniqKey="Goncalves B">B Gonçalves</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Khan, K" uniqKey="Khan K">K Khan</name>
</author>
<author>
<name sortKey="Arino, J" uniqKey="Arino J">J Arino</name>
</author>
<author>
<name sortKey="Hu, W" uniqKey="Hu W">W Hu</name>
</author>
<author>
<name sortKey="Raposo, P" uniqKey="Raposo P">P Raposo</name>
</author>
<author>
<name sortKey="Sears, J" uniqKey="Sears J">J Sears</name>
</author>
<author>
<name sortKey="Calderon, F" uniqKey="Calderon F">F Calderon</name>
</author>
<author>
<name sortKey="Heidebrecht, C" uniqKey="Heidebrecht C">C Heidebrecht</name>
</author>
<author>
<name sortKey="Macdonald, M" uniqKey="Macdonald M">M Macdonald</name>
</author>
<author>
<name sortKey="Liauw, J" uniqKey="Liauw J">J Liauw</name>
</author>
<author>
<name sortKey="Chan, A" uniqKey="Chan A">A Chan</name>
</author>
<author>
<name sortKey="Gardam, M" uniqKey="Gardam M">M Gardam</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sakaguchi, H" uniqKey="Sakaguchi H">H Sakaguchi</name>
</author>
<author>
<name sortKey="Tsunoda, M" uniqKey="Tsunoda M">M Tsunoda</name>
</author>
<author>
<name sortKey="Wada, K" uniqKey="Wada K">K Wada</name>
</author>
<author>
<name sortKey="Ohta, H" uniqKey="Ohta H">H Ohta</name>
</author>
<author>
<name sortKey="Kawashima, M" uniqKey="Kawashima M">M Kawashima</name>
</author>
<author>
<name sortKey="Yoshino, Y" uniqKey="Yoshino Y">Y Yoshino</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Boelle, Py" uniqKey="Boelle P">PY Boëlle</name>
</author>
<author>
<name sortKey="Ansart, S" uniqKey="Ansart S">S Ansart</name>
</author>
<author>
<name sortKey="Cori, A" uniqKey="Cori A">A Cori</name>
</author>
<author>
<name sortKey="Valleron, Aj" uniqKey="Valleron A">AJ Valleron</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mills, C" uniqKey="Mills C">C Mills</name>
</author>
<author>
<name sortKey="Robins, J" uniqKey="Robins J">J Robins</name>
</author>
<author>
<name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bajardi, P" uniqKey="Bajardi P">P Bajardi</name>
</author>
<author>
<name sortKey="Poletto, C" uniqKey="Poletto C">C Poletto</name>
</author>
<author>
<name sortKey="Ramasco, Jj" uniqKey="Ramasco J">JJ Ramasco</name>
</author>
<author>
<name sortKey="Tizzoni, M" uniqKey="Tizzoni M">M Tizzoni</name>
</author>
<author>
<name sortKey="Colizza, V" uniqKey="Colizza V">V Colizza</name>
</author>
<author>
<name sortKey="Vespignani, A" uniqKey="Vespignani A">A Vespignani</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dawood, Fs" uniqKey="Dawood F">FS Dawood</name>
</author>
<author>
<name sortKey="Iuliano, Ad" uniqKey="Iuliano A">AD Iuliano</name>
</author>
<author>
<name sortKey="Reed, C" uniqKey="Reed C">C Reed</name>
</author>
<author>
<name sortKey="Meltzer, Mi" uniqKey="Meltzer M">MI Meltzer</name>
</author>
<author>
<name sortKey="Shay, Dk" uniqKey="Shay D">DK Shay</name>
</author>
<author>
<name sortKey="Cheng, Py" uniqKey="Cheng P">PY Cheng</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Castro Jimenez, Ma" uniqKey="Castro Jimenez M">MÁ Castro-Jiménez</name>
</author>
<author>
<name sortKey="Castillo Pab N, Jo" uniqKey="Castillo Pab N J">JO Castillo-Pabón</name>
</author>
<author>
<name sortKey="Rey Benito, Gj" uniqKey="Rey Benito G">GJ Rey-Benito</name>
</author>
<author>
<name sortKey="Pulido Dominguez, Pa" uniqKey="Pulido Dominguez P">PA Pulido-Domínguez</name>
</author>
<author>
<name sortKey="Barbosa Ramirez, J" uniqKey="Barbosa Ramirez J">J Barbosa-Ramírez</name>
</author>
<author>
<name sortKey="Velandia Rodriguez, Da" uniqKey="Velandia Rodriguez D">DA Velandia-Rodriguez</name>
</author>
<author>
<name sortKey="Angulo Martinez, Es" uniqKey="Angulo Martinez E">ES Angulo-Martínez</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lisena, F" uniqKey="Lisena F">F Lisena</name>
</author>
<author>
<name sortKey="Bordi, L" uniqKey="Bordi L">L Bordi</name>
</author>
<author>
<name sortKey="Carletti, F" uniqKey="Carletti F">F Carletti</name>
</author>
<author>
<name sortKey="Castilletti, C" uniqKey="Castilletti C">C Castilletti</name>
</author>
<author>
<name sortKey="Ferraro, F" uniqKey="Ferraro F">F Ferraro</name>
</author>
<author>
<name sortKey="Lalle, E" uniqKey="Lalle E">E Lalle</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bustamante, J" uniqKey="Bustamante J">J Bustamante</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chong, Kc" uniqKey="Chong K">KC Chong</name>
</author>
<author>
<name sortKey="Zee, Bcy" uniqKey="Zee B">BCY Zee</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chong, Kc" uniqKey="Chong K">KC Chong</name>
</author>
<author>
<name sortKey="Fong, Hf" uniqKey="Fong H">HF Fong</name>
</author>
<author>
<name sortKey="Zee, Cy" uniqKey="Zee C">CY Zee</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lipsitch, M" uniqKey="Lipsitch M">M Lipsitch</name>
</author>
<author>
<name sortKey="Hayden, Fg" uniqKey="Hayden F">FG Hayden</name>
</author>
<author>
<name sortKey="Cowling, Bj" uniqKey="Cowling B">BJ Cowling</name>
</author>
<author>
<name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Achonu, C" uniqKey="Achonu C">C Achonu</name>
</author>
<author>
<name sortKey="Rosella, L" uniqKey="Rosella L">L Rosella</name>
</author>
<author>
<name sortKey="Gubbay, Jb" uniqKey="Gubbay J">JB Gubbay</name>
</author>
<author>
<name sortKey="Deeks, S" uniqKey="Deeks S">S Deeks</name>
</author>
<author>
<name sortKey="Rebbapragada, A" uniqKey="Rebbapragada A">A Rebbapragada</name>
</author>
<author>
<name sortKey="Mazzulli, T" uniqKey="Mazzulli T">T Mazzulli</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Epstein, Jm" uniqKey="Epstein J">JM Epstein</name>
</author>
<author>
<name sortKey="Goedecke, Dm" uniqKey="Goedecke D">DM Goedecke</name>
</author>
<author>
<name sortKey="Yu, F" uniqKey="Yu F">F Yu</name>
</author>
<author>
<name sortKey="Morris, Rj" uniqKey="Morris R">RJ Morris</name>
</author>
<author>
<name sortKey="Wagener, Dk" uniqKey="Wagener D">DK Wagener</name>
</author>
<author>
<name sortKey="Bobashev, Gv" uniqKey="Bobashev G">GV Bobashev</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Baker, Mg" uniqKey="Baker M">MG Baker</name>
</author>
<author>
<name sortKey="Thornley, Cn" uniqKey="Thornley C">CN Thornley</name>
</author>
<author>
<name sortKey="Mills, C" uniqKey="Mills C">C Mills</name>
</author>
<author>
<name sortKey="Roberts, S" uniqKey="Roberts S">S Roberts</name>
</author>
<author>
<name sortKey="Perera, S" uniqKey="Perera S">S Perera</name>
</author>
<author>
<name sortKey="Peters, J" uniqKey="Peters J">J Peters</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 001C40 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/biblio.hfd -nk 001C40 | 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:5320693
   |texte=   A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Curation/RBID.i   -Sk "pubmed:28222682" \
       | 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