Effects of reactive social distancing on the 1918 influenza pandemic.
Identifieur interne : 000396 ( PubMed/Curation ); précédent : 000395; suivant : 000397Effects of reactive social distancing on the 1918 influenza pandemic.
Auteurs : Duo Yu [République populaire de Chine] ; Qianying Lin [République populaire de Chine] ; Alice Py Chiu [République populaire de Chine] ; Daihai He [République populaire de Chine]Source :
- PloS one [ 1932-6203 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- psychologie : Grippe humaine.
- épidémiologie : Grippe humaine.
- Distance sociale, Grippe humaine, Humains, Modèles statistiques, Pandémie de grippe de 1918-1919, Royaume-Uni.
English descriptors
- KwdEn :
- MESH :
- epidemiology : Influenza, Human.
- prevention & control : Influenza Pandemic, 1918-1919, Influenza, Human.
- psychology : Influenza, Human.
- statistics & numerical data : Influenza Pandemic, 1918-1919.
- Humans, Models, Statistical, Social Distance, United Kingdom.
Abstract
The 1918 influenza pandemic was characterized by multiple epidemic waves. We investigated reactive social distancing, a form of behavioral response where individuals avoid potentially infectious contacts in response to available information on an ongoing epidemic or pandemic. We modelled its effects on the three influenza waves in the United Kingdom. In previous studies, human behavioral response was modelled by a Power function of the proportion of recent influenza mortality in a population, and by a Hill function, which is a function of the number of recent influenza mortality. Using a simple epidemic model with a Power function and one common set of parameters, we provided a good model fit for the observed multiple epidemic waves in London boroughs, Birmingham and Liverpool. We further applied the model parameters from these three cities to all 334 administrative units in England and Wales and including the population sizes of individual administrative units. We computed the Pearson's correlation between the observed and simulated for each administrative unit. We found a median correlation of 0.636, indicating that our model predictions are performing reasonably well. Our modelling approach is an improvement from previous studies where separate models are fitted to each city. With the reduced number of model parameters used, we achieved computational efficiency gain without over-fitting the model. We also showed the importance of reactive behavioral distancing as a potential non-pharmaceutical intervention during an influenza pandemic. Our work has both scientific and public health significance.
DOI: 10.1371/journal.pone.0180545
PubMed: 28704460
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000396
Links to Exploration step
pubmed:28704460Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Effects of reactive social distancing on the 1918 influenza pandemic.</title><author><name sortKey="Yu, Duo" sort="Yu, Duo" uniqKey="Yu D" first="Duo" last="Yu">Duo Yu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="Lin, Qianying" sort="Lin, Qianying" uniqKey="Lin Q" first="Qianying" last="Lin">Qianying Lin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="Chiu, Alice Py" sort="Chiu, Alice Py" uniqKey="Chiu A" first="Alice Py" last="Chiu">Alice Py Chiu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28704460</idno><idno type="pmid">28704460</idno><idno type="doi">10.1371/journal.pone.0180545</idno><idno type="wicri:Area/PubMed/Corpus">000396</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000396</idno><idno type="wicri:Area/PubMed/Curation">000396</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000396</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Effects of reactive social distancing on the 1918 influenza pandemic.</title><author><name sortKey="Yu, Duo" sort="Yu, Duo" uniqKey="Yu D" first="Duo" last="Yu">Duo Yu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="Lin, Qianying" sort="Lin, Qianying" uniqKey="Lin Q" first="Qianying" last="Lin">Qianying Lin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="Chiu, Alice Py" sort="Chiu, Alice Py" uniqKey="Chiu A" first="Alice Py" last="Chiu">Alice Py Chiu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author><author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR)</wicri:regionArea></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Humans</term><term>Influenza Pandemic, 1918-1919 (prevention & control)</term><term>Influenza Pandemic, 1918-1919 (statistics & numerical data)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (prevention & control)</term><term>Influenza, Human (psychology)</term><term>Models, Statistical</term><term>Social Distance</term><term>United Kingdom</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Distance sociale</term><term>Grippe humaine ()</term><term>Grippe humaine (psychologie)</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Modèles statistiques</term><term>Pandémie de grippe de 1918-1919 ()</term><term>Royaume-Uni</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Models, Statistical</term><term>Social Distance</term><term>United Kingdom</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Distance sociale</term><term>Grippe humaine</term><term>Humains</term><term>Modèles statistiques</term><term>Pandémie de grippe de 1918-1919</term><term>Royaume-Uni</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The 1918 influenza pandemic was characterized by multiple epidemic waves. We investigated reactive social distancing, a form of behavioral response where individuals avoid potentially infectious contacts in response to available information on an ongoing epidemic or pandemic. We modelled its effects on the three influenza waves in the United Kingdom. In previous studies, human behavioral response was modelled by a Power function of the proportion of recent influenza mortality in a population, and by a Hill function, which is a function of the number of recent influenza mortality. Using a simple epidemic model with a Power function and one common set of parameters, we provided a good model fit for the observed multiple epidemic waves in London boroughs, Birmingham and Liverpool. We further applied the model parameters from these three cities to all 334 administrative units in England and Wales and including the population sizes of individual administrative units. We computed the Pearson's correlation between the observed and simulated for each administrative unit. We found a median correlation of 0.636, indicating that our model predictions are performing reasonably well. Our modelling approach is an improvement from previous studies where separate models are fitted to each city. With the reduced number of model parameters used, we achieved computational efficiency gain without over-fitting the model. We also showed the importance of reactive behavioral distancing as a potential non-pharmaceutical intervention during an influenza pandemic. Our work has both scientific and public health significance.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28704460</PMID><DateCompleted><Year>2017</Year><Month>10</Month><Day>03</Day></DateCompleted><DateRevised><Year>2019</Year><Month>02</Month><Day>08</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>7</Issue><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Effects of reactive social distancing on the 1918 influenza pandemic.</ArticleTitle><Pagination><MedlinePgn>e0180545</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0180545</ELocationID><Abstract><AbstractText>The 1918 influenza pandemic was characterized by multiple epidemic waves. We investigated reactive social distancing, a form of behavioral response where individuals avoid potentially infectious contacts in response to available information on an ongoing epidemic or pandemic. We modelled its effects on the three influenza waves in the United Kingdom. In previous studies, human behavioral response was modelled by a Power function of the proportion of recent influenza mortality in a population, and by a Hill function, which is a function of the number of recent influenza mortality. Using a simple epidemic model with a Power function and one common set of parameters, we provided a good model fit for the observed multiple epidemic waves in London boroughs, Birmingham and Liverpool. We further applied the model parameters from these three cities to all 334 administrative units in England and Wales and including the population sizes of individual administrative units. We computed the Pearson's correlation between the observed and simulated for each administrative unit. We found a median correlation of 0.636, indicating that our model predictions are performing reasonably well. Our modelling approach is an improvement from previous studies where separate models are fitted to each city. With the reduced number of model parameters used, we achieved computational efficiency gain without over-fitting the model. We also showed the importance of reactive behavioral distancing as a potential non-pharmaceutical intervention during an influenza pandemic. Our work has both scientific and public health significance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yu</LastName><ForeName>Duo</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Biostatistics, School of Public Health, University of Texas, Health Science Center at Houston, Houston, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Qianying</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chiu</LastName><ForeName>Alice Py</ForeName><Initials>AP</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>He</LastName><ForeName>Daihai</ForeName><Initials>D</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-3253-654X</Identifier><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (SAR), China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>07</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064149" MajorTopicYN="N">Influenza Pandemic, 1918-1919</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012929" MajorTopicYN="Y">Social Distance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006113" MajorTopicYN="N">United Kingdom</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>02</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>06</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>7</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>7</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>10</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28704460</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0180545</ArticleId><ArticleId IdType="pii">PONE-D-17-05284</ArticleId><ArticleId IdType="pmc">PMC5507503</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Proc Natl Acad Sci U S A. 2013 Dec 17;110(51):20837-42</Citation><ArticleIdList><ArticleId IdType="pubmed">24297874</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Biol Sci. 2013 Sep 07;280(1766):20131345</Citation><ArticleIdList><ArticleId IdType="pubmed">23843396</ArticleId></ArticleIdList></Reference><Reference><Citation>Bull Hist Med. 2002 Spring;76(1):105-15</Citation><ArticleIdList><ArticleId IdType="pubmed">11875246</ArticleId></ArticleIdList></Reference><Reference><Citation>Math Biosci. 2002 Nov-Dec;180:29-48</Citation><ArticleIdList><ArticleId IdType="pubmed">12387915</ArticleId></ArticleIdList></Reference><Reference><Citation>Emerg Infect Dis. 2005 Sep;11(9):1355-62</Citation><ArticleIdList><ArticleId IdType="pubmed">16229762</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Biol Sci. 2008 Mar 7;275(1634):501-9</Citation><ArticleIdList><ArticleId IdType="pubmed">18156123</ArticleId></ArticleIdList></Reference><Reference><Citation>J Transl Med. 2004 Jan 20;2(1):3</Citation><ArticleIdList><ArticleId IdType="pubmed">14733617</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2006 Dec 5;103(49):18438-43</Citation><ArticleIdList><ArticleId IdType="pubmed">17121996</ArticleId></ArticleIdList></Reference><Reference><Citation>J Theor Biol. 2008 Sep 21;254(2):499-507</Citation><ArticleIdList><ArticleId IdType="pubmed">18606170</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2004 Dec 16;432(7019):904-6</Citation><ArticleIdList><ArticleId IdType="pubmed">15602562</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2008 Aug 14;454(7206):877-80</Citation><ArticleIdList><ArticleId IdType="pubmed">18704085</ArticleId></ArticleIdList></Reference><Reference><Citation>Epidemics. 2014 Sep;8:18-27</Citation><ArticleIdList><ArticleId IdType="pubmed">25240900</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2007 Nov 28;2(11):e1220</Citation><ArticleIdList><ArticleId IdType="pubmed">18043733</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2014 Sep 11;19(36):null</Citation><ArticleIdList><ArticleId IdType="pubmed">25232919</ArticleId></ArticleIdList></Reference><Reference><Citation>Bull Math Biol. 2006 Apr;68(3):679-702</Citation><ArticleIdList><ArticleId IdType="pubmed">16794950</ArticleId></ArticleIdList></Reference><Reference><Citation>Expert Rev Vaccines. 2012 Nov;11(11):1319-29</Citation><ArticleIdList><ArticleId IdType="pubmed">23249232</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2007 May 1;104(18):7588-93</Citation><ArticleIdList><ArticleId IdType="pubmed">17416677</ArticleId></ArticleIdList></Reference><Reference><Citation>Ann Intern Med. 2012 Feb 7;156(3):173-81</Citation><ArticleIdList><ArticleId IdType="pubmed">22312137</ArticleId></ArticleIdList></Reference><Reference><Citation>Sci Transl Med. 2013 Jun 26;5(191):191ra84</Citation><ArticleIdList><ArticleId IdType="pubmed">23803706</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2013 Jun 4;110(23):9595-600</Citation><ArticleIdList><ArticleId IdType="pubmed">23690587</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Negl Trop Dis. 2013;7(1):e1979</Citation><ArticleIdList><ArticleId IdType="pubmed">23326611</ArticleId></ArticleIdList></Reference><Reference><Citation>Theor Popul Biol. 2007 May;71(3):301-17</Citation><ArticleIdList><ArticleId IdType="pubmed">17335862</ArticleId></ArticleIdList></Reference><Reference><Citation>J R Soc Interface. 2008 Jun 6;5(23):631-9</Citation><ArticleIdList><ArticleId IdType="pubmed">17916550</ArticleId></ArticleIdList></Reference><Reference><Citation>J R Soc Interface. 2010 Feb 6;7(43):271-83</Citation><ArticleIdList><ArticleId IdType="pubmed">19535416</ArticleId></ArticleIdList></Reference><Reference><Citation>J R Soc Interface. 2011 Feb 6;8(55):233-43</Citation><ArticleIdList><ArticleId IdType="pubmed">20573630</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Comput Biol. 2010 Sep 02;6(9):e1000898</Citation><ArticleIdList><ArticleId IdType="pubmed">20824122</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Biol Sci. 2015 May 7;282(1806):20150347</Citation><ArticleIdList><ArticleId IdType="pubmed">25833863</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Biol Sci. 2011 Dec 22;278(1725):3635-43</Citation><ArticleIdList><ArticleId IdType="pubmed">21525058</ArticleId></ArticleIdList></Reference><Reference><Citation>J Theor Biol. 2009 Sep 7;260(1):31-40</Citation><ArticleIdList><ArticleId IdType="pubmed">19446570</ArticleId></ArticleIdList></Reference><Reference><Citation>J Theor Biol. 2004 Jul 7;229(1):119-26</Citation><ArticleIdList><ArticleId IdType="pubmed">15178190</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2014 Jul 22;111(29):10604-9</Citation><ArticleIdList><ArticleId IdType="pubmed">25002465</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000396 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000396 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:28704460
|texte= Effects of reactive social distancing on the 1918 influenza pandemic.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:28704460" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a PandemieGrippaleV1
| This area was generated with Dilib version V0.6.34. |  |