[Application of EARS in early-warning of influenza pandemic in Beijing].
Identifieur interne : 000C79 ( PubMed/Curation ); précédent : 000C78; suivant : 000C80[Application of EARS in early-warning of influenza pandemic in Beijing].
Auteurs : Dai-Tao Zhang [République populaire de Chine] ; Peng Yang ; Yi Zhang ; Li Zhang ; Xiao-Min Peng ; Wei-Xian Shi ; Gui-Lan Lu ; Hui-Jie Liang ; Yi-Meng Liu ; Min Liu ; Quan-Yi WangSource :
- Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences [ 1671-167X ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
- épidémiologie : Chine, Grippe humaine.
- Algorithmes, Biosurveillance, Flambées de maladies, Humains, Interprétation statistique de données.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : China.
- epidemiology : Influenza, Human.
- methods : Biosurveillance.
- statistics & numerical data : Disease Outbreaks.
- Algorithms, Data Interpretation, Statistical, Humans.
Abstract
To illustrate the efficiency of cumulative sum (CUSUM) in pre-warning of the influenza peak in Beijing.
PubMed: 22692313
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pubmed:22692313Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Application of EARS in early-warning of influenza pandemic in Beijing].</title><author><name sortKey="Zhang, Dai Tao" sort="Zhang, Dai Tao" uniqKey="Zhang D" first="Dai-Tao" last="Zhang">Dai-Tao Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing</wicri:regionArea></affiliation></author><author><name sortKey="Yang, Peng" sort="Yang, Peng" uniqKey="Yang P" first="Peng" last="Yang">Peng Yang</name></author><author><name sortKey="Zhang, Yi" sort="Zhang, Yi" uniqKey="Zhang Y" first="Yi" last="Zhang">Yi Zhang</name></author><author><name sortKey="Zhang, Li" sort="Zhang, Li" uniqKey="Zhang L" first="Li" last="Zhang">Li Zhang</name></author><author><name sortKey="Peng, Xiao Min" sort="Peng, Xiao Min" uniqKey="Peng X" first="Xiao-Min" last="Peng">Xiao-Min Peng</name></author><author><name sortKey="Shi, Wei Xian" sort="Shi, Wei Xian" uniqKey="Shi W" first="Wei-Xian" last="Shi">Wei-Xian Shi</name></author><author><name sortKey="Lu, Gui Lan" sort="Lu, Gui Lan" uniqKey="Lu G" first="Gui-Lan" last="Lu">Gui-Lan Lu</name></author><author><name sortKey="Liang, Hui Jie" sort="Liang, Hui Jie" uniqKey="Liang H" first="Hui-Jie" last="Liang">Hui-Jie Liang</name></author><author><name sortKey="Liu, Yi Meng" sort="Liu, Yi Meng" uniqKey="Liu Y" first="Yi-Meng" last="Liu">Yi-Meng Liu</name></author><author><name sortKey="Liu, Min" sort="Liu, Min" uniqKey="Liu M" first="Min" last="Liu">Min Liu</name></author><author><name sortKey="Wang, Quan Yi" sort="Wang, Quan Yi" uniqKey="Wang Q" first="Quan-Yi" last="Wang">Quan-Yi Wang</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22692313</idno><idno type="pmid">22692313</idno><idno type="wicri:Area/PubMed/Corpus">000C79</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000C79</idno><idno type="wicri:Area/PubMed/Curation">000C79</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000C79</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Application of EARS in early-warning of influenza pandemic in Beijing].</title><author><name sortKey="Zhang, Dai Tao" sort="Zhang, Dai Tao" uniqKey="Zhang D" first="Dai-Tao" last="Zhang">Dai-Tao Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing</wicri:regionArea></affiliation></author><author><name sortKey="Yang, Peng" sort="Yang, Peng" uniqKey="Yang P" first="Peng" last="Yang">Peng Yang</name></author><author><name sortKey="Zhang, Yi" sort="Zhang, Yi" uniqKey="Zhang Y" first="Yi" last="Zhang">Yi Zhang</name></author><author><name sortKey="Zhang, Li" sort="Zhang, Li" uniqKey="Zhang L" first="Li" last="Zhang">Li Zhang</name></author><author><name sortKey="Peng, Xiao Min" sort="Peng, Xiao Min" uniqKey="Peng X" first="Xiao-Min" last="Peng">Xiao-Min Peng</name></author><author><name sortKey="Shi, Wei Xian" sort="Shi, Wei Xian" uniqKey="Shi W" first="Wei-Xian" last="Shi">Wei-Xian Shi</name></author><author><name sortKey="Lu, Gui Lan" sort="Lu, Gui Lan" uniqKey="Lu G" first="Gui-Lan" last="Lu">Gui-Lan Lu</name></author><author><name sortKey="Liang, Hui Jie" sort="Liang, Hui Jie" uniqKey="Liang H" first="Hui-Jie" last="Liang">Hui-Jie Liang</name></author><author><name sortKey="Liu, Yi Meng" sort="Liu, Yi Meng" uniqKey="Liu Y" first="Yi-Meng" last="Liu">Yi-Meng Liu</name></author><author><name sortKey="Liu, Min" sort="Liu, Min" uniqKey="Liu M" first="Min" last="Liu">Min Liu</name></author><author><name sortKey="Wang, Quan Yi" sort="Wang, Quan Yi" uniqKey="Wang Q" first="Quan-Yi" last="Wang">Quan-Yi Wang</name></author></analytic><series><title level="j">Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences</title><idno type="ISSN">1671-167X</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Biosurveillance (methods)</term><term>China (epidemiology)</term><term>Data Interpretation, Statistical</term><term>Disease Outbreaks (statistics & numerical data)</term><term>Humans</term><term>Influenza, Human (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes</term><term>Biosurveillance ()</term><term>Chine (épidémiologie)</term><term>Flambées de maladies ()</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Interprétation statistique de données</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Biosurveillance</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Disease Outbreaks</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Data Interpretation, Statistical</term><term>Humans</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Biosurveillance</term><term>Flambées de maladies</term><term>Humains</term><term>Interprétation statistique de données</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To illustrate the efficiency of cumulative sum (CUSUM) in pre-warning of the influenza peak in Beijing.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22692313</PMID><DateCompleted><Year>2013</Year><Month>09</Month><Day>26</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1671-167X</ISSN><JournalIssue CitedMedium="Print"><Volume>44</Volume><Issue>3</Issue><PubDate><Year>2012</Year><Month>Jun</Month><Day>18</Day></PubDate></JournalIssue><Title>Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences</Title><ISOAbbreviation>Beijing Da Xue Xue Bao</ISOAbbreviation></Journal><ArticleTitle>[Application of EARS in early-warning of influenza pandemic in Beijing].</ArticleTitle><Pagination><MedlinePgn>412-5</MedlinePgn></Pagination><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To illustrate the efficiency of cumulative sum (CUSUM) in pre-warning of the influenza peak in Beijing.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">CUSUM was used to analyze the data of influenza like illness (ILI), and the results of the influenza laboratory surveillance was regarded as the gold standard to judge the approaching of the influenza peak.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The surveillance was launched in 421 hospitals in Beijing during the 2009 to 2010 influenza season, while the influenza laboratory surveillance was launched by 7 collaborative laboratories. From Jun. 2009 to Apr. 2010, the average ILI percentage in the 421 hospitals was 2.56%. In the study, 19 262 pharyngeal swab samples were collected from the ILI cases in 11 hospitals and 5 045 of them were tested positive for the influenza virus, with the novel swine-origin influenza A H1N1 virus dominating. After analyzing of the ILI surveillance data with CUSUM, it was found that the ILI surveillance in Beijing could make a satisfactory early warning for the approaching of the influenza peak referring to the gold standard based on the influenza laboratory results.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">It could give the prediction and early warning for the influenza peak efficiently and precisely, by using CUSUM to analyze the influenza surveillance data of Beijing.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Dai-tao</ForeName><Initials>DT</Initials><AffiliationInfo><Affiliation>Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Peng</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Yi</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Li</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Peng</LastName><ForeName>Xiao-min</ForeName><Initials>XM</Initials></Author><Author ValidYN="Y"><LastName>Shi</LastName><ForeName>Wei-xian</ForeName><Initials>WX</Initials></Author><Author ValidYN="Y"><LastName>Lu</LastName><ForeName>Gui-lan</ForeName><Initials>GL</Initials></Author><Author ValidYN="Y"><LastName>Liang</LastName><ForeName>Hui-jie</ForeName><Initials>HJ</Initials></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Yi-meng</ForeName><Initials>YM</Initials></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Min</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Quan-yi</ForeName><Initials>QY</Initials></Author></AuthorList><Language>chi</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Beijing Da Xue Xue Bao Yi Xue Ban</MedlineTA><NlmUniqueID>101125284</NlmUniqueID><ISSNLinking>1671-167X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="Y">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055877" MajorTopicYN="N">Biosurveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003627" MajorTopicYN="N">Data Interpretation, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>6</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>6</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2013</Year><Month>9</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22692313</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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