{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361699995460292736.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1073/pnas.1415012112"}},{"identifier":{"@type":"URI","@value":"http://www.pnas.org/syndication/doi/10.1073/pnas.1415012112"}},{"identifier":{"@type":"URI","@value":"https://pnas.org/doi/pdf/10.1073/pnas.1415012112"}}],"dc:title":[{"@value":"Inference of seasonal and pandemic influenza transmission dynamics"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Significance</jats:title>\n          <jats:p>Infectious disease surveillance systems are powerful tools for monitoring and understanding infectious disease dynamics; however, underreporting (due to both unreported and asymptomatic infections) and observation errors in these systems create challenges for delineating a complete picture of infectious disease epidemiology. This issue is true for influenza, an infectious disease of pandemic potential. Here we develop and present influenza inference systems capable of compensating for observational biases and underreporting. Using both Google Flu Trends and Centers for Disease Control and Prevention data in conjunction with Bayesian model inference methods, we are able to infer the evolving epidemiological features of influenza and its impacts among the large population during 2003−2013, including the 2009 pandemic. In addition, differences among regions within the United States are identified.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381699995460292737","@type":"Researcher","foaf:name":[{"@value":"Wan Yang"}],"jpcoar:affiliationName":[{"@value":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032; and"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699995460292736","@type":"Researcher","foaf:name":[{"@value":"Marc Lipsitch"}],"jpcoar:affiliationName":[{"@value":"Center for Communicable Disease Dynamics, Harvard School of Public Health, Harvard University, Boston, MA 02115"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699995460292738","@type":"Researcher","foaf:name":[{"@value":"Jeffrey Shaman"}],"jpcoar:affiliationName":[{"@value":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032; and"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00278424"},{"@type":"EISSN","@value":"10916490"}],"prism:publicationName":[{"@value":"Proceedings of the National Academy of Sciences"}],"dc:publisher":[{"@value":"Proceedings of the National Academy of Sciences"}],"prism:publicationDate":"2015-02-17","prism:volume":"112","prism:number":"9","prism:startingPage":"2723","prism:endingPage":"2728"},"reviewed":"false","dc:rights":["http://www.pnas.org/site/misc/userlicense.xhtml"],"url":[{"@id":"http://www.pnas.org/syndication/doi/10.1073/pnas.1415012112"},{"@id":"https://pnas.org/doi/pdf/10.1073/pnas.1415012112"}],"createdAt":"2015-02-18","modifiedAt":"2022-04-13","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360285707175750144","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Mechanisms of replacement of circulating viruses by seasonal and pandemic influenza A viruses"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1073/pnas.1415012112"},{"@type":"CROSSREF","@value":"10.1016/j.ijid.2016.08.012_references_DOI_4UTEN1rWFQPh80ZXAY1B3ubGedT"}]}