Handbook of Infectious Disease Data Analysis
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Handbook of Infectious Disease Data AnalysisAuthor(s): Leonhard Held, Niel Hens, Philip O'Neill, Jacco Wallinga\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781138626713, 978-1138626713\nSynopsis\nRecent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated ability to address key scientific and epidemiological questions. A unique feature of the Handbook is the wide range of topics covered. \n\nKey features\n\nContributors include many leading researchers in the field\n\nDivided into four main sections: Basic concepts, Analysis of Outbreak Data, Analysis of Seroprevalenl
Handbook of Infectious Disease Data Analysis
Handbook of Infectious Disease Data AnalysisAuthor(s): Leonhard Held, Niel Hens, Philip O'Neill, Jacco Wallinga\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781138626713, 978-1138626713\nSynopsis\nRecent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated ability to address key scientific and epidemiological questions. A unique feature of the Handbook is the wide range of topics covered. \n\nKey features\n\nContributors include many leading researchers in the field\n\nDivided into four main sections: Basic concepts, Analysis of Outbreak Data, Analysis of Seroprevalenl
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