Statistical methods for the prospective detection of infectious disease outbreaks: a review
Unkel, Steffen and Farrington, C. Paddy and Garthwaite, Paul H. and Robertson, Christopher and Andrews, Nick (2012) Statistical methods for the prospective detection of infectious disease outbreaks: a review. Journal of the Royal Statistical Society: Series A, 175 (1). pp. 49-82. ISSN 0964-1998 (http://stats-www.open.ac.uk/TechnicalReports/Outbr...)
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Unusual clusters of disease must be detected rapidly for effective public health interventions to be introduced. Over the past decade there has been a surge in interest in statistical methods for the early detection of infectious disease outbreaks.This growth in interest has given rise to much new methodological work, ranging across the spectrum of statistical methods.The paper presents a comprehensive review of the statistical approaches that have been proposed. Applications to both laboratory and syndromic surveillance data are provided to illustrate the various methods
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Item type: Article ID code: 36653 Dates: DateEvent2012PublishedKeywords: biosurveillance, clusters, surveillance, control chart; , prospective detection , epidemics, infectious diseases, Probabilities. Mathematical statistics, Public health. Hygiene. Preventive Medicine, Economics and Econometrics, Social Sciences (miscellaneous), Statistics and Probability, Statistics, Probability and Uncertainty, SDG 3 - Good Health and Well-being Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Public aspects of medicine > Public health. Hygiene. Preventive MedicineDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 12 Jan 2012 09:55 Last modified: 21 May 2023 03:16 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/36653