Statistical methods for the prospective detection of infectious disease outbreaks: a review

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...

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Vydané v:	Journal of the Royal Statistical Society. Series A, Statistics in society Ročník 175; číslo 1; s. 49 - 82
Hlavní autori:	Unkel, Steffen, Farrington, C. Paddy, Garthwaite, Paul H., Robertson, Chris, Andrews, Nick
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford, UK Blackwell Publishing Ltd 01.01.2012 Blackwell Publishing Blackwell Royal Statistical Society Oxford University Press
Edícia:	Journal of the Royal Statistical Society Series A
Predmet:	Applications Biosurveillance Cluster analysis Clusters Control chart Data analysis Disease Disease control Disease models Disease outbreaks Diseases Epidemics Epidemiology Exact sciences and technology General topics Health economics Health education Health surveillance Infections Infectious diseases Mathematical analysis Mathematics Methodology Operator theory Outbreak Outbreaks Probability and statistics Prospective detection Public health Reliability, life testing, quality control Sciences and techniques of general use Spacetime Statistical analysis Statistical methods Statistics Surges Surveillance Time series Epidemic Epidemics Control chart Industry Statistical method Engineering Infectious diseases Outbreak Surveillance Clusters Biosurveillance Public health Prospective detection
ISSN:	0964-1998, 1467-985X
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Popis
Shrnutí:	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.
Bibliografia:	ark:/67375/WNG-49J6P308-R istex:97E2AD2FDA5082C0212CED15631A7FAC0B43011E ArticleID:RSSA714 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	0964-1998 1467-985X
DOI:	10.1111/j.1467-985X.2011.00714.x