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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Veröffentlicht in:Journal of the Royal Statistical Society. Series A, Statistics in society Jg. 175; H. 1; S. 49 - 82
Hauptverfasser: Unkel, Steffen, Farrington, C. Paddy, Garthwaite, Paul H., Robertson, Chris, Andrews, Nick
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.01.2012
Blackwell Publishing
Blackwell
Royal Statistical Society
Oxford University Press
Schriftenreihe:Journal of the Royal Statistical Society Series A
Schlagworte:
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
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:ark:/67375/WNG-49J6P308-R
istex:97E2AD2FDA5082C0212CED15631A7FAC0B43011E
ArticleID:RSSA714
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0964-1998
1467-985X
DOI:10.1111/j.1467-985X.2011.00714.x