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: | , , , , |
| 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: | |
| ISSN: | 0964-1998, 1467-985X |
| Online-Zugang: | Volltext |
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| Abstract | 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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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] 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. Reprinted by permission of Blackwell Publishers |
| Author | Robertson, Chris Farrington, C. Paddy Andrews, Nick Unkel, Steffen Garthwaite, Paul H. |
| Author_xml | – sequence: 1 givenname: Steffen surname: Unkel fullname: Unkel, Steffen – sequence: 2 givenname: C. Paddy surname: Farrington fullname: Farrington, C. Paddy – sequence: 3 givenname: Paul H. surname: Garthwaite fullname: Garthwaite, Paul H. – sequence: 4 givenname: Chris surname: Robertson fullname: Robertson, Chris – sequence: 5 givenname: Nick surname: Andrews fullname: Andrews, Nick |
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| Keywords | Epidemic Epidemics Control chart Industry Statistical method Engineering Infectious diseases Outbreak Surveillance Clusters Biosurveillance Public health Prospective detection |
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| SubjectTerms | 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 |
| Title | Statistical methods for the prospective detection of infectious disease outbreaks: a review |
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