Unkel, Steffen; Farrington, Paddy; Garthwaite, Paul; Robertson, Chris and Andrews, Nick
(2012).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1111/j.1467-985X.2011.00714.x |
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| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Journal Article |
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| Copyright Holders: | 2011 Royal Statistical Society |
| ISSN: | 0964-1998 |
| Keywords: | biosurveillance; clusters; control chart; epidemics; infectious diseases; outbreak; prospective detection; surveillance |
| Academic Unit/Department: | Mathematics, Computing and Technology Mathematics, Computing and Technology > Mathematics and Statistics |
| Item ID: | 29143 |
| Depositing User: | Steffen Unkel |
| Date Deposited: | 20 Jul 2011 10:18 |
| Last Modified: | 03 Dec 2012 12:09 |
| URI: | http://oro.open.ac.uk/id/eprint/29143 |
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