The Open UniversitySkip to content
 

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

Unkel, Steffen; Farrington, Paddy; Garthwaite, Paul; Robertson, Chris and Andrews, Nick (2012). Statistical methods for the prospective detection of infectious disease outbreaks: a review. Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(1) pp. 49–82.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1111/j.1467-985X.2011.00714.x
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
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
Share this page:

Altmetrics

Scopus Citations

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk