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On-line monitoring of public health surveillance data.

Diggle, Peter J. and Knorr-Held, Leo and Rowlingson, Barry and Su, Ting-li and Hawtin, Peter and Bryant, Trevor N. (2004) On-line monitoring of public health surveillance data. In: Monitoring the health of populations : statistical principles and methods for public health surveillance. Oxford University Press, Oxford, pp. 233-266. ISBN 0195146492

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Abstract

The Ascertainment and Enhancement of Gastrointestinal Infection Surveillance and Statistics (AGEISS) project aims to use spatial statistical methods to identify anomalies in the space-time distribution of nonspecific, gastrointestinal infections in the United Kingdom, using the Southampton area in southern England as a test case. Health-care providers are asked to report incident cases daily. Regionwide incident data are then sent electronically to Lancaster, where a statistical analysis of the space-time distribution of incident cases is updated. The results are then posted to a Web site with tabular, graphical and map-based summaries of the analysis. Here we use the AEGISS project to discuss the methodological issues in developing a rapid-response, spatial surveillance system. We consider simple, exploratory statistical methods together with more sophisticated methods, based on hierarchical space-time stochastic process models defined either at individual or small-area levels. The chapter is a report of work in progress. Currently, the Web-based AEGISS reporting system uses only simple summaries of the incident data, but its ultimate aim is to display the results of formal predictive inference in a hierarchical model of space-time variation in disease risk.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: Public health surveillance. Public health surveillance - statistical methods
Subjects: R Medicine > R Medicine (General)
Departments: Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 9686
Deposited By: Mrs Yaling Zhang
Deposited On: 19 Jun 2008 12:33
Refereed?: No
Published?: Published
Last Modified: 09 Oct 2013 14:51
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/9686

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