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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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.

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19 Jun 2008 11:33
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21 Nov 2022 13:53