On-line Monitoring of Public Health Surveillance Data

Peter Diggle; Leo Knorr-Held; Barry Rowlingson; Ting Li Su; Peter Hawtin; Trevor N. Bryant

doi:10.1093/acprof:oso/9780195146493.003.0009

On-line Monitoring of Public Health Surveillance Data

Peter Diggle, Leo Knorr-Held, Barry Rowlingson, Ting Li Su, Peter Hawtin, Trevor N. Bryant

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

The Ascertainment and Enhancement of Gastrointestinal Infection Surveillance and Statistics (AEGISS) 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. This chapter uses the AEGISS project to discuss the methodologic issues in developing a rapidresponse, spatial surveillance system. It considers 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.

Original language	English (US)
Title of host publication	Monitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance
Publisher	Oxford University Press
ISBN (Print)	9780199864928, 9780195146493
DOIs	https://doi.org/10.1093/acprof:oso/9780195146493.003.0009
State	Published - Sep 1 2009
Externally published	Yes

Keywords

AEGISS
Data collection
Public health monitoring
Surveillance system
United Kingdom

ASJC Scopus subject areas

Arts and Humanities(all)

Access to Document

10.1093/acprof:oso/9780195146493.003.0009

Cite this

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title = "On-line Monitoring of Public Health Surveillance Data",

abstract = "The Ascertainment and Enhancement of Gastrointestinal Infection Surveillance and Statistics (AEGISS) 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. This chapter uses the AEGISS project to discuss the methodologic issues in developing a rapidresponse, spatial surveillance system. It considers 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.",

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AU - Diggle, Peter

AU - Knorr-Held, Leo

AU - Rowlingson, Barry

AU - Su, Ting Li

AU - Hawtin, Peter

AU - Bryant, Trevor N.

PY - 2009/9/1

Y1 - 2009/9/1

N2 - The Ascertainment and Enhancement of Gastrointestinal Infection Surveillance and Statistics (AEGISS) 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. This chapter uses the AEGISS project to discuss the methodologic issues in developing a rapidresponse, spatial surveillance system. It considers 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.

AB - The Ascertainment and Enhancement of Gastrointestinal Infection Surveillance and Statistics (AEGISS) 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. This chapter uses the AEGISS project to discuss the methodologic issues in developing a rapidresponse, spatial surveillance system. It considers 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.

KW - AEGISS

KW - Data collection

KW - Public health monitoring

KW - Surveillance system

KW - United Kingdom

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M3 - Chapter

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SN - 9780195146493

BT - Monitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance

PB - Oxford University Press

ER -

On-line Monitoring of Public Health Surveillance Data

Abstract

Keywords

ASJC Scopus subject areas

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