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 proceedingChapter

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 languageEnglish (US)
Title of host publicationMonitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance
PublisherOxford University Press
ISBN (Print)9780199864928, 9780195146493
DOIs
StatePublished - Sep 1 2009
Externally publishedYes

Fingerprint

Public Health
Infection
Monitoring
Surveillance
Statistics
Statistical Methods
Enhancement
Space-time
Southampton
Stochastic Processes
Anomaly
Process Model
England

Keywords

  • AEGISS
  • Data collection
  • Public health monitoring
  • Surveillance system
  • United Kingdom

ASJC Scopus subject areas

  • Arts and Humanities(all)

Cite this

Diggle, P., Knorr-Held, L., Rowlingson, B., Su, T. L., Hawtin, P., & Bryant, T. N. (2009). 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. https://doi.org/10.1093/acprof:oso/9780195146493.003.0009

On-line Monitoring of Public Health Surveillance Data. / Diggle, Peter; Knorr-Held, Leo; Rowlingson, Barry; Su, Ting Li; Hawtin, Peter; Bryant, Trevor N.

Monitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance. Oxford University Press, 2009.

Research output: Chapter in Book/Report/Conference proceedingChapter

Diggle, P, Knorr-Held, L, Rowlingson, B, Su, TL, Hawtin, P & Bryant, TN 2009, 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. https://doi.org/10.1093/acprof:oso/9780195146493.003.0009
Diggle P, Knorr-Held L, Rowlingson B, Su TL, Hawtin P, Bryant TN. 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. 2009 https://doi.org/10.1093/acprof:oso/9780195146493.003.0009
Diggle, Peter ; Knorr-Held, Leo ; Rowlingson, Barry ; Su, Ting Li ; Hawtin, Peter ; Bryant, Trevor N. / On-line Monitoring of Public Health Surveillance Data. Monitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance. Oxford University Press, 2009.
@inbook{7e311b1b0e5f43c8b2f6b7b77724bcc5,
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.",
keywords = "AEGISS, Data collection, Public health monitoring, Surveillance system, United Kingdom",
author = "Peter Diggle and Leo Knorr-Held and Barry Rowlingson and Su, {Ting Li} and Peter Hawtin and Bryant, {Trevor N.}",
year = "2009",
month = "9",
day = "1",
doi = "10.1093/acprof:oso/9780195146493.003.0009",
language = "English (US)",
isbn = "9780199864928",
booktitle = "Monitoring the Health of Populations : Statistical Principles and Methods for Public Health Surveillance",
publisher = "Oxford University Press",

}

TY - CHAP

T1 - On-line Monitoring of Public Health Surveillance Data

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

UR - http://www.scopus.com/inward/record.url?scp=84920019743&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920019743&partnerID=8YFLogxK

U2 - 10.1093/acprof:oso/9780195146493.003.0009

DO - 10.1093/acprof:oso/9780195146493.003.0009

M3 - Chapter

SN - 9780199864928

SN - 9780195146493

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

PB - Oxford University Press

ER -