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 - 2003/12/11
Y1 - 2003/12/11
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 rapid-response, 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 rapid-response, 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.
UR - http://dx.doi.org/10.1093/acprof:oso/9780195146493.003.0009
U2 - 10.1093/acprof:oso/9780195146493.003.0009
DO - 10.1093/acprof:oso/9780195146493.003.0009
M3 - Chapter
SN - 9780195146493
SP - 233
EP - 266
BT - Monitoring the Health of Populations
ER -