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

Front Cover
Ron Brookmeyer, Donna F. Stroup
Oxford University Press, Oct 23, 2003 - Medical - 390 pages
Public health faces critical challenges ranging from outbreaks of new and old pathogens to the threat of bioterrorism and the impact of lifestyle and environmental changes on health. Modern tools of health surveillance and sound statistical practices are essential for meeting these challenges and providing accurate warnings about real public health threats without wasting resources on false alarms. Advances in statistical techniques, computing power and the Internet have led to many new approaches to monitoring population health, analyzing the data, and rapidly sharing it. This text explores the critical issues in the statistical analysis and interpretation of public health surveillance data. It covers statistical methods for detecting disease outbreaks and clusters, the use of survey methods, interpreting time trends and geographic patterns, exploratory statistical analysis of surveillance data, and web-based health reporting systems for the rapid detection of public health problems, among other topics. The methodological approaches are illustrated in discussions of several current public health issues, including the HIV/AIDS epidemic, anthrax, health effects of particulate air pollution, and trends in prostate cancer. The methods are broadly applicable to surveillance systems and registries for numerous health conditions, e.g. infectious diseases, chronic diseases, adverse drug reactions. The book provides numerous illustrations, worked examples, and practical information for actually implementing the methods. It will serve as a reference for public health practitioners and as a textbook for courses on disease surveillance taken by students of statistics biostatistics, epidemiology or public health.
 

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Contents

A Framework
1
Monitoring HighRisk Populations
37
3 Exploring Temporal and Spatial Patterns in Public Health Surveillance Data
71
Sorting Out Age Period and Cohort Effects
99
The Role of the Incubation Period
127
Application to Prostate Cancer
147
7 Detecting Disease Clustering in Time or Space
167
Application to Infectious Disease Surveillance
203
9 Online Monitoring of Public Health Surveillance Data
233
A Case Study of Air Pollution and Mortality
267
11 Some Considerations in SpatialTemporal Analysis of Public Health Surveillance Data
289
12 Ecologic Inference Problems in the Analysis of Surveillance Data
315
CaptureRecapture Methods in Public Health Surveillance
341
Index
361
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