Public Health Surveillance in Action: A Framework

Donna F. Stroup, Ron Brookmeyer and William D. Kalsbeek

in Monitoring the Health of Populations

Published in print December 2003 | ISBN: 9780195146493
Published online September 2009 | e-ISBN: 9780199864928 | DOI:
Public Health Surveillance in Action: A Framework

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This chapter gives some examples of the importance of statistical and quantitative reasoning in public health surveillance, provides a framework for understanding the sort of data that can be compiled from an effective public health surveillance system, and identifies some useful sources of worldwide public health surveillance data. The framework portrays the relationships between the population and types of data collection in terms of opportunities for prevention, levels of intervention, and important health outcomes. Types of data are organized by time from earliest prevention opportunity: hazard surveillance, surveillance of health care interventions and public health activities, and surveillance of health outcomes. The category of hazard surveillance includes surveillance of both risk factors and preventive behaviors. Surveillance of health-care interventions and public-health activities consists of obtaining data on interventions directed to populations or individuals. Finally, surveillance of health outcomes includes collecting morbidity and mortality data.

Keywords: public health monitoring; surveillance system; public health practice; statistical reasoning; quantitative reasoning; hazard surveillance

Chapter.  9420 words.  Illustrated.

Subjects: Public Health and Epidemiology

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