Estimated County-Level Prevalence of Diabetes and Obesity - United States, 2007

Comprehensive disease surveillance systems are important for developing preventive health policies and tracking their impact in populations at high risk. Although existing chronic disease surveillance systems function well at the national or state level, few provide data at the local level, where ma...

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Bibliographic Details
Published in:MMWR. Morbidity and Mortality Weekly Report 2009, Vol.58 (45), p.1259
Main Authors: Gregg, E W, Kirtland, K A, Cadwell, B L, Burrows, N Rios, Barker, L E, Thompson, T J, Geiss, L, Pan, L
Format: Report
Language:English
Subjects:
Bayesian analysis
Counties
Diabetes
Disease control
Obesity
Public health
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Summary:Comprehensive disease surveillance systems are important for developing preventive health policies and tracking their impact in populations at high risk. Although existing chronic disease surveillance systems function well at the national or state level, few provide data at the local level, where many policies and interventions ultimately are implemented. To overcome this limitation, Bayesian multilevel models have been applied to reliably estimate disease prevalence at the local level. The Centers for Disease Control and Prevention adapted this methodology to estimate diabetes and obesity prevalence in all 3,141 US counties in 2007. Here, Gregg et al demonstrate how model-based estimates can identify areas with populations at high risk, providing local public health officials with important data to assist them in developing targeted programs to reduce diabetes and obesity.
ISSN:0149-2195
1545-861X