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ABSTRACT: Background
Geographic public health surveillance is concerned with describing and disseminating geographic information about disease and other measures of health to policy makers and the public. While methodological developments in the geographical analysis of disease are numerous, few have been integrated into a framework that also considers the effects of case ascertainment bias on the effectiveness of chronic disease surveillance.Results
We present a framework for the geographic surveillance of chronic disease that integrates methodological developments in the spatial statistical analysis and case ascertainment. The framework uses an hierarchical approach to organize and model health information derived from an administrative health data system, and importantly, supports
SUBMITTER: Yiannakoulias N
PROVIDER: S-EPMC2790450 | biostudies-literature | 2009 Nov
REPOSITORIES: biostudies-literature