Infant mortality and social environment in Georgia: an application of hotspot detection and prioritization |
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Authors: | Tse-Chuan Yang Brian McManus |
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Institution: | (1) Department of Health Promotion and Education, Center for Health Research, School of Public Health, Loma Linda University, Loma Linda, CA, USA |
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Abstract: | Recent years have witnessed the growth of new information technologies and their applications to various disciplines. The
goal of this paper is to demonstrate how the two innovative methods, upper level set scan (ULS) hotspot detection and the
multicriteria prioritization scheme, facilitate population health and break new ground in public health surveillance. It is
believed that the social environment (i.e. social conditions and social capital) is one of the determinants of human health.
Using infant health data and 10 additional indicators of social environment in the 159 counties of Georgia, ULS identified
52 counties that are in double jeopardy (high infant mortality and a high rate of low infant birth weight). The multicriteria
ranking scheme suggested that there was no conspicuous spatial cluster of ranking orders, which improved the traditional decision
making by visual geographic cluster. Both hotspot detection and ranking methods provided an empirical basis for re-allocating
limited resources and several policy implications could be drawn from these analytic results. |
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