Precision Approaches Improve Community Health

Vollständiger Abstract

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Recent advances in data science provide Extension practitioners with access to data sorted by zip code, census tract, or neighborhood. Such hyper-local data now allows Extension personnel to assess community needs and assets at a more granular level and focus their work on the people and communities of greatest need. In this article, we introduce an approach we refer to as precision public health. Using such a precision approach to community assessment and, ultimately, programming can save money, increase the likelihood of producing measurable results, and create more manageable workloads for county-based Extension personnel.