Spatial Determinants of Health present a logical evolution of SDoH, a way of removing ambiguity to better reveal certainty. The integration of spatial analytics opens the door to more comprehensive modeling: by measuring the relationships and underlying connections between social determinants and health, SDoH then becomes substantial in a way that can help drive desired outcomes.
Alongside a new way of thinking about the construction of demographic models, Spatial Determinants of Health also incorporate far more variables in its calculations, and at increasingly granular levels powered by machine learning. The result is transformative. Identifying, describing and quantifying real world phenomena is now possible, and the ability to generate insight and apply it in the context of human personas becomes real.
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