Modeling COVID-19 infection based on movement can improve public health response

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Modeling COVID-19 infection based on movement can improve public health response

An epidemic like COVID-19 relies on infected people mixing with uninfected people—encounters that typically require one or both to move around. A new method for modeling the progression of pandemic infections incorporates location data from smartphones to give public health policymakers a more accurate picture of the way people in their communities are mixing and where and how to focus their efforts.

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