COVID-19 has quickly upended daily life in Los Angeles. Using data science, we may be able to predict when and where the risk of contracting COVID-19 is highest. This would allow citizens to go about their lives normally when it is safe to do so and shelter-in-place less often only when needed.

The basic idea behind our risk scores was to attempt to predict the number of new infections in a given neighborhood on a given day. If predicted new infections per capita are high, then we deem the risk of contracting COVID-19 on that day in that neighborhood high.

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