We have developed a rigorous hybrid model-and-data-driven Bayesian approach to risk scoring based on a time-varying SIR epidemic model that yields a simplified color-coded risk level for each community. The risk score corresponds to the probability of someone currently healthy getting infected with COVID-19 in the near future. Code and data from our effort have been open-sourced. We apply our approach to assess the risk of infection
in various communities in the County of LA.

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