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COVID-19 simulation (v2)- An Interactive Tool for Analyses of Phased Reopening Decisions

Xinmeng Zhao; Hanisha Tatapudi; Sonza Singh; Shifali Bansal; Seyedeh Nazanin Khatami; Chaitra Gopalappa

This is an interactive simulation tool for evaluating the impact of different combinations of phased changes in social distancing, contact tracing and testing, and universal testing. The simulation is a deterministic compartmental model calibrated to match the epidemic in New York. The model is constructed in Python software, and is setup with a user-friendly interactive interface through the Google Colab for ease of use to the general audience. Thus, the tool can be used by multiple stakeholders for evaluating alternative phased reopening decisions while keeping the impact of the COVID-19 epidemic to minimal. This version 2 allows evaluations of multiple alternative combinations, flexibility to change units costs, and flexibility in setting analytic time-period.

Instructions for using the interactive tool are on the GitHub page https://diseasemodeling.github.io/COVID19-v2/
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diseasemodeling/COVID19-v2-v2.0.zip
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