Using VERA to explain the impact of social distancing on the spread of COVID-19

• URL: http://arxiv.org/abs/2003.13762v1
• Date: Mon, 30 Mar 2020 19:22:07 GMT
• Title: Using VERA to explain the impact of social distancing on the spread of COVID-19
• Authors: William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel
• Abstract summary: We present VERA, an interactive AI tool, that enables users to specify conceptual models of the impact of social distancing on the spread of COVID-19. We describe the use VERA to develop a SIR model for the spread of COVID-19 and its relationship with healthcare capacity.
• Score: 7.4842212802498755
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: COVID-19 continues to spread across the country and around the world. Current strategies for managing the spread of COVID-19 include social distancing. We present VERA, an interactive AI tool, that first enables users to specify conceptual models of the impact of social distancing on the spread of COVID-19. Then, VERA automatically spawns agent-based simulations from the conceptual models, and, given a data set, automatically fills in the values of the simulation parameters from the data. Next, the user can view the simulation results, and, if needed, revise the simulation parameters and run another experimental trial, or build an alternative conceptual model. We describe the use VERA to develop a SIR model for the spread of COVID-19 and its relationship with healthcare capacity.

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