2020/03/30 by William Broniec, Sungeun An, Broniec, William +5 · 1 citation
Computer Science · Mathematics · Social Sciences · #Artificial Intelligence in Law #COVID-19 epidemiological studies #Computers and Society (cs.CY) #FOS: Biological sciences #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning in Healthcare #Multi-Agent Systems and Negotiation #Populations and Evolution (q-bio.PE)
paper · pdf · doi:10.48550/arxiv.2003.13762
openalex publication_date 2020/03/30 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
COVID-19 continues to spread across the country and around the world. Current\nstrategies for managing the spread of COVID-19 include social distancing. We\npresent VERA, an interactive AI tool, that first enables users to specify\nconceptual models of the impact of social distancing on the spread of COVID-19.\nThen, VERA automatically spawns agent-based simulations from the conceptual\nmodels, and, given a data set, automatically fills in the values of the\nsimulation parameters from the data. Next, the user can view the simulation\nresults, and, if needed, revise the simulation parameters and run another\nexperimental trial, or build an alternative conceptual model. We describe the\nuse VERA to develop a SIR model for the spread of COVID-19 and its relationship\nwith healthcare capacity.\n