Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)

Richard Swartzbaugh,Amil Khanzada,Praveen Govindan,Mert Pilanci,Ayomide Owoyemi,Les Atlas,Hugo Estrada, Richard Nall, Michael Lotito,Rich Falcone,Jennifer Ranjani J

arxiv（2022）

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摘要

The COVID-19 pandemic has been a scourge upon humanity, claiming the lives of more than 5.1 million people worldwide; the global economy contracted by 3.5% in 2020. This paper presents a COVID-19 calculator, synthesizing existing published calculators and data points, to measure the positive U.S. socio-economic impact of a COVID-19 AI/ML pre-screening solution (algorithm & application).

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socio-economic,pre-screening

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