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arXiv · 2201.11109

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
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Abstract

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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Richard Swartzbaugh, Amil Khanzada, Praveen Govindan, Mert Pilanci, Ayomide Owoyemi, Les Atlas, Hugo Estrada, Richard Nall, Michael Lotito, Rich Falcone, Jennifer Ranjani J. 2022-01-21. Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML). https://arxiv.org/abs/2201.11109

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