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

TL;DR
This paper introduces a COVID-19 calculator that combines existing tools and data to evaluate the socio-economic benefits of an AI/ML pre-screening solution in the U.S.
Contribution
It presents a novel calculator that synthesizes multiple data sources to measure the socio-economic impact of COVID-19 pre-screening AI/ML solutions.
Findings
Quantifies positive socio-economic impact of pre-screening AI/ML solutions
Provides a tool for policymakers to assess COVID-19 intervention benefits
Synthesizes existing calculators and data for comprehensive analysis
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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Taxonomy
TopicsCOVID-19 Pandemic Impacts · COVID-19 epidemiological studies
