Flight Data to Predict COVID-19 Cases by Machine Learning
Date
2021-04-28
Authors
Alshabana, Ghadah
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Abstract
Coronavirus can be transmitted through the air in close proximity to infected persons. Commercial aircraft is a likely way to both transmit the virus among passengers and move the virus between locations. Our team utilized machine learning to determine if the number of flights into the Washington DC Metro Area had an effect on the number of cases and deaths reported in the city and surrounding area.
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Keywords
COVID-19, Machine learning