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Flight Data to Predict COVID-19 Cases by Machine Learning

Show simple item record Alshabana, Ghadah 2022-01-20T00:12:05Z 2022-01-20T00:12:05Z 2021-04-28
dc.description.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. en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri *
dc.subject COVID-19 en_US
dc.subject machine learning en_US
dc.title Flight Data to Predict COVID-19 Cases by Machine Learning en_US
dc.type Working Paper en_US

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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