Stop COVID-19 Cases by Using Data Analytics Approach

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dc.contributor.authorChitimalla, Ashritha
dc.date.accessioned2022-01-20T00:00:56Z
dc.date.available2022-01-20T00:00:56Z
dc.date.issued2021-04-28
dc.description.abstractThe most common way Covid-19 can spread is by human interaction, through respiratory droplets such as talking, coughing, sneezing, and more. Air travelers can come from countries or areas with a high rate of infection and may very well be at risk of being exposed to the virus. Therefore, as they reach the United States, the virus could easily spread. This project predicts COVID19 cases based on flight data.
dc.identifier.urihttps://hdl.handle.net/1920/12222
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectCOVID-19
dc.subjectMachine learning
dc.titleStop COVID-19 Cases by Using Data Analytics Approach
dc.typeWorking Paper

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