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Dataset of COVID-19 outbreak and potential predictive features in the USA

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dc.contributor.authorArezoo Haratian
dc.contributor.authorHadi Fazelinia
dc.contributor.authorZeinab Maleki
dc.contributor.authorPouria Ramazi
dc.contributor.authorHao Wang
dc.contributor.authorMark A. Lewis
dc.contributor.authorRussell Greiner
dc.contributor.authorDavid Wishart
dc.date.accessioned2025-05-01T12:00:56Z
dc.date.available2025-05-01T12:00:56Z
dc.date.issued2021-01-01
dc.descriptionThis dataset provides information related to the outbreak of COVID-19 disease in the United States, including data from each of 3142 US counties from the beginning of the outbreak (January 2020) until June 2021. This data is collected from many public online databases and includes the daily number of COVID-19 confirmed cases and deaths, as well as 46 features that may be relevant to the pandemic dynamics: demographic, geographic, climatic, traffic, public-health, social-distancing-policy adherence, and political characteristics of each county. We anticipate many researchers will use this dataset to train models that can predict the spread of COVID-19 and to identify the key driving factors.
dc.identifier.doihttps://doi.org/10.7939/r3-ccxb-jn81
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCOVID-19
dc.subjectEpidemiology
dc.subjectPredictive features
dc.subjectMachine learning
dc.titleDataset of COVID-19 outbreak and potential predictive features in the USA
dc.typehttp://purl.org/coar/resource_type/c_6501 http://purl.org/coar/version/c_970fb48d4fbd8a85
ual.jupiterAccesshttp://terms.library.ualberta.ca/public

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