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

This 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 o...

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Bibliographic Details
Published inData in brief Vol. 38; p. 107360
Main Authors Haratian, Arezoo, Fazelinia, Hadi, Maleki, Zeinab, Ramazi, Pouria, Wang, Hao, Lewis, Mark A., Greiner, Russell, Wishart, David
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.10.2021
Elsevier
Subjects
COVID-19
Data
Epidemiology
Machine learning
Predictive features
COVID-19
Predictive features
Epidemiology
Machine learning
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Summary:This 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.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2021.107360