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

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Title: Dataset of COVID-19 outbreak and potential predictive features in the USA
Authors: Arezoo Haratian, Hadi Fazelinia, Zeinab Maleki, Pouria Ramazi, Hao Wang, Mark A. Lewis, Russell Greiner, David Wishart
Source: Data in Brief, Vol 38, Iss , Pp 107360- (2021)
Publisher Information: Elsevier, 2021.
Publication Year: 2021
Collection: LCC:Computer applications to medicine. Medical informatics
LCC:Science (General)
Subject Terms: COVID-19, Epidemiology, Predictive features, Machine learning, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-3409
Relation: http://www.sciencedirect.com/science/article/pii/S2352340921006429; https://doaj.org/toc/2352-3409
DOI: 10.1016/j.dib.2021.107360
Access URL: https://doaj.org/article/fdb1933041c9469e98a4152dded3e2f4
Accession Number: edsdoj.fdb1933041c9469e98a4152dded3e2f4
Database: Directory of Open Access Journals
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  Data: <searchLink fieldCode="AR" term="%22Arezoo+Haratian%22">Arezoo Haratian</searchLink><br /><searchLink fieldCode="AR" term="%22Hadi+Fazelinia%22">Hadi Fazelinia</searchLink><br /><searchLink fieldCode="AR" term="%22Zeinab+Maleki%22">Zeinab Maleki</searchLink><br /><searchLink fieldCode="AR" term="%22Pouria+Ramazi%22">Pouria Ramazi</searchLink><br /><searchLink fieldCode="AR" term="%22Hao+Wang%22">Hao Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Mark+A%2E+Lewis%22">Mark A. Lewis</searchLink><br /><searchLink fieldCode="AR" term="%22Russell+Greiner%22">Russell Greiner</searchLink><br /><searchLink fieldCode="AR" term="%22David+Wishart%22">David Wishart</searchLink>
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  Data: Data in Brief, Vol 38, Iss , Pp 107360- (2021)
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  Data: 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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  Data: http://www.sciencedirect.com/science/article/pii/S2352340921006429; https://doaj.org/toc/2352-3409
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      – SubjectFull: COVID-19
        Type: general
      – SubjectFull: Epidemiology
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      – SubjectFull: Predictive features
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