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Dataset of COVID-19 outbreak and potential predictive features in the USA.
Haratian, Arezoo; Fazelinia, Hadi; Maleki, Zeinab; Ramazi, Pouria; Wang, Hao; Lewis, Mark A; Greiner, Russell; Wishart, David.
  • Haratian A; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
  • Fazelinia H; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
  • Maleki Z; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
  • Ramazi P; Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S 3A1, Canada.
  • Wang H; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1 Canada.
  • Lewis MA; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1 Canada.
  • Greiner R; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada.
  • Wishart D; Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada.
Data Brief ; 38: 107360, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1531175
Preprint
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ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Data Brief Year: 2021 Document Type: Article Affiliation country: J.dib.2021.107360

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Data Brief Year: 2021 Document Type: Article Affiliation country: J.dib.2021.107360