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

• Author(s) / Creator(s)

  • Arezoo Haratian
  • Hadi Fazelinia
  • Zeinab Maleki
  • Pouria Ramazi
  • Hao Wang
  • Mark A. Lewis
  • Russell Greiner
  • David Wishart

• 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.

• Date created

  2021-01-01

• Subjects / Keywords

  • COVID-19
  • Epidemiology
  • Predictive features
  • Machine learning

• Type of Item

  Article (Published)

• DOI

  https://doi.org/10.7939/r3-ccxb-jn81

• License

  Attribution-NonCommercial 4.0 International