Dataset of COVID-19 outbreak and potential predictive features in the USA
Date
2021
Authors
Haratian, Arezoo
Fazelinia, Hadi
Maleki, Zeinab
Ramazi, Pouria
Wang, Hao
Lewis, Mark A.
Greiner, Russell
Wishart, David
Journal Title
Journal ISSN
Volume Title
Publisher
Data in Brief
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.
Description
Keywords
COVID-19, epidemiology, predictive features, machine learning
Citation
Haratian, A., Fazelinia, H., Maleki, Z., Ramazi, P., Wang, H., Lewis, M. A., Greiner, R., & Wishart, D. (2021). Dataset of COVID-19 outbreak and potential predictive features in the USA. Data in Brief, 38, 107360. https://doi.org/10.1016/j.dib.2021.107360