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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431837/ https://www.ncbi.nlm.nih.gov/pubmed/34522726 http://dx.doi.org/10.1016/j.dib.2021.107360 |
_version_ | 1783751030117236736 |
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author | Haratian, Arezoo Fazelinia, Hadi Maleki, Zeinab Ramazi, Pouria Wang, Hao Lewis, Mark A. Greiner, Russell Wishart, David |
author_facet | Haratian, Arezoo Fazelinia, Hadi Maleki, Zeinab Ramazi, Pouria Wang, Hao Lewis, Mark A. Greiner, Russell Wishart, David |
author_sort | Haratian, Arezoo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8431837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84318372021-09-10 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 Data Brief Data Article 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. Elsevier 2021-09-10 /pmc/articles/PMC8431837/ /pubmed/34522726 http://dx.doi.org/10.1016/j.dib.2021.107360 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Haratian, Arezoo Fazelinia, Hadi Maleki, Zeinab Ramazi, Pouria Wang, Hao Lewis, Mark A. Greiner, Russell Wishart, David Dataset of COVID-19 outbreak and potential predictive features in the USA |
title | Dataset of COVID-19 outbreak and potential predictive features in the USA |
title_full | Dataset of COVID-19 outbreak and potential predictive features in the USA |
title_fullStr | Dataset of COVID-19 outbreak and potential predictive features in the USA |
title_full_unstemmed | Dataset of COVID-19 outbreak and potential predictive features in the USA |
title_short | Dataset of COVID-19 outbreak and potential predictive features in the USA |
title_sort | dataset of covid-19 outbreak and potential predictive features in the usa |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431837/ https://www.ncbi.nlm.nih.gov/pubmed/34522726 http://dx.doi.org/10.1016/j.dib.2021.107360 |
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