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ZENODO
Dataset . 2022
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2022
License: CC 0
Data sources: Datacite
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Daily United States COVID-19 data for select cities and counties, May 29, 2020 to October 21, 2020

Authors: at The Atlantic, The COVID Tracking Project;

Daily United States COVID-19 data for select cities and counties, May 29, 2020 to October 21, 2020

Abstract

This dataset by The COVID Tracking Project at The Atlantic captures the virus’s transmission in 65 cities and counties across the country. Many of these metropolitan areas only report the current day’s totals and remove older data from their public health dashboards so that no historical archive is available. As a result, it’s often impossible to see the impact of the virus on a particular geography over time. Our dataset captures this historical information. It is the only available metropolitan dataset that includes race and ethnicity, which allows us to improve our understanding of how COVID-19 disproportionately affects communities of color. We have completed our data collection on this project and want to share what we’ve learned from viewing COVID-19 at the local level. Five months in, we’ve seen that local data tells a vastly different story than state-level data. Not only do trends emerge in city and county data before appearing at the state level, but state-level data also obscures local patterns.

This dataset was compiled by volunteers with the COVID Cities project. Every day, this dedicated team of volunteers gathered COVID-19 case and death data from city and county websites and recent press conferences and releases.

Dataset includes README file that describes all datapoints.

Keywords

FOS: Health sciences

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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