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CovidCounties is an interactive real time tracker of the COVID19 pandemic at the level of US counties.
Arneson, Douglas; Elliott, Matthew; Mosenia, Arman; Oskotsky, Boris; Solodar, Samuel; Vashisht, Rohit; Zack, Travis; Bleicher, Paul; Butte, Atul J; Rudrapatna, Vivek A.
  • Arneson D; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Elliott M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Mosenia A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Oskotsky B; School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Solodar S; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Vashisht R; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Zack T; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Bleicher P; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Butte AJ; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Rudrapatna VA; Evident Health Strategies, West Newton, MA, USA.
Sci Data ; 7(1): 405, 2020 11 16.
Article in English | MEDLINE | ID: covidwho-926927
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ABSTRACT
Management of the COVID-19 pandemic has proven to be a significant challenge to policy makers. This is in large part due to uneven reporting and the absence of open-access visualization tools to present local trends and infer healthcare needs. Here we report the development of CovidCounties.org, an interactive web application that depicts daily disease trends at the level of US counties using time series plots and maps. This application is accompanied by a manually curated dataset that catalogs all major public policy actions made at the state-level, as well as technical validation of the primary data. Finally, the underlying code for the site is also provided as open source, enabling others to validate and learn from this work.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-00731-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-00731-8