An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time

The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area. This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard. The Web resource, c...

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Published in:Journal of the American Medical Informatics Association : JAMIA Vol. 27; no. 7; p. 1121
Main Authors: Wissel, Benjamin D, Van Camp, P J, Kouril, Michal, Weis, Chad, Glauser, Tracy A, White, Peter S, Kohane, Isaac S, Dexheimer, Judith W
Format: Journal Article
Language:English
Published: England 01.07.2020
Subjects:
Betacoronavirus
Centers for Disease Control and Prevention, U.S
Cities
Consumer Health Informatics
Coronavirus Infections - epidemiology
Coronavirus Infections - mortality
COVID-19
Disease Outbreaks - statistics & numerical data
Humans
Pandemics
Pneumonia, Viral - epidemiology
Pneumonia, Viral - mortality
SARS-CoV-2
Software
United States - epidemiology
User-Computer Interface
United States
Cities
COVID-19
health informatics
data visualization
ISSN:1527-974X, 1527-974X
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Abstract The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area. This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard. The Web resource, called the COVID-19 Watcher, can be accessed online (https://covid19watcher.research.cchmc.org/). It displays COVID-19 data from every county and 188 metropolitan areas in the United States. Features include rankings of the worst-affected areas and auto-generating plots that depict temporal changes in testing capacity, cases, and deaths. The Centers for Disease Control and Prevention does not publish COVID-19 data for local municipalities, so it is critical that academic resources fill this void so the public can stay informed. The data used have limitations and likely underestimate the scale of the outbreak. The COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.
AbstractList The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area. This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard. The Web resource, called the COVID-19 Watcher, can be accessed online (https://covid19watcher.research.cchmc.org/). It displays COVID-19 data from every county and 188 metropolitan areas in the United States. Features include rankings of the worst-affected areas and auto-generating plots that depict temporal changes in testing capacity, cases, and deaths. The Centers for Disease Control and Prevention does not publish COVID-19 data for local municipalities, so it is critical that academic resources fill this void so the public can stay informed. The data used have limitations and likely underestimate the scale of the outbreak. The COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.
The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area.OBJECTIVEThe study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area.This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard.MATERIALS AND METHODSThis R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard.The Web resource, called the COVID-19 Watcher, can be accessed online (https://covid19watcher.research.cchmc.org/). It displays COVID-19 data from every county and 188 metropolitan areas in the United States. Features include rankings of the worst-affected areas and auto-generating plots that depict temporal changes in testing capacity, cases, and deaths.RESULTSThe Web resource, called the COVID-19 Watcher, can be accessed online (https://covid19watcher.research.cchmc.org/). It displays COVID-19 data from every county and 188 metropolitan areas in the United States. Features include rankings of the worst-affected areas and auto-generating plots that depict temporal changes in testing capacity, cases, and deaths.The Centers for Disease Control and Prevention does not publish COVID-19 data for local municipalities, so it is critical that academic resources fill this void so the public can stay informed. The data used have limitations and likely underestimate the scale of the outbreak.DISCUSSIONThe Centers for Disease Control and Prevention does not publish COVID-19 data for local municipalities, so it is critical that academic resources fill this void so the public can stay informed. The data used have limitations and likely underestimate the scale of the outbreak.The COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.CONCLUSIONSThe COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.
Author Glauser, Tracy A
Weis, Chad
Kouril, Michal
Dexheimer, Judith W
Wissel, Benjamin D
Kohane, Isaac S
White, Peter S
Van Camp, P J
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  surname: Wissel
  fullname: Wissel, Benjamin D
  organization: Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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  surname: Van Camp
  fullname: Van Camp, P J
  organization: Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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  fullname: Kouril, Michal
  organization: Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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  givenname: Chad
  surname: Weis
  fullname: Weis, Chad
  organization: Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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  givenname: Tracy A
  surname: Glauser
  fullname: Glauser, Tracy A
  organization: Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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  surname: White
  fullname: White, Peter S
  organization: Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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  givenname: Isaac S
  surname: Kohane
  fullname: Kohane, Isaac S
  organization: Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
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  givenname: Judith W
  surname: Dexheimer
  fullname: Dexheimer, Judith W
  organization: Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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Copyright The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.
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Issue 7
Keywords COVID-19
health informatics
data visualization
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Snippet The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area. This R Shiny application...
The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area.OBJECTIVEThe study sought...
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SubjectTerms Betacoronavirus
Centers for Disease Control and Prevention, U.S
Cities
Consumer Health Informatics
Coronavirus Infections - epidemiology
Coronavirus Infections - mortality
COVID-19
Disease Outbreaks - statistics & numerical data
Humans
Pandemics
Pneumonia, Viral - epidemiology
Pneumonia, Viral - mortality
SARS-CoV-2
Software
United States - epidemiology
User-Computer Interface
Title An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time
URI https://www.ncbi.nlm.nih.gov/pubmed/32333753
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Volume 27
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