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An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time.
- Source :
-
Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Jul 01; Vol. 27 (7), pp. 1121-1125. - Publication Year :
- 2020
-
Abstract
- Objective: The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area.<br />Materials and Methods: This R Shiny application aggregates data from multiple resources that track COVID-19 and visualizes them through an interactive, online dashboard.<br />Results: 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.<br />Discussion: 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.<br />Conclusions: The COVID-19 Watcher can provide the public with real-time updates of outbreaks in their area.<br /> (© 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.)
- Subjects :
- COVID-19
Centers for Disease Control and Prevention, U.S.
Cities
Coronavirus Infections mortality
Humans
Pandemics
Pneumonia, Viral mortality
SARS-CoV-2
Software
United States epidemiology
Betacoronavirus
Consumer Health Informatics
Coronavirus Infections epidemiology
Disease Outbreaks statistics & numerical data
Pneumonia, Viral epidemiology
User-Computer Interface
Subjects
Details
- Language :
- English
- ISSN :
- 1527-974X
- Volume :
- 27
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Journal of the American Medical Informatics Association : JAMIA
- Publication Type :
- Academic Journal
- Accession number :
- 32333753
- Full Text :
- https://doi.org/10.1093/jamia/ocaa071