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About:
A Novel Approach to Monitoring the COVID-19 Pandemic using Emergency Department Discharge Diagnoses
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covidontheweb.inria.fr
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
A Novel Approach to Monitoring the COVID-19 Pandemic using Emergency Department Discharge Diagnoses
Creator
Hall, M
Mokdad, Ali
Stern, Susan
Jablonowski, Karl
Duber, Herbert
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source
MedRxiv
abstract
Introduction Tracking the COVID-19 pandemic using existing metrics such as confirmed cases and deaths are insufficient for understanding the trajectory of the pandemic and identifying the next wave of cases. In this study, we demonstrate the utility of monitoring the daily number of patients with COVID-like illness (CLI) who present to the Emergency Department (ED) as a tool that can guide local response efforts. Methods Using data from two hospitals in King County, WA, we examined the daily volume of CLI visits, and compare them to confirmed COVID cases and COVID deaths in the County. A linear regression model with varying lags is used to predict the number of daily COVID deaths from the number of CLI visits. Results CLI visits appear to rise and peak well in advance of both confirmed COVID cases and deaths in King County. Our regression analysis to predict daily deaths with a lagged count of CLI visits in the ED showed that the R2 value was maximized at 14 days. Conclusions ED CLI visits are a leading indicator of the pandemic. Adopting and scaling up a CLI monitoring approach at the local level will provide needed actionable evidence to policy makers and health officials struggling to confront this health challenge.
has issue date
2020-06-11
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bibo:doi
10.1101/2020.06.09.20126508
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medrxiv
sha1sum (hex)
e38bc2e9d62368bbd9db0dd6bb0ff921194dd32e
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https://doi.org/10.1101/2020.06.09.20126508
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A Novel Approach to Monitoring the COVID-19 Pandemic using Emergency Department Discharge Diagnoses
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covid:e38bc2e9d62368bbd9db0dd6bb0ff921194dd32e#body_text
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named entity 'Discharge'
named entity 'utility'
named entity 'existing'
named entity 'guide'
named entity 'wave'
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