When Second Best Might be the Best: Using Hospitalization Data to Monitor the Novel Coronavirus Pandemic

Author:

Mallow Peter J.ORCID,Jones Michael

Abstract

AbstractThe novel coronavirus’ high rate of asymptomatic transmission combined with a lack of testing kits call for a different approach to monitor its spread and severity. We proposed the use of hospitalizations and hospital utilization data to monitor the spread and severity. A proposed threshold of a declining 7-day moving average over a 14-day period, “7&14” was set to communicate when a wave of the novel coronavirus may have passed. The state of Ohio was chosen to illustrate this threshold. While not the ideal solution for monitoring the spread of the epidemic, the proposed approach is an easy to implement framework accounting for limitations of the data inherent in the current epidemic. Hospital administrators and policy makers may benefit from incorporating this approach into their decision making.

Publisher

Cold Spring Harbor Laboratory

Reference19 articles.

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3. The Centers for Disease Control and Prevention (CDC). Coronavirus. www.cdc.gov/coronavirus. Accessed April 19, 2020.

4. The Centers for Disesae Control and Prevention (CDC). National Center for Health Statistics. Occupancy Rates in Community Hospitals. 2016. https://www.cdc.gov/nchs/data/hus/2017/091.pdf Accessed on April 19, 2020.

5. Definitive Healthcare. COVID-19 Capacity Predictor. www.definitivehc.com/resources/covid-19-capacity-predictor. Accessed April 20, 2020.

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