JOURNAL ARTICLE

Evaluation of the US Definitions for Coronavirus Disease 2019 Community Risk Levels.

  • Published In: Clinical Infectious Diseases, 2023, v. 76, n. 8. P. 1496 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mokhtar, Sina; Parpia, Alyssa S; Lo, Nathan C; Ndeffo-Mbah, Martial L 3 of 3

Abstract

This article examines the temporal variability of the US Centers for Disease Control and Prevention (CDC) COVID-19 community levels, which classify county-level risk as low, medium, or high based on cases, hospital admissions, and inpatient bed use to guide public health measures. The study finds that these community levels frequently fluctuate, particularly in smaller and rural counties, potentially complicating public health decision-making and adherence. Alternative metric formulations that lower thresholds for inpatient bed occupancy show improved stability in risk classification without compromising predictive accuracy for severe outcomes. The authors suggest that refining these metrics could enhance their utility for guiding interventions, especially in less urbanized areas, while noting the need for further validation of alternative approaches.

Additional Information

  • Source:Clinical Infectious Diseases. 2023/04, Vol. 76, Issue 8, p1496
  • Document Type:Article
  • Subject Area:Public Health
  • Publication Date:2023
  • ISSN:1058-4838
  • DOI:10.1093/cid/ciac922
  • Accession Number:163191477
  • Copyright Statement:Copyright of Clinical Infectious Diseases is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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