Assessing the Severity of COVID-19 in the United States

Kehan Gao (), Sarah Tasneem () and Taghi Khoshgoftaar ()
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Kehan Gao: Eastern Connecticut State University
Sarah Tasneem: Eastern Connecticut State University
Taghi Khoshgoftaar: Florida Atlantic University

A chapter in Applications in Reliability and Statistical Computing, 2023, pp 117-134 from Springer

Abstract: Abstract The paper proposes a unique set of relatively simple-to-construct-and-use metrics to track the spread and severity of COVID-19 cases in the United States with respect to state-wise distribution. To our knowledge, such metrics have not been proposed by others. The proposed metrics and case study presented in the paper can serve as a template for public health officials to update the disease’s severity and spread across states. Consequently, effective resources can be directed to the hard-hit states. Since the number of infections and deaths due to COVID-19 is dynamic, the proposed metrics along with the case study’s approach can be easily updated to match new available data on the disease. The primary message of our work is to provide a unique perspective into investigating the current severity and spread of the pandemic in different states in the country and highlight states with a relatively high severity score.

Keywords: COVID-19; Pandemic; Ratio-based metrics; Severity score (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-21232-1_6

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DOI: 10.1007/978-3-031-21232-1_6

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