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Chapter 6 - Benford Agreement Analysis of US and Global COVID-19 New Cases Data

Published online by Cambridge University Press:  09 November 2023

Michael A. Long ,
Paul B. Stretesky ,
Kenneth J. Berry ,
Janis E. Johnston  and
Michael J. Lynch
Michael A. Long
Affiliation:
Oklahoma State University
Paul B. Stretesky
Affiliation:
Northumbria University, Newcastle
Kenneth J. Berry
Affiliation:
Colorado State University
Janis E. Johnston
Affiliation:
USDA
Michael J. Lynch
Affiliation:
University of South Florida
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Summary

Chapter 6 provides a second empirical example of the Benford agreement procedure: here we analyze new daily COVID-19 cases at the US state level and at the global level across nations. Both the state-level and the global analyses consider time as a variable. Specifically we examine, (1) for the United States, new reports of COVID-19 between January 22, 2020 and November 16, 2021 at the state level, and (2) for the cross-national data, new reports of COVID-19 between February 24, 2020 and January 13, 2022. At the state level, we report Benford agreement analyses for (1) the full dataset, (2) cases grouped alphabetically, (3) cases grouped regionally, (4) cases grouped by days of the week, and (5) cases grouped by their governor’s party (Republican or Democratic). We then turn our Benford agreement analysis to global cross-national COVID-19 data to assess whether Benford agreement of COVID-19 varies across countries.

Keywords

Benford agreement analysisCOVID-19globalUS
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Chapter
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Applying Benford's Law for Assessing the Validity of Social Science Data , pp. 131 - 168
Publisher: Cambridge University Press
Print publication year: 2023

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