Publication

Spatially refined time-varying reproduction numbers of SARS-CoV-2 in Arkansas and Kentucky and their relationship to population size and public health policy, March – November 2020

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Last modified
  • 05/22/2025
Type of Material
Authors
    Maria D Politis, Icahn School of Medicine at Mount SinaiXinyii Hua, Georgia Southern UniversityChigozie A Ogwara, Georgia Southern UniversityMargaret R Davies, Georgia Southern UniversityTemitayo M Adebile, Georgia Southern UniversityMaya P Sherman, Georgia Southern UniversityXiaolu Zhou, Texas Christian UniversityGerardo Chowell, Georgia State UniversityAnne Spaulding, Emory UniversityIsaac Chun-Hai Fung, Georgia Southern University
Language
  • English
Date
  • 2022-04-01
Publisher
  • Elsevier Inc.
Publication Version
Copyright Statement
  • © 2021 Elsevier Inc. All rights reserved.
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 68
Start Page
  • 37
End Page
  • 44
Supplemental Material (URL)
Abstract
  • Purpose: To examine the time-varying reproduction number, Rt, for COVID-19 in Arkansas and Kentucky and investigate the impact of policies and preventative measures on the variability in Rt. Methods: Arkansas and Kentucky county-level COVID-19 cumulative case count data (March 6-November 7, 2020) were obtained. Rt was estimated using the R package ‘EpiEstim’, by county, region (Delta, non-Delta, Appalachian, non-Appalachian), and policy measures. Results: The Rt was initially high, falling below 1 in May or June depending on the region, before stabilizing around 1 in the later months. The median Rt for Arkansas and Kentucky at the end of the study were 1.15 (95% credible interval [CrI], 1.13, 1.18) and 1.10 (95% CrI, 1.08, 1.12), respectively, and remained above 1 for the non-Appalachian region. Rt decreased when facial coverings were mandated, changing by -10.64% (95% CrI, -10.60%, -10.70%) in Arkansas and -5.93% (95% CrI, -4.31%, -7.65%) in Kentucky. The trends in Rt estimates were mostly associated with the implementation and relaxation of social distancing measures. Conclusions: Arkansas and Kentucky maintained a median Rt above 1 during the entire study period. Changes in Rt estimates allow quantitative estimates of potential impact of policies such as facemask mandate.
Author Notes
  • Maria D. Politis DrPH, MPH, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai New York, New York, 10029- 6574. Email: maria.politis@mssm.edu
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Health Sciences, Epidemiology

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