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

  • Maria D. Politis
  • , Xinyi Hua
  • , Chigozie A. Ogwara
  • , Margaret R. Davies
  • , Temitayo M. Adebile
  • , Maya P. Sherman
  • , Xiaolu Zhou
  • , Gerardo Chowell
  • , Anne C. Spaulding
  • , Isaac Chun Hai Fung

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Pages (from-to)37-44
Number of pages8
JournalAnnals of Epidemiology
Volume68
DOIs
StatePublished - Apr 2022

Scopus Subject Areas

  • Epidemiology

Keywords

  • Covid-19
  • Reproduction number
  • Rural, policy
  • Sars-cov-2

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Cite this