Ontology highlight
ABSTRACT: Introduction
We aimed to examine how public health policies influenced the dynamics of coronavirus disease 2019 (COVID-19) time-varying reproductive number (R t ) in South Carolina from February 26, 2020, to January 1, 2021.Methods
COVID-19 case series (March 6, 2020, to January 10, 2021) were shifted by 9 d to approximate the infection date. We analyzed the effects of state and county policies on R t using EpiEstim. We performed linear regression to evaluate if per-capita cumulative case count varies across counties with different population size.Results
R t shifted from 2-3 in March to <1 during April and May. R t rose over the summer and stayed between 1.4 and 0.7.
SUBMITTER: Davies MR
PROVIDER: S-EPMC9530385 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature