2022
DOI: 10.1016/j.annepidem.2022.04.006
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SARS-CoV-2 transmission potential and rural-urban disease burden disparities across Alabama, Louisiana, and Mississippi, March 2020 — May 2021

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Cited by 5 publications
(2 citation statements)
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“…A modelling study that estimated the effects of 17 non-pharmaceutical interventions across two waves in seven European countries estimated that a lockdown (banning all gatherings and closing all non-essential businesses) reduced the Rt by 52% (95% CrI: 47%, 56%) [45]. Two studies in the US in 2020 found similar reductions, estimating a reduction of Rt by 51% (95% CI: 46%, 57%) after stay-at-home orders were implemented in some states [38,80]. However, another study carried out on a multi-national scale in early 2020 concluded that stay-at-home orders had a relatively small additional effect (on top of business closures, school closures and gathering restrictions that were already in place), reducing the Rt by 13% (95% prediction interval (PI): 5%, 31%) [16].…”
Section: Resultsmentioning
confidence: 99%
“…A modelling study that estimated the effects of 17 non-pharmaceutical interventions across two waves in seven European countries estimated that a lockdown (banning all gatherings and closing all non-essential businesses) reduced the Rt by 52% (95% CrI: 47%, 56%) [45]. Two studies in the US in 2020 found similar reductions, estimating a reduction of Rt by 51% (95% CI: 46%, 57%) after stay-at-home orders were implemented in some states [38,80]. However, another study carried out on a multi-national scale in early 2020 concluded that stay-at-home orders had a relatively small additional effect (on top of business closures, school closures and gathering restrictions that were already in place), reducing the Rt by 13% (95% prediction interval (PI): 5%, 31%) [16].…”
Section: Resultsmentioning
confidence: 99%
“…We also used the non-overlapping time window method to estimate the average R t for the early ascending phase for each of the COVID-19 waves. For the R t estimation, the distribution of serial interval was parametrically defined using a mean of 4.6 days and SD of 5.55 days ( Ofori et al. , 2022 ; You et al.…”
Section: Methodsmentioning
confidence: 99%