Evidence map›Paper›PMID 33596446›Full record

ArticleAnnals of epidemiology2021

Differences in rapid increases in county-level COVID-19 incidence by implementation of statewide closures and mask mandates - United States, June 1-September 30, 2020.

Sharoda Dasgupta, Ahmed M Kassem, Gregory Sunshine, Tiebin Liu, Charles Rose, Gloria J Kang, Rachel Silver, Brandy L Peterson Maddox, Christina Watson, Mara Howard-Williams and 21 more

Abstract read
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Sharoda DasguptaCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Ahmed M KassemCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Gregory SunshineCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA; Public Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Tiebin LiuCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Charles RoseCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Gloria J KangCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Rachel SilverCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Brandy L Peterson MaddoxCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Christina WatsonCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Mara Howard-WilliamsPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Maxim GakhUniversity of Nevada, Las Vegas, Las Vegas, NV.
Russell McCordCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA; Public Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Regen WeberPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Kelly FletcherCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Trieste MusialCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Michael A TynanCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Rachel HulkowerCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA; Public Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Amanda MorelandPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Dawn PepinCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Lisa LandsmanPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Amanda BrownPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Siobhan GilchristCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Catherine ClodfelterCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Michael WilliamsCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Ryan CramerCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Alexa LimeresCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Adebola PopoolaCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Sebnem DugmeogluCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
Julia ShelburnePublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Gi JeongPublic Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Carol Y RaoCDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: crao@cdc.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCommunity mitigation strategies could help reduce COVID-19 incidence, but there are few studies that explore associations nationally and by urbanicity. In a national county-level analysis, we examined the probability of being identified as a county with rapidly increasing COVID-19 incidence (rapid riser identification) during the summer of 2020 by implementation of mitigation policies prior to the summer, overall and by urbanicity.

methodsWe analyzed county-level data on rapid riser identification during June 1-September 30, 2020 and statewide closures and statewide mask mandates starting March 19 (obtained from state government websites). Poisson regression models with robust standard error estimation were used to examine differences in the probability of rapid riser identification by implementation of mitigation policies (P-value< .05); associations were adjusted for county population size.

resultsCounties in states that closed for 0-59 days were more likely to become a rapid riser county than those that closed for >59 days, particularly in nonmetropolitan areas. The probability of becoming a rapid riser county was 43% lower among counties that had statewide mask mandates at reopening (adjusted prevalence ratio = 0.57; 95% confidence intervals = 0.51-0.63); when stratified by urbanicity, associations were more pronounced in nonmetropolitan areas.

conclusionsThese results underscore the potential value of community mitigation strategies in limiting the COVID-19 spread, especially in nonmetropolitan areas.

Indexed as

Communicable Disease ControlCOVID-19HumansIncidenceMasksUnited StatesClosuresCOVID-19Mask mandatesMitigation strategies

Identifiers

PMID33596446
PMCPMC7882220

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.