Evidence map›Paper›PMID 34500085›Full record

ArticleAnnals of epidemiology2021

Social vulnerability and county stay-at-home behavior during COVID-19 stay-at-home orders, United States, April 7-April 20, 2020.

Kelly M Fletcher, Julie Espey, Marissa K Grossman, J Danielle Sharpe, Frank C Curriero, Grete E Wilt, Gregory Sunshine, Amanda Moreland, Mara Howard-Williams, J Gabriel Ramos and 4 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 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022
    Pooled it
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  9. A social identity approach to crisis leadership.The British journal of social psychology · 2025
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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

14 authors.

Kelly M FletcherAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA. Electronic address: kfletcher@cdc.gov.
Julie EspeyAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.
Marissa K GrossmanAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.
J Danielle SharpeAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.
Frank C CurrieroAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Grete E WiltAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.
Gregory SunshineCenters for Disease Control and Prevention, Atlanta, GA.
Amanda MorelandCenters for Disease Control and Prevention, Atlanta, GA.
Mara Howard-WilliamsCenters for Disease Control and Prevention, Atlanta, GA.
J Gabriel RamosCuebiq, Inc., New York, NY.
Danilo GiuffridaCuebiq, Inc., New York, NY.
Macarena C GarcíaCenters for Disease Control and Prevention, Atlanta, GA.
William M HartnettAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.
Stephanie FosterAgency for Toxic Substances and Disease Registry, Geospatial Research, Analysis, and Services Program, Atlanta, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEarly COVID-19 mitigation relied on people staying home except for essential trips. The ability to stay home may differ by sociodemographic factors. We analyzed how factors related to social vulnerability impact a community's ability to stay home during a stay-at-home order.

methodsUsing generalized, linear mixed models stratified by stay-at-home order (mandatory or not mandatory), we analyzed county-level stay-at-home behavior (inferred from mobile devices) during a period when a majority of United States counties had stay-at-home orders (April 7-April 20, 2020) with the Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI).

resultsCounties with higher percentages of single-parent households, mobile homes, and persons with lower educational attainment were associated with lower stay-at-home behavior compared with counties with lower respective percentages. Counties with higher unemployment, higher percentages of limited-English-language speakers, and more multi-unit housing were associated with increases in stay-at-home behavior compared with counties with lower respective percentages. Stronger effects were found in counties with mandatory orders.

conclusionsSociodemographic factors impact a community's ability to stay home during COVID-19 stay-at-home orders. Communities with higher social vulnerability may have more essential workers without work-from-home options or fewer resources to stay home for extended periods, which may increase risk for COVID-19. Results are useful for tailoring messaging, COVID-19 vaccine delivery, and public health responses to future outbreaks.

Indexed as

COVID-19COVID-19 VaccinesHumansSARS-CoV-2United StatesCOVID-19 VaccinesCOVID-19Generalized linear mixed effect modelGISPopulation movementSocial vulnerabilitySpatial analysisStay-at-home order

Identifiers

PMID34500085
PMCPMC8523174

What OpenQuestion holds

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Registered trials

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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.