Evidence map›Paper›PMID 34847174›Full record

ArticlePloS one2021

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic.

Emma Zang, Jessica West, Nathan Kim, Christina Pao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 27 citations in OpenAlex.

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  9. Human behavior and disease dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  12. Factors Associated With Health Care Delays Among Adults Over 50 During the COVID-19 Pandemic.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
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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

4 authors at 3 institutions in 2 countries.

Emma ZangDepartment of Sociology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-5700-3179
Jessica WestCenter for the Study of Aging and Human Development, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-8320-8998
Nathan KimDepartment of Sociology, Yale University, New Haven, Connecticut, United States of America.
Christina PaoDepartment of Sociology, University of Oxford, Oxford, United Kingdom.
Yale University · USDuke University · USUniversity of Oxford · GB

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
BEHAVIOR AND PHYSIOLOGY IN AGINGT32AG000029 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 1985 to 2026
$9.3M
PSID, CDS, and TA: Data Enhancements and User Training, Support, and OutreachR25HD083146 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noura Elise Insolera · 2015 to 2026
$1.4M
Linked Lives, Linked Health: Health Trajectories of Persons with Cognitive Impairment and Their Caregivers' HealthR21AG074238 · NIA · YALE UNIVERSITY · PI ZANG, EMMA · 2021 to 2022
$473k
NIA NIH HHS P30 AG021342NIA NIH HHS R21 AG074238NIA NIH HHS T32 AG000029NICHD NIH HHS R25 HD083146
6 · The paper itself

Abstract

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

Indexed as

PandemicsPhysical DistancingRacial GroupsSocial ClassCensusesCOVID-19Educational StatusHumansIncomeQuarantineRural PopulationUnited StatesUrban Population

Identifiers

PMID34847174
PMCPMC8631641
OpenAlexW3215510384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.