Evidence map›Paper›PMID 32889290›Full record

ArticleThe Science of the total environment2021

Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach.

Margaret M Sugg, Trent J Spaulding, Sandi J Lane, Jennifer D Runkle, Stella R Harden, Adam Hege, Lakshmi S Iyer

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 5 pooled it
25.1field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
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  8. Drivers of COVID-19 infections: Perspectives of managers in the Gauteng Department of Health, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
    Article
  9. Lifting Federal Visitation Restriction and COVID-19 Infections in Nursing Homes.Journal of the American Medical Directors Association · 2025
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  16. Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis.International journal of environmental research and public health · 2022
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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

7 authors at 2 institutions in 1 country.

Margaret M SuggDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC 28608, United States of America. Electronic address: kovachmm@appstate.edu.
Trent J SpauldingDepartment of Nutrition and Healthcare Management, Appalachian State University, Boone, NC, United States of America.
Sandi J LaneDepartment of Nutrition and Healthcare Management, Appalachian State University, Boone, NC, United States of America.
Jennifer D RunkleDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC 28608, United States of America; North Carolina Institute of Climate Studies, North Carolina State University, 151 Patton Avenue, Asheville, NC 28801, United States of America. Electronic address: jrrunkle@ncsu.edu.
Stella R HardenDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC 28608, United States of America.
Adam HegeDepartment of Health and Exercise Science, Public Health Program, Appalachian State University, Boone, NC, United States of America.
Lakshmi S IyerDepartment of Computer Information Systems, Appalachian State University, Boone, NC, United States of America.
Appalachian State University · USNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deaths from the COVID-19 pandemic have disproportionately affected older adults and residents in nursing homes. Although emerging research has identified place-based risk factors for the general population, little research has been conducted for nursing home populations. This GIS-based spatial modeling study aimed to determine the association between nursing home-level metrics and county-level, place-based variables with COVID-19 confirmed cases in nursing homes across the United States. A cross-sectional research design linked data from Centers for Medicare & Medicaid Services, American Community Survey, the 2010 Census, and COVID-19 cases among the general population and nursing homes. Spatial cluster analysis identified specific regions with statistically higher COVID-19 cases and deaths among residents. Multivariate analysis identified risk factors at the nursing home level including, total count of fines, total staffing levels, and LPN staffing levels. County-level or place-based factors like per-capita income, average household size, population density, and minority composition were significant predictors of COVID-19 cases in the nursing home. These results provide a framework for examining further COVID-19 cases in nursing homes and highlight the need to include other community-level variables when considering risk of COVID-19 transmission and outbreaks in nursing homes.

Indexed as

Coronavirus InfectionsMedicareNursing HomesPandemicsPneumonia, ViralAgedBetacoronavirusCOVID-19Cross-Sectional StudiesHumansIncomePopulation DensityRisk FactorsSARS-CoV-2United StatesWorkforceCOVID-19Multilevel modelsNursing homesSpatial analysis

Identifiers

PMID32889290
PMCPMC7446707
OpenAlexW3080837961

What OpenQuestion holds

Textmetadata
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.