Evidence map›Paper›PMID 37314984›Full record

ArticlePloS one2023

The neighborhood built environment and COVID-19 hospitalizations.

Alessandro Rigolon, Jeremy Németh, Brenn Anderson-Gregson, Ana Rae Miller, Priyanka deSouza, Brian Montague, Cory Hussain, Kristine M Erlandson, Sarah E Rowan

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors.

Alessandro RigolonDepartment of City and Metropolitan Planning, The University of Utah, Salt Lake City, Utah, United States of America.ORCID 0000-0001-5197-6394
Jeremy NémethDepartment of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America.
Brenn Anderson-GregsonDepartment of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America.
Ana Rae MillerDepartment of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America.
Priyanka deSouzaDepartment of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America.
Brian MontagueDepartment of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America.
Cory HussainDepartment of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America.
Kristine M ErlandsonDepartment of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America.
Sarah E RowanDepartment of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the associations between the built environment and COVID-19 outcomes has mostly focused on incidence and mortality. Also, few studies on the built environment and COVID-19 have controlled for individual-level characteristics across large samples. In this study, we examine whether neighborhood built environment characteristics are associated with hospitalization in a cohort of 18,042 individuals who tested positive for SARS-CoV-2 between May and December 2020 in the Denver metropolitan area, USA. We use Poisson models with robust standard errors that control for spatial dependence and several individual-level demographic characteristics and comorbidity conditions. In multivariate models, we find that among individuals with SARS-CoV-2 infection, those living in multi-family housing units and/or in places with higher particulate matter (PM2.5) have a higher incident rate ratio (IRR) of hospitalization. We also find that higher walkability, higher bikeability, and lower public transit access are linked to a lower IRR of hospitalization. In multivariate models, we did not find associations between green space measures and the IRR of hospitalization. Results for non-Hispanic white and Latinx individuals highlight substantial differences: higher PM2.5 levels have stronger positive associations with the IRR of hospitalization for Latinx individuals, and density and overcrowding show stronger associations for non-Hispanic white individuals. Our results show that the neighborhood built environment might pose an independent risk for COVID-19 hospitalization. Our results may inform public health and urban planning initiatives to lower the risk of hospitalization linked to COVID-19 and other respiratory pathogens.

Indexed as

COVID-19Built EnvironmentHospitalizationHumansParticulate MatterSARS-CoV-2Particulate Matter

Identifiers

PMID37314984
PMCPMC10266617

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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.