Evidence map›Paper›PMID 40514222›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

Motor vehicle crash death rates among passenger vehicle occupants and pedestrians by county-level social vulnerability and urbanicity: the USA, 2019.

Vaughn Barry, Sarah Abigail Matthews, Laurie Beck, Sarah Rockhill, Kelly Fletcher, Bethany A West, Michael Ballesteros

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Vaughn BarryNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA fvd5@cdc.gov.ORCID http://orcid.org/0000-0002-8711-8268
Sarah Abigail MatthewsNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-0184-3539
Laurie BeckNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sarah RockhillGeospatial Research, Analysis, and Services Program, Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA.
Kelly FletcherGeospatial Research, Analysis, and Services Program, Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA.
Bethany A WestNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Michael BallesterosNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0002-5172-7045

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundCommunities experiencing more social vulnerability are disproportionately harmed by environmental disasters, disease, and injury. This cross-sectional study examined whether US county-level vulnerability scores were associated with 2019 passenger vehicle occupant or pedestrian death rates.

methodsCounty-level vulnerability was measured by 2020 Centers for Disease Control and Prevention Social Vulnerability Index scores. Scores were based on 16 community-level characteristics categorised into 4 themes: socioeconomic status; household characteristics; race and ethnicity and housing type and transportation. Counties were divided into quartiles from least to most vulnerable, based on the score distribution among all counties. Deaths were identified from the 2019 Fatality Analysis Reporting System. Death rates per 100 000 population were stratified by vulnerability quartile and urbanicity. Large central metropolitan county results used the second least vulnerability quartile as reference.

resultsAmong 328 320 065 people across 3140 counties, there were 22 942 occupant and 6272 pedestrian deaths. Occupant death rates were higher in most vulnerable counties compared with least for all urbanicity levels (large central metropolitan: 4.0 vs 2.8; large fringe metropolitan: 7.4 vs 5.2; medium/small metropolitan: 8.9 vs 7.0; non-metropolitan: 18.5 vs 12.2) with disparities prominent in counties experiencing more socioeconomic and household vulnerability. Pedestrian death rates were highest in most vulnerable counties compared with least (large central metropolitan: 2.5 vs 1.4; large fringe metropolitan: 3.3 vs 1.0; medium/small metropolitan: 2.8 vs 0.8; non-metropolitan: 2.4 vs 0.9) with disparities prominent for all four vulnerability types.

conclusionsTailoring prevention strategies to communities experiencing infrastructure inadequacies, improving safe transportation options and reducing poverty may help reduce crash death disparities.

Indexed as

Motor vehicle - OccupantPedestrianPublic HealthRuralSafe CommunityUrban

Identifiers

PMID40514222
PMCPMC13082351

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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.