Evidence map›Paper›PMID 41137156›Full record

ArticleInjury epidemiology2025

Vehicle traffic as a determinant of community firearm violence.

Emma L Gause, Suzanne McLone, Christina Dalton, Christopher Morrison, Jonathan Jay

Abstract read
In one paragraph

Article in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Emma L GauseCenter for Climate and Health, Boston University School of Public Health, 715 Albany Street, Boston, MA, 02118, USA. egause@bu.edu.
Suzanne McLoneDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Christina DaltonDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Christopher MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Jonathan JayDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Boston University Clinical & Translational Science Institute 1UL1TR001430NCATS NIH HHS UL1 TR001430
6 · The paper itself

Abstract

backgroundUrban design sets the conditions under which individuals encounter one another. It is modifiable and can be an important intervention point for firearm assault prevention. Higher vehicle traffic, a previously under-studied exposure in firearm injury research, may contribute to firearm violence by fostering spaces that create interpersonal encounters while hindering positive social processes. We aimed to examine the association between vehicle traffic and firearm injury risk within the city of Portland, OR.

methodsIn response to local community concerns, we investigated the relationship between vehicle traffic volume and firearm assault risk in Portland, OR using novel traffic estimates from Streetlight, Inc, and firearm injuries from Portland Police, 2019-2021. We examined this association using (1) cross-sectional logistic regression with clustered standard errors and time strata covariates, and (2) an ecological case-crossover with conditional logistic regression comparing injury months to matched control periods at the same location in both the previous and subsequent months at the same type and time of day. Analyses were repeated at tracts and street segments in a high-risk neighborhood.

resultsPortland experienced 585 firearm assault injuries from 2019 to 2021. Tract-level average daily traffic volumes ranged from 9,584 to 230,804 trips. Tracts with 10,000 higher vehicle trips were associated with 27% increased risk (RR: 1.27, 95% CI: 1.12-1.45) of firearm assault, controlling for time variables and clustering standard errors at the census tract. In the case-crossover analysis a one standard deviation increase in traffic was associated with 59% (OR: 1.59, 95% CI: 1.17-2.17) and 85% (OR: 1.59, 95% CI: 1.35-2.55) higher odds of firearm assault at the same type and time of day in the prior month and subsequent month respectively. Street-segment analyses were in the hypothesized direction but not statistically significant.

conclusionsInnovative strategies to curb firearm violence are necessary today more than ever. Future research should investigate whether traffic control could be a new avenue for community firearm violence prevention.

Indexed as

Assault injuryFirearm violenceSafe citiesUrban planningVehicle traffic

Identifiers

PMID41137156
PMCPMC12553157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.