Evidence map›Paper›PMID 42574499›Full record

ArticlePLOS global public health2026

Unequal risk: Longitudinal observation of socioeconomic disparities and pedestrian mortality patterns in Cali, Colombia.

Andrés Villaveces, Lani Fox, Daniel A Rodriguez, Shrikant I Bangdiwala, Delia Ortega, Marc Serre

Abstract read
In one paragraph

Article in PLOS global public health, 2026. 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

6 authors.

Andrés VillavecesDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Lani FoxDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-3737-6506
Daniel A RodriguezDepartment of City and Regional Planning and Institute of Transportation Studies, University of California Berkeley, Berkeley, California, United States of America.
Shrikant I BangdiwalaPopulation Health Research Institute, McMaster University, Hamilton, Ontario, Canada.
Delia OrtegaPontifical Javeriana University, Cali, Colombia.ORCID https://orcid.org/0000-0002-2217-3530
Marc SerreDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-3145-4024

Funding

Pedestrian Injuries and the Built Environment in Colombia.K01TW008194 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VILLAVECES, ANDRES · 2009 to 2011
$326k
FIC NIH HHS K01 TW008194
6 · The paper itself

Abstract

Household locations of pedestrian injuries and fatalities are disproportionately concentrated in lower socioeconomic neighborhoods, reflecting deep-rooted disparities in urban infrastructure, pedestrian exposure, and traffic safety. This study analyzes the relationship between socioeconomic levels and pedestrian incidents in Cali, Colombia, focusing on both the residential locations of injured individuals and the physical locations of fatalities. By separately examining injury residences and fatality locations, we begin to investigate how socioeconomic disparities influence both who is affected and where incidents occur. Residential injury data (2009-2010) and pedestrian fatality data (2008-2010) were analyzed using spatial mapping and Poisson regression modeling. Our preliminary findings reveal individuals injured in pedestrian incidents predominantly reside in lower socioeconomic neighborhoods, where inadequate infrastructure and increased exposure to traffic hazards are likely contributing factors. In contrast, fatal incidents tend to cluster in specific high-risk zones, particularly in middle-high socioeconomic neighborhoods characterized by dangerous road conditions and high vehicle speeds. Poisson regression identified socioeconomic levels and proximity to health centers were significant predictors of pedestrian fatalities, while road and population density showed weaker or nonsignificant associations. These findings provide an initial foundation for hypothesis generation and future research on urban safety disparities. They suggest socioeconomic context and access-related infrastructure together influence pedestrian risk, underscoring the need to integrate equity-focused and built-environment strategies into pedestrian safety planning and policy. By examining both socioeconomic context and physical risk, this study offers early, but critical insights for creating safer, more equitable urban environments.

Identifiers

PMID42574499
PMCPMC13456275

What OpenQuestion holds

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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.