Evidence map›Paper›PMID 42903239›Full record

ArticleFrontiers in public health2026

From crash evidence to injury prevention: factors associated with injury severity in heavy vehicle crashes involving vulnerable road users in Pakistan.

Amjad Pervez, Muhammad Junaid, Md Kamrul Islam, M M Hafizur Rahman

Abstract read
In one paragraph

Article in Frontiers in 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

4 authors.

Amjad PervezInstitute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China.
Muhammad JunaidSchool of Transportation and Logistics, Southwest Jiaotong University (SWJTU), Chengdu, China.
Md Kamrul IslamDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al Ahsa, Saudi Arabia.
M M Hafizur RahmanDepartment of Computer Networks and Communications, College of Computer Sciences and Information Technology (CCSIT), King Faisal University, Al Ahsa, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crashes involving heavy vehicles and vulnerable road users (VRUs) represent a serious public health challenge in low- and middle-income countries, where road traffic injuries contribute substantially to injury-related morbidity and mortality. However, the existing literature remains limited, as most studies focus on single VRU groups and are concentrated in high-income settings. As a result, little is known about injury severity in mixed-traffic environments such as Pakistan, where pedestrians, motorcyclists, and motorized rickshaw users interact with heavy vehicles under substantially different roadway and traffic conditions. To address this gap, this study investigates the factors associated with injury severity in crashes involving heavy vehicles and VRUs in Pakistan using 1,007 anonymized emergency-service crash records collected by Rescue 1122. A random parameters binary probit model with heterogeneity in means and variances was estimated to account for unobserved heterogeneity and variation in the effects of explanatory variables across crashes. The analysis indicates that male VRUs are less likely to sustain severe injuries, whereas VRUs aged 25 years or younger face a significantly higher probability of severe injury. Crashes occurring during weekends, at night, and under rainy conditions are associated with a higher probability of severe injury. Pedestrian and motorcyclist involvement, as well as distraction, are also associated with a substantially higher probability of severe injury in crashes involving heavy vehicles. In addition, primary roads, two- and three-lane roads, vertical curves, sidewalks, and access points are all associated with a higher probability of severe injury. The random parameter estimates further indicate that the effects of nighttime and distraction exhibit significant heterogeneity across crashes, with nighttime having a stronger effect in pedestrian-related crashes, at access points, and under rainy conditions. The results suggest the need for targeted interventions focusing on the protection of pedestrians and motorcyclists, younger road users, high-risk roadway environments, and context-sensitive enforcement and engineering measures on corridors with frequent heavy vehicle movement. These findings provide evidence to support injury prevention strategies, inform public health and transportation policies, and contribute to achieving safer and more equitable mobility systems in Pakistan and other low- and middle-income countries facing similar road safety challenges.

Indexed as

Accidents, TrafficMotor VehiclesVulnerable PopulationsWounds and InjuriesAdolescentAdultFemaleHumansMaleMiddle AgedMotorcyclesPakistanPedestriansRisk FactorsYoung Adultheavy vehiclesinjury preventioninjury severityroad traffic injuriesunobserved heterogeneityvulnerable road users

Identifiers

PMID42903239
PMCPMC13680250

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.