Evidence map›Paper›PMID 41367070›Full record

ArticleJournal of research in health sciences2026

Patterns, Causes, and Mortality Trends of Road Traffic Accidents in Hamedan Province, Iran: A Spatiotemporal Epidemiological Analysis (2011-2024).

Ebrahim Jalili, Salman Khazaei, Mahdi Khazaei, Sanaz Omidi

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ebrahim JaliliDepartment of Emergency Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID 0000-0002-3269-7696
Salman KhazaeiDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID 0000-0001-5918-2310
Mahdi KhazaeiDepartment of Nursing and Midwifery, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID 0000-0003-1516-6575
Sanaz OmidiDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID 0009-0004-3508-9620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic accidents (RTAs) are a major cause of death, especially in developing countries. This study analyzed RTA patterns and trends in Hamadan province, Iran, from 2011 to 2024.

methodsData on 6,488 road traffic fatalities, excluding non-road transport deaths, were obtained from the Forensic Medicine Organization. Demographics, injury type, location, and mode of transport were analyzed. Then, spatial clustering was performed using the K-prototype algorithm, with cluster quality assessed via the Silhouette Score. Finally, mortality trends were forecasted using the Prophet model with 95% prediction intervals and evaluated using RMSE, MAE, MASE, and MAPE.

resultsThe mean age of victims was 49 ± 21 years, with most deaths observed in the 15-44 age group. Most victims were male (75%), urban residents (60%), married (69%), and had not completed secondary education (41%). Fatalities mainly occurred at the scene (48%) or en route to the hospital (43%), with head/face injuries and hemorrhage as the leading causes. Spatial analysis revealed three clusters, with Famenin having the highest mortality (73.7 per 100,000). Mortality was projected to decline from 18.27 (16.01, 20.55) in 2025 to 9.57 (7.37, 11.69) in 2028, rising slightly to 13.94 (11.83, 16.17) in 2029.

conclusionOverall, the findings emphasize the need for targeted regional interventions (e.g., road safety education, enhanced emergency services, and infrastructure upgrades) to reduce RTA mortality in the high-risk areas of Hamedan Province.

Indexed as

Accidents, TrafficWounds and InjuriesAdolescentAdultAgedCause of DeathChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantIranMaleMiddle AgedSpatio-Temporal AnalysisHamadan provinceK-prototype clusteringMortalityRoad traffic accidentsTime series forecasting

Identifiers

PMID41367070
PMCPMC12681062

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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.