Evidence map›Paper›PMID 40880348›Full record

ArticlePloS one2025

Spatial distribution and cluster analysis of road traffic accidents in Nepal.

Roshan Kumar Mahato, Kyaw Min Htike, Alok Kafle, Vishal Gewali, Anup Kafle, Vijay Sharma

Abstract read
In one paragraph

Article in PloS one, 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

6 authors.

Roshan Kumar MahatoFaculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.
Kyaw Min HtikeFaculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID 0009-0004-7427-1425
Alok KafleTropical Medicine, Faculty of Medicine, Khon Kaen University, Thailand.ORCID 0000-0002-0048-5699
Vishal GewaliKathmandu Valley Traffic Police Office, Kathmandu, Nepal.
Anup KafleArlington County Government, Arlington, Virginia, United States of America.
Vijay SharmaNepal Public Health and Research Consultancy, Kathmandu Nepal.ORCID 0009-0000-8601-1760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic accidents (RTAs) continue to pose a significant menace to global public health in the form of a high incidence of mortality, disability and economic expense. Their space-time trends are of importance for policy decision-making. This particular study employed spatial analysis to identify high-risk zones and found significant clustering of accidents in urban centers as well as increasing semi-urban and rural vulnerabilities, supporting the need for safety interventions and road infrastructure improvements in Nepal. This paper aims to determine and analyze the incidence of RTAs in Nepal from 2019 to 2022, primarily focusing on vehicle-types and spatial distribution.

methodsData from all seven provinces and Kathmandu Valley Traffic Police Office were analyzed to examine RTAs patterns across 77 districts of Nepal. The data were processed and visualized using Quantum GIS (QGIS), and spatial analysis performed using Global and Local Moran's I statistics, along with Local Indicators of Spatial Association (LISA), to identify spatial clusters of accidents.

resultsThis study identified statistically significant spatial clustering of vehicle types involved in RTAs. High-High (HH) clusters, indicating areas with elevated accident rates surrounded by similarly high-risk zones were concentrated in urban centers particularly Kathmandu, Lalitpur, and Bhaktapur. Conversely, Low-Low (LL) clusters, reflecting lower accident rates in sparsely populated regions, were observed in rural areas. Temporal analysis revealed a steady rise in RTAs incidence, with rates increasing from 63.35 per 100,000 population in 2019-2020 (Moran's I = 0.741) to 94.46 in 2020-2021 (Moran's I = 0.595) and 123.05 in 2021-2022 (Moran's I = 0.556).

conclusionThis present study observed the growing incidence of RTAs in Nepal. The results highlight the critical need for geographically tailored road safety interventions with priority given to urban and semi-urban zones. Effective strategies should emphasize enhanced road traffic law enforcement, strict regulation of commercial and two-wheeled vehicles as well as targeted infrastructure upgrades in an effective manner.

Indexed as

Accidents, TrafficCluster AnalysisHumansIncidenceNepalPublic HealthRural PopulationSpatial AnalysisUrban Population

Identifiers

PMID40880348
PMCPMC12396657

What OpenQuestion holds

Textmetadata
LicenceCC0
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.