Spatial and spatio-temporal patterns of road traffic accident mortality in Bangladesh, 2022-2024: A district-level geospatial analysis.

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Journal of Public Health Research Pub Date : 2026-05-22 eCollection Date: 2026-04-01 DOI:10.1177/22799036261455688
Pratyay Hasan, Tazdin Delwar Khan, Ishteaque Alam, Mohammad Emdadul Haque, Minhajul Abedin
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引用次数: 0

Abstract

Objective: Road traffic accidents (RTAs) are a leading cause of injury deaths in Bangladesh, but local geographic patterns remain poorly understood. This study aimed to identify high- and low-risk districts for RTA mortality and track changes from 2022 to 2024 to inform targeted interventions.

Methods: In this district-level ecological study, we analyzed DGHS official RTA mortality data across all 64 districts. Population-adjusted rates were computed; Moran's I and Getis-Ord Gi* assessed spatial autocorrelation for hotspots/coldspots; SaTScan detected space-time clusters.

Results: Raw counts were randomly distributed, but adjusted rates showed significant dispersion (Moran's I = -0.143, p=0.006 in 2023), with high-risk districts bordering low-risk ones. Persistent northwestern spatial hotspots included Naogaon, Natore, and Bogra. Spatio-temporal analysis identified high-rate clusters in 2024 for Dhaka (RR 6.14, p=0.001) and Rajshahi (RR 10.07, p=0.001), alongside stable low-mortality clusters in northern (RR 0.07) and southern (RR 0.19) regions. Methodological limitations include the use of uniform population projection rates and the ecological design, which precludes causal inference.

Conclusion: RTA mortality reflects distinct local epidemics, not a uniform crisis. Geographic disparities support a precision public health approach, with prioritization of high-risk corridors and urban zones for targeted interventions, alongside investigation of protective factors in low-risk clusters.

2022-2024年孟加拉国道路交通事故死亡率时空格局:地区级地理空间分析
目标:道路交通事故(rta)是孟加拉国伤害死亡的主要原因,但对当地的地理模式仍然知之甚少。本研究旨在确定RTA死亡率的高风险和低风险地区,并跟踪2022年至2024年的变化,为有针对性的干预措施提供信息。方法:在这个地区级的生态研究中,我们分析了DGHS官方RTA在所有64个地区的死亡率数据。计算经人口调整的比率;Moran's I和Getis-Ord Gi*评估了热点/冷点的空间自相关;SaTScan检测到时空集群。结果:原始计数随机分布,但调整率具有显著的离散性(2023年Moran’s I = -0.143, p=0.006),高风险区与低风险区相邻。西北持续的空间热点包括Naogaon、Natore和Bogra。时空分析表明,2024年达卡(RR 6.14, p=0.001)和拉杰沙希(RR 10.07, p=0.001)的死亡率较高,北部地区(RR 0.07)和南部地区(RR 0.19)的死亡率较低。方法上的限制包括使用统一的人口预测率和生态设计,这排除了因果推理。结论:RTA死亡率反映了不同的地方流行病,而不是统一的危机。地理差异支持一种精确的公共卫生方法,优先考虑高风险走廊和城市地区进行有针对性的干预措施,同时调查低风险聚集的保护因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Public Health Research
Journal of Public Health Research PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.70
自引率
4.30%
发文量
116
审稿时长
10 weeks
期刊介绍: The Journal of Public Health Research (JPHR) is an online Open Access, peer-reviewed journal in the field of public health science. The aim of the journal is to stimulate debate and dissemination of knowledge in the public health field in order to improve efficacy, effectiveness and efficiency of public health interventions to improve health outcomes of populations. This aim can only be achieved by adopting a global and multidisciplinary approach. The Journal of Public Health Research publishes contributions from both the “traditional'' disciplines of public health, including hygiene, epidemiology, health education, environmental health, occupational health, health policy, hospital management, health economics, law and ethics as well as from the area of new health care fields including social science, communication science, eHealth and mHealth philosophy, health technology assessment, genetics research implications, population-mental health, gender and disparity issues, global and migration-related themes. In support of this approach, JPHR strongly encourages the use of real multidisciplinary approaches and analyses in the manuscripts submitted to the journal. In addition to Original research, Systematic Review, Meta-analysis, Meta-synthesis and Perspectives and Debate articles, JPHR publishes newsworthy Brief Reports, Letters and Study Protocols related to public health and public health management activities.
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