Joel Kironde, Chris Bic Byaruhanga, Paul Isolo Mukwaya, Meleckidzedeck Khayesi, Byakagaba Patrick, Walid Abdullah Al Bargi, Gladys Nyachieo, Sugira Jean Claude
{"title":"Is safety for non-motorized transport users truly a policy priority in Sub-Saharan Africa?","authors":"Joel Kironde, Chris Bic Byaruhanga, Paul Isolo Mukwaya, Meleckidzedeck Khayesi, Byakagaba Patrick, Walid Abdullah Al Bargi, Gladys Nyachieo, Sugira Jean Claude","doi":"10.1080/17457300.2026.2720852","DOIUrl":"https://doi.org/10.1080/17457300.2026.2720852","url":null,"abstract":"<p><p>Non-motorized transport (NMT), particularly walking and cycling, constitutes a significant share of daily mobility in Sub-Saharan Africa (SSA), yet pedestrians and cyclists remain disproportionately affected by road traffic fatalities and injuries. This review examines whether NMT safety is substantively prioritized within transport policy regimes in SSA. It investigates how safety is framed in policy discourse, the extent to which commitments are institutionally and financially embedded, and whether implementation reflects genuine prioritization or symbolic inclusion. A systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach analyzed peer-reviewed studies, policy documents, and institutional reports published between 2000 and 2026. Findings indicate that while policy frameworks increasingly acknowledge vulnerable road users, implementation remains constrained by motorization-oriented planning, limited funding, and fragmented institutional responsibilities. NMT infrastructure is often treated as a secondary component of road projects, with funding frequently dependent on external support. Consequently, a persistent gap exists between policy rhetoric and safety outcomes, with continued high pedestrian and cyclist fatalities and injuries. The review concludes that NMT safety in SSA is not fully embedded in regulatory, institutional, and fiscal systems, highlighting the need for stronger coordination, inclusive design standards, and sustained funding.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-15"},"PeriodicalIF":2.7,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Abdullah, Sherif Shokry, Thaar Alqahtani, Hassan Al-Ahmadi
{"title":"Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions.","authors":"Muhammad Abdullah, Sherif Shokry, Thaar Alqahtani, Hassan Al-Ahmadi","doi":"10.1080/17457300.2026.2720848","DOIUrl":"https://doi.org/10.1080/17457300.2026.2720848","url":null,"abstract":"<p><p>Visibility conditions play a critical role in road traffic crash outcomes, yet limited research has examined how combinations of ambient lighting and street lighting are jointly associated with injury severity. This study examines the association between visibility conditions and traffic crash injury severity using a database of 17,840 person-level records of casualties in Bahrain. In addition to demographic, road, environmental and crash-related factors, five visibility categories combining ambient and street lighting conditions were explored. Five machine learning models were developed using nested cross-validation with Bayesian hyperparameter tuning (Optuna). CatBoost ranked highest with modest discriminative ability (ROC-AUC = 0.691 ± 0.007), though the gradient-boosting models performed comparably. SHapley Additive exPlanations (SHAP) analysis identified Year, Gender, Person Involved, and the temporal Month and Day components as the most influential predictors, followed by Nationality and Cause Type. Among visibility categories, Night-Street Light Lit exhibited the strongest associations and interactions, most notably a weaker association with severity for female casualties, alongside weaker seasonal and passenger-related associations. The unlit condition displayed minimal interactions. These results point to a dominant additive role of visibility conditions alongside selective context-dependent associations for certain road-user and seasonal subgroups, supporting targeted road safety interventions that incorporate lighting factors.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-25"},"PeriodicalIF":2.7,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing farm machinery safety: a review of injury risks, mitigation strategies, and technological innovations.","authors":"Ehsan Houshyar, Nasim Monjezi, In-Ju Kim","doi":"10.1080/17457300.2026.2720847","DOIUrl":"https://doi.org/10.1080/17457300.2026.2720847","url":null,"abstract":"<p><p>Farm machinery significantly enhances agricultural productivity but remains a leading source of occupational injuries, particularly in resource-limited settings. This comprehensive review synthesises the primary human-, equipment-, environmental-, and weather-related causes of such injuries and critically evaluates mitigation strategies, incorporating new evidence on the interplay between machinery reliability and operator safety. A systematic review integrated literature published 2000-2025 across multiple databases. Intervention effectiveness was appraised using a multi-step methodology combining GRADE-based quality assessment, statistical inter-rater agreement (Cohen's κ = 0.84), and internal reliability testing (Cronbach's α = 0.83). The findings reveal that human factors, including inadequate training, fatigue, and cognitive decline, are the most prevalent risk contributors, followed by equipment-related issues such as outdated machinery and poor maintenance, and context-specific environmental and weather hazards. High-impact interventions include mandatory operator training, preventive and predictive maintenance protocols, retrofitting safety-critical components, and deploying sensor-based hazard detection. The newly integrated reliability framework highlights four mutually reinforcing pillars-design, maintenance, operations, and management systems-that demonstrate how engineering reliability directly reduces hazardous failures and improves safety metrics. This evidence-driven synthesis underscores the need to combine human factors interventions, ergonomic design, environmental adaptations, weather preparedness, and engineering reliability improvements to achieve the strongest safety outcomes, especially when supported by policy enforcement and training systems.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-19"},"PeriodicalIF":2.7,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francis Xavier Naab, Isaac Dery, Thomas Moore Zielley, Wolfram Laube
{"title":"'Dying to be men': young rural men, masculinities, and road crashes in Nandom, Ghana.","authors":"Francis Xavier Naab, Isaac Dery, Thomas Moore Zielley, Wolfram Laube","doi":"10.1080/17457300.2026.2707108","DOIUrl":"https://doi.org/10.1080/17457300.2026.2707108","url":null,"abstract":"<p><p>As motorcycles increasingly serve as a primary mode of transport in Ghana, their association with injuries and crashes (RTCs) has attracted growing scholarly and policy scrutiny. While RTCs predominantly involve men, existing research has largely focused on infrastructural and behavioural factors in urban contexts, with limited attention to the sociocultural masculinities that shape crash risks and outcomes. Using the metaphor 'dying to be men,' this study examined how masculine ideals-such as bravery, toughness and the fear of being perceived as not 'man enough'-shape riding practices and contribute to RTCs in Nandom. Employing a sequential exploratory mixed-methods design, the study integrates ethnographic interviews and survey data to explore the gendered production of road risk. Findings indicate that expectations of male bravery, physical endurance, and economic competence foster risky riding practices. Survey results show that 68% of respondents associate (young) male involvement in RTCs with pressures linked to masculine performance. Gendered norms around property ownership further reduce female exposure to motorcycle mobility and associated risks. In addition, the feminisation of caution and the social stigmatisation of safety practices further incentivise risk-taking among young men seeking to maintain masculine status. Overall, the study demonstrates that road safety is shaped not only by individual behaviour and infrastructure but also by deeply embedded gender norms. This underscores the need for gender-sensitive, culturally grounded interventions that address the social and normative drivers of RTCs in patriarchal contexts such as Nandom.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-17"},"PeriodicalIF":2.7,"publicationDate":"2026-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148594047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emmanuel Kofi Adanu, Richard Dzinyela, Robert Otumuna Ambunda, Dustin Wood, Steven Jones
{"title":"Factors influencing duration between non-fatal and fatal crashes among high-risk drivers.","authors":"Emmanuel Kofi Adanu, Richard Dzinyela, Robert Otumuna Ambunda, Dustin Wood, Steven Jones","doi":"10.1080/17457300.2026.2696354","DOIUrl":"https://doi.org/10.1080/17457300.2026.2696354","url":null,"abstract":"<p><p>A small fraction of drivers accounts for a disproportionately large share of the world's most serious road crashes, yet remarkably little is known about how quickly these high-risk individuals progress from one crash to the next. This temporal blind spot limits the ability of policymakers and enforcement agencies to intervene at the moments when drivers are most vulnerable. To address this gap, this study investigates the determinants of the time interval between a prior non-fatal crash and a subsequent fatal crash among crash-prone drivers in the United States. Using 5 years of Fatality Analysis Reporting System (FARS) data (2015- 2019), a sample of 36,144 fatal crash-involved drivers with recorded prior non-fatal crashes was analysed through a random-parameter hazard-based duration model. The findings demonstrate that fatal crash recurrence is not random but reflects distinct behavioural and demographic risk signatures. Male drivers, young drivers (16-24 years), Hispanic drivers and individuals with extensive violation histories exhibited significantly shorter intervals between non-fatal and fatal incidents. Prior speeding violations, license suspensions, other non-driving under the influence (DUI) infractions and involvement in multiple previous crashes sharply accelerated the progression to a fatal crash. Characteristics of the fatal crash itself, including drug impairment, speeding, invalid licensing and single-vehicle involvement, were also associated with compressed temporal intervals. The incorporation of random parameters reveals further heterogeneity, particularly in the influence of prior speeding violations. By and large, the temporal structure of crash recurrence observed in the study aligns with the long-standing theory of crash proneness.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-10"},"PeriodicalIF":2.7,"publicationDate":"2026-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148387881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Post-pandemic social concentration of homicide victims in Peru: shifts in victim composition across social groups.","authors":"Yordanis Enriquez Canto","doi":"10.1080/17457300.2026.2698668","DOIUrl":"https://doi.org/10.1080/17457300.2026.2698668","url":null,"abstract":"<p><p>Homicide is a major form of violent injury in Latin America, yet post-pandemic increases may reflect not only changes in overall levels of lethal violence but also changes in how victimization is socially distributed. This repeated cross-sectional study examined homicide deaths in Peru from 2017 to 2025 across pre-pandemic, pandemic, and post-pandemic periods. Victims were characterized by sex, age, education, marital status, and ethnicity, and concentration was assessed within each dimension and across intersecting victim profiles. The post-pandemic period showed a measurable narrowing in the social composition of homicide victims. Deaths became increasingly concentrated among men, adults aged 30-59 years, and single individuals, with more modest concentration among those with secondary education and those classified as Mestizo. These findings suggest that post-pandemic homicide dynamics may involve changes in concentration as well as magnitude, with implications for surveillance, prevention targeting, and understanding violent injury in low- and middle-income settings.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-12"},"PeriodicalIF":2.7,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148382971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed Usman Ali, Sufia Khatun, Sayma, Hong Pan, Umar Muhammad Bello, Dauda Salihu, Abubakar Shehu, Surajo Kamilu Sulaiman, S M Mahmudul Hasan, Abu Jor, Mohammad Jobair Khan
{"title":"Burden of falls in Middle East and North Africa, 1990-2021: a systematic analysis of Global Burden of Disease Study 2021.","authors":"Mohammed Usman Ali, Sufia Khatun, Sayma, Hong Pan, Umar Muhammad Bello, Dauda Salihu, Abubakar Shehu, Surajo Kamilu Sulaiman, S M Mahmudul Hasan, Abu Jor, Mohammad Jobair Khan","doi":"10.1080/17457300.2026.2692618","DOIUrl":"10.1080/17457300.2026.2692618","url":null,"abstract":"<p><p>Falls are a major global public health issue, but detailed evaluations of their burden in the Middle East and North Africa (MENA) region are limited. This study assesses the incidence, prevalence, mortality and disability-adjusted life years (DALYs) due to falls in MENA region from 1990 to 2021. We utilized data from the Global Burden of Disease (GBD) Study 2021, analyzing estimates for 21 MENA countries. We examined all-age and age-standardized rates per 100,000 population by sex, age group, country and year. In 2021, MENA reported 14.29 million (95% UI 12.71, 16.19) incident fall cases, with an age-standardized incidence rate of 2281.67 (2042.45, 2564.66) per 100,000. Prevalence was 30.32 million (25.69, 35.03) cases, at an age-standardized rate of 5234.03 (4476.03, 6011.50) per 100,000. Falls led to 23404 (20142, 27599) deaths, with an age-standardized mortality rate of 5.66 (4.85, 6.73) per 100,000, and 2.17 million (1.78, 2.69) DALYs. Burden was higher among males and adults over 80 years. Saudi Arabia had the highest incidence and prevalence, and Afghanistan had highest mortality. Falls represent a growing public health threat in MENA, intensified by ageing populations. Improved surveillance, targeted prevention for at-risk groups and embedding strategies in primary care and national health policies - are critical.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-13"},"PeriodicalIF":2.7,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of non-functioning traffic signals on pedestrian injury severity: evidence from a nationwide interpretable machine-learning study (Poland, 2015-2024).","authors":"Artur Budzyński","doi":"10.1080/17457300.2026.2693917","DOIUrl":"https://doi.org/10.1080/17457300.2026.2693917","url":null,"abstract":"<p><p>Pedestrians face disproportionate injury risk in traffic. Using nationwide SEWIK police records (2015-2024), I model five-level pedestrian injury severity with proportional-odds logistic regression, Random Forest and XGBoost under time-blocked, incident-aware cross-validation, and I interpret Random Forest predictions with SHAP while simulating repaired traffic signals. Random Forest attains the strongest ordinal agreement (quadratic weighted kappa 0.241 ± 0.042 across eight outer folds; bootstrap 95% CI 0.212-0.264), clearly outperforming naive baselines (majority-class and ordinal-median QWK ≈ 0), whereas XGBoost peaks on accuracy (0.556) and F1-weighted (0.496). SHAP highlights age, lighting, precise location in the road space and posted speed limit as dominant severity drivers; age ranked first and daylight second in seven of eight outer folds. Counterfactual signal restoration on <i>n</i> = 1,212 records with a non-functioning signal shifts predicted mass towards milder outcomes, most visibly 74 transitions from seriously to slightly injured (bootstrap 95% CI 59-92) and 31 from died within 30 days to seriously injured (CI 21-42). Predictive performance remains modest (macro ECE 0.115); estimates are prognostic and Poland-specific, and counterfactuals are associative rather than causal, but the workflow illustrates how registry analytics can inform maintenance prioritization for life-saving infrastructure.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-20"},"PeriodicalIF":2.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148370481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zijun Chen, Guopeng Zhang, Shuwu Wei, Lin Li, Jizhong Shi
{"title":"Exploring the causal effects of hazardous driving behaviors on pedestrian-vehicle crash injury severity based on causal machine learning.","authors":"Zijun Chen, Guopeng Zhang, Shuwu Wei, Lin Li, Jizhong Shi","doi":"10.1080/17457300.2026.2690604","DOIUrl":"https://doi.org/10.1080/17457300.2026.2690604","url":null,"abstract":"<p><p>Pedestrians usually sustain more severe injuries in traffic crashes due to the lack of protection. Although previous studies have analyzed crash-influencing factors, the causal relationships between injury severity and factors remain limited. Thus, the study aims to investigate the causal effects of factors, particularly the hazardous driving behaviors, on pedestrian injury severity. It employs causal machine learning and the Shapley Additive exPlanations to analyze the marginal contribution of the feature variables on crash injury severity. Furthermore, the causal tree model is used to reveal the heterogeneous causal effects. The results indicate that 1) the pedestrian injury severity is influenced by various factors, such as pedestrian age, speed limit, and vehicle type, 2) hazardous driving behaviors can deteriorate pedestrian injury severity, with 'failing to yield right of way' showing the highest mean conditional average treatment effect (CATE) (0.768), followed by 'careless driving' (0.626) and 'violating traffic signs or signals' (0.590), and 3) hazardous driving behaviors, road speed limits, and pedestrian age jointly contribute to the pedestrian injury severity. The study reveals heterogeneity in the causal relationship between hazardous driving behaviors and the injury severity of pedestrian-vehicle crashes, which serves to develop differential intervention strategies to mitigate pedestrian injury.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-17"},"PeriodicalIF":2.7,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148333567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated regression and RII-based evaluation of rural road safety: a case study of Sinnar Taluka, Nashik district.","authors":"Deelip B Kalekar, Prashant Sudani","doi":"10.1080/17457300.2026.2663854","DOIUrl":"10.1080/17457300.2026.2663854","url":null,"abstract":"<p><p>Rural road safety remains a critical yet underexplored challenge in India's transportation system, where connectivity improvements under the Pradhan Mantri Gram Sadak Yojana (PMGSY) have been accompanied by increasing accident risks. Despite large-scale infrastructure development, the absence of structured, data-driven safety evaluation frameworks limits effective prioritization of high-risk segments. This study integrates regression analysis with a Relative Importance Index (RII) based multi-criteria framework to assess and prioritize safety risks on PMGSY rural roads in Sinnar Taluka, Nashik District. Accident data from 110 reported cases, field surveys and Indian Roads Congress (IRC) standards were used to evaluate critical parameters including sight distance, shoulder width, sharp curves, roadside environment, pavement condition and residential access. Regression analysis identified sight distance, blind turns and residential access density as the most influential predictors of accidents, while RII-based ranking reflected expert perceptions of safety severity. To address recent methodological advancements, a baseline artificial neural network (ANN) model was additionally employed as a comparative benchmark to examine consistency in segment prioritization. The integrated regression-RII approach enables a comprehensive, data and perception-driven assessment of rural road safety. Findings support targeted interventions, such as geometric realignment, roadside protection and access control, providing a replicable framework for policymakers and planners to enhance safety performance and promote sustainable rural mobility.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-11"},"PeriodicalIF":2.7,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148333652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}