17/06/2026
The Research and Innovation Center at Amoud University congratulates Mohamed Mohamoud Abdilleh and his co-authors on the publication of their recent research paper. Their study, titled "Using machine learning models to study the magnitude and associated factors of road traffic accidents among bus drivers in Marodijeh Region, Somaliland," has been published in the journal Discover Sustainability.
This research addresses a critical public health and infrastructure challenge: the high burden of road traffic accidents (RTAs). By utilizing both classical statistical methods and machine learning algorithms, the study provides a structured, data-driven analysis of accident risks in the Marodijeh region, offering practical insights for regional safety planning.
Mohamed’s consistent contributions and the quality of his work reflect a clear path of determination and steady growth in advanced research methodologies. His dedication to refining his research skills sets a positive example within our academic community. Furthermore, contributions of this nature help place Somaliland’s regional challenges and academic output on the global stage. By publishing in internationally recognized, peer-reviewed journals, our scholars demonstrate the capacity to address local issues with scientific rigor. Amoud University is pleased to support this development and takes pride in fostering a capable cohort of researchers dedicated to regional and global progress.
Study Highlights:
1. Analytical Approach: The study compared a multivariable binary logistic regression model with five machine learning algorithms. Among these, the Random Forest model achieved the highest predictive performance, with an accuracy of 76.55%.
2. Identification of Key Risk Factors: The research identified several significant contributors to accident occurrence, including mobile phone usage while driving, lack of vehicle fitness certification, vehicle service history, and khat chewing.
3. Policy-Oriented Recommendations: To support progress toward Sustainable Development Goal 3.6 (reducing traffic-related injuries), the authors recommend targeted safety interventions, including stricter enforcement of driving regulations and mandatory, regular vehicle inspections.
We appreciate the dedication of Mohamed and his co-authors to their collaborative work, which contributes to the advancement of research at Amoud University and provides useful evidence for public safety policy.
Read the full study here: https://doi.org/10.1007/s43621-026-03686-9
Amoud University Research and Innovation Center — [Advancing Knowledge, Transforming Lives].
