Motorcyclists are among vulnerable road users and account for 28% of road traffic fatalities worldwide. In Benin, the problem is accentuated in large cities such as Cotonou and Parakou, where road transport is dominated by motorized two-wheelers. This paper aimed to study the epidemiological profile of RTAs involving motorized two-wheelers in Cotonou and Parakou (Benin), from 2016 to 2017. This was a retrospective study based on the database of the National Centre for Road Safety. This is a public institution in charge of implementing the road safety policy and road traffic accident surveillance at the national level. Logistic regression was applied to assess the associations between independent variables and the outcome variable. The level of statistical significance was set at p < 0.05. From 2016 to 2017, 1,628 road traffic accidents involving motorized two-wheelers were recorded in Cotonou and Parakou, of which 62 (3.81%) were fatal. RTAs recorded in Parakou (AOR = 2.52, 95% CI = 1.29-4.93), single-vehicle crashes (AOR = 7.73, 95% CI = 2.70-22.07), collisions between motorized two-wheelers and trucks (AOR = 12.42, 95% CI = 6.16-25.04), collisions between motorized two-wheelers and pedestrians (AOR = 6.46, 95% CI = 2.70-15.47) and time slot from midnight to 6 a.m. (AOR = 3.88, 95% CI = 1.61-9.34) were significantly more deadly. Measures targeting motorcyclists should be undertaken such as the implementation of an integrated model of communication strategies.
Introduction: Road accidents are one of the leading causes of morbidity and mortality in the world. To reduce their scale, some approaches have been favored, such as communication actions. This work aimed to propose an integrated model for the effective reduction of road accidents among motorized two-wheeled vehicle drivers (2WD) in urban areas in Benin. Method: This is a cross-sectional and analytical study of road users (n=1497) in Cotonou and Parakou. The data was collected on a mobile phone using CSPro software and analyzed in three stages: descriptive analysis, multivariate analysis for the selection of variables significantly affecting the variable to be explained, and the development of the integrated model using the Multilayer Perceptron Neural Network. Results: The study showed that communication actions, advocacy, contextual interventions, belief, certain individual characteristics of users, were significantly associated with the reduction of road accidents. The communication model that emerges from this is akin to "persuasive engaging" communication. Conclusion:This study demonstrated the importance of using an integrated national communication program to strengthen road safety. To do so, they need to promote respect for the Highway Code by emphasizing the sanctity of human life must be combined with relevant accompanying measures.
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