718 The impact of temperature and rainfall on road traffic fatalities in the Greater Kumasi metropolitan area of Ghana

<h3>Background</h3> Road traffic fatalities are a major global health burden, with climate factors such as temperature and rainfall potentially influencing crash risks. However, the impact of these factors on road traffic fatalities in specific regions, such as the Greater Kumasi Metropolitan Area (GKMA) in Ghana, remains unstudied. <h3>Objective</h3> This study aimed to investigate the influence of temperature and rainfall on road traffic fatalities in the GKMA from 2010 to 2021 using a Bayesian spatiotemporal modeling approach. <h3>Methods</h3> Road traffic fatality data from 2010 to 2021 and climate data, including monthly temperature and rainfall were utilized. A Bayesian spatiotemporal Poisson regression model was employed to quantify the associations between climate factors and road traffic fatalities, accounting for spatial and temporal dependencies. The model incorporated both spatial and temporal random effects, and the Besag-York-Mollié (BYM) spatial model was used to separate the spatial effect from other unobserved random effects. <h3>Results</h3> A total of 966 road traffic fatalities were recorded in the GKMA from 2010 to 2021, with a median of 1 fatality per month. Spatial and temporal trends revealed relatively constant fatality rates, with higher incidences from April to August and in December. The Bayesian spatiotemporal model indicated that a 1°C decrease in monthly average temperature was associated with a 14.2% increase in fatality incidence (95% CI: -0.198, -0.085), while each additional millimeter of average monthly rainfall was associated with a 1.5% decrease in fatalities (95% CI: -0.035, 0.006). Model-based relative risk predictions showed stable fatality rates in most districts until 2018, with Kwadaso and Suame experiencing significant increases from 2019. Higher relative risks were observed in Suame and Kwadaso during both dry and rainy seasons, while Kumasi had a lower relative risk during both seasons. <h3>Conclusion</h3> This study highlights the significant influence of temperatures on road traffic fatalities in the GKMA, with lower temperatures associated with increased fatality risks. The findings inform district specific resource allocation and road safety strategies in the GKMA

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Published
2024-08-30
DOI
https://doi.org/10.1136/injuryprev-2024-safety.358
Primary Topic
Traffic and Road Safety
Type
article
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article

718 The impact of temperature and rainfall on road traffic fatalities in the Greater Kumasi metropolitan area of Ghana

Daniel Boateng, Emmanuel Kweku Nakua, Jacob Idan
Traffic and Road Safety
article

718 The impact of temperature and rainfall on road traffic fatalities in the Greater Kumasi metropolitan area of Ghana

Daniel Boateng, Emmanuel Kweku Nakua, Jacob Idan
article en

Abstract

<h3>Background</h3> Road traffic fatalities are a major global health burden, with climate factors such as temperature and rainfall potentially influencing crash risks. However, the impact of these factors on road traffic fatalities in specific regions, such as the Greater Kumasi Metropolitan Area (GKMA) in Ghana, remains unstudied. <h3>Objective</h3> This study aimed to investigate the influence of temperature and rainfall on road traffic fatalities in the GKMA from 2010 to 2021 using a Bayesian spatiotemporal modeling approach. <h3>Methods</h3> Road traffic fatality data from 2010 to 2021 and climate data, including monthly temperature and rainfall were utilized. A Bayesian spatiotemporal Poisson regression model was employed to quantify the associations between climate factors and road traffic fatalities, accounting for spatial and temporal dependencies. The model incorporated both spatial and temporal random effects, and the Besag-York-Mollié (BYM) spatial model was used to separate the spatial effect from other unobserved random effects. <h3>Results</h3> A total of 966 road traffic fatalities were recorded in the GKMA from 2010 to 2021, with a median of 1 fatality per month. Spatial and temporal trends revealed relatively constant fatality rates, with higher incidences from April to August and in December. The Bayesian spatiotemporal model indicated that a 1°C decrease in monthly average temperature was associated with a 14.2% increase in fatality incidence (95% CI: -0.198, -0.085), while each additional millimeter of average monthly rainfall was associated with a 1.5% decrease in fatalities (95% CI: -0.035, 0.006). Model-based relative risk predictions showed stable fatality rates in most districts until 2018, with Kwadaso and Suame experiencing significant increases from 2019. Higher relative risks were observed in Suame and Kwadaso during both dry and rainy seasons, while Kumasi had a lower relative risk during both seasons. <h3>Conclusion</h3> This study highlights the significant influence of temperatures on road traffic fatalities in the GKMA, with lower temperatures associated with increased fatality risks. The findings inform district specific resource allocation and road safety strategies in the GKMA

University of Education, Winneba (GH), Kwame Nkrumah University of Science and Technology (GH)
Openalex Percentile: Top 84%
Traffic and Road Safety
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