PDFAbstract: Road traffic injuries and deaths are a major global public health problem. A time series model of these phenomena could help decision makers to identify at-risk populations, and predict the likelihood of future events. Therefore, this study aims to predict the mortality caused by road traffic injury in Cameroon from 2000 to 2021using a seasonal autoregressive integrated moving average (SARIMA) model. The database was created by triangulating the country's road safety profile from the World Bank Group's website with local data. Using the Augmented Dickey-Fuller test, the series after differencing and log transformation was found to be stationary (p
Keywords: Augmented Dickey-Fuller test, Autocorrelation functions, Box-Ljung test, Road traffic injury, Mortality, SARIMA
Cite this paper
Awa Terence Achiri, Azeh Gerald, Innocent Ndoh Mbue. (2022) Prediction of the Mortality Caused by Road Traffic Injury in Cameroon. International Journal of Transportation Systems, 7 , 46-57
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