Forecasting TB Incidence in Oman Using the Multilayer Pecerptron Neural Network

In this research work, the ANN approach was applied to analyze TB incidence in Oman. The employed annual data covers the period 2000-2018 and the out-of-sample period ranges over the period 2019-2023. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting TB incidence in Oman. The results of the study indicate that TB incidence will remain low around 5.5 cases per 100 000 population/year over the period 2019-2023. The government is encouraged to continue on this commendable path by strengthening TB/HIV collaboration.