Predicting the Future Evolution of TB in Malaysia: Arttificial Neural Networks Approach
Abstract
In this paper, the ANN approach was applied to analyze TB incidence in
Malaysia. 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 Malaysia. The model
suggests that the incidence will drop slightly over the period 2019-2023. In
order to contribute meaningfully to the national control strategy of a TB-free
Malaysia, the government should, among other things, intensify TB surveillance
and control programs.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Department of Economics, University of Zimbabwe, Harare, Zimbabwe
Michelle May D. Goroh., Christel
H.A. van den Boogaard., Mohd Yusof Ibrahim., Naing Oo Tha., Swe., Freddie
Robinson., Khamisah Awang Lukman., Mohammad Saree Jeree., Timothy William.,
Anna P& Ralph (2020) Factors Affecting Continued Participation in Tuberculosis
Contact Investigation in a Low-Income, High-Burden Setting. Trop. Med. Infect.
Dis, 5, 124; doi:10.3390/tropicalmed5030124
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