Forecasting Future Trends of Adolescent Fertility for Cameroon Using the Artificial Neural Network Approach

Abstract

This research article employs annual time series data on adolescent fertility rate for Cameroon from 1960 to 2020 to predict future trends of adolescent fertility rate over the period 2021 to 2030. The forecast evaluation criteria of the applied model indicate that the ANN (12, 12, 1) model is stable. The neural network model projections revealed that adolescent fertility will continue to decline but remain high throughout the out of sample period. Therefore, we encourage authorities in Cameroon to intensify health educational programs, promote girl child education and allocate more resources towards SRH program activities to ensure availability of quality and affordable family planning services. 

Country : Zimbabwe

1 Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Independent Researcher & Health Economist, Harare, Zimbabwe

IRJIET, Volume 6, Issue 12, December 2022 pp. 167-170

doi.org/10.47001/IRJIET/2022.612031

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