Identifying Future Trends of Adolescent Fertility for Barbados Using the Artificial Neural Network Technique

Abstract

This research article employs annual time series data on adolescent fertility rate for Barbados 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 decline throughout the out of sample period. Therefore, the government of Barbados should continue supporting sexual and reproductive health programs with priority being given to strategies to prevent teenage pregnancy in order to avert adverse maternal and neonatal health outcomes. 

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. 119-122

doi.org/10.47001/IRJIET/2022.612021

References

  1. UNICEF (2019). Levels and trends in child mortality: report 2019. Estimates developed by the UN Inter-agency Group for child mortality estimation. New York: UNICEF.
  2. UN (2020) sustainable development goals. https://www.un.org/sustainabl development/development-agenda
  3. UNICEF (2018). Every Child alive. New York: UNICEF
  4. World Health Organization (WHO) (2019). SDG 3: Ensure healthy lives and promote wellbeing for all at all ages.
  5. United Nations (2016). Transforming our world: The 2030 agenda for sustainable development.
  6. United Nations (1995). United Nations International Conference on Population and Development, Cairo 5-13 September, 1994. Programme of Action. New York: United Nations, Department for Economic and Social Information and Policy Analysis.
  7. Darroch J.E., Woog V., Bankole A., Ashford L.S., and Points K (2016). Costs and benefits of meeting the contraceptive needs of adolescents: Guttmacher Institute.
  8. Neal S., Matthews Z., Frost M., Fogstad H., Camacho A.V., and Laski L (2012). Childbearing in adolescents aged 12–15 years in low resource countries: a neglected issue. New estimates from demographic and household surveys in 42 countries. Acta Obstet Gynecol Scand. 91(9):1114–8. https://doi.org/1 0.1111/j.1600-0412.2012.01467.x.
  9. Ochen A.M., Chi P.C., and Lawoko S (2019). Predictors of teenage pregnancy among girls aged 13–19 years in Uganda: a community based case-control study. BMC Pregnancy Childbirth. 19(1):211. https://doi.org/10.1186/s12 884-019-2347-y.
  10. Ayele B.G., Gebregzabher T.G., Hailu T.T., and Assefa B.A (2018). Determinants of teenage pregnancy in Degua Tembien District, Tigray, Northern Ethiopia: A community-based case-control study. PLoS One. 13(7):e0200898.