Estimating the Future Burden of Adolescent Births for Comoros Using a Machine Learning Algorithm

Abstract

This study employs annual time series data on adolescent fertility rate for Comoros 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 hover around 60 births per 1000 women aged 15-19 throughout the out of sample period. Therefore, we encourage Comoros authorities to scale up educational campaigns and improve access to quality and affordable sexual and reproductive health services among adolescents. 

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. 189-192

doi.org/10.47001/IRJIET/2022.612035

References

  1. Azevedo W. F. D., Diniz M. B., Fonseca E. S. V. B. D., Azevedo L. M. R. D., and Evangelista C. B (2015). Complications in adolescent pregnancy: systematic review of the literature. Einstein (São Paulo) 13(4), 618-626.
  2. Makiwane M., Gumede N. A., and Molobela L (2018). Initiation of sexual behavior and early childbearing: Poverty and the gendered nature of responsibility amongst young people in South Africa. Journal of International Women’s Studies, 2018; 19(5), 209–226. http://awdibrary.org:8080/handle/123456789/697
  3. Smith C., Strohschein L., & Crosnoe R (2018). Family histories and teen pregnancy in the United States and Canada. Journal of Marriage and Family, 2018; 80(5), 1244–1258.https://doi.org/10.1111/jomf.12512
  4. Yakubu I., & Salisu W. J (2018). Determinants of adolescent pregnancy in sub-Saharan Africa: A systematic review. Reproductive Health, 15(1), 15. https://doi.org/10.1186/s12978-018-0460-4
  5. Diaz C. J., and Fiel J. E (2016). The effect(s) of teen pregnancy: Reconciling theory, methods, and findings. Demography. 53(1), 85–116. https://doi.org/10.1007/s13524-015-0446-6
  6. Lang K., and Weinstein R (2015). The consequences of teenage childbearing before Roe v. Wade. American Economic Journal: Applied Economics, 2015; 7(4), 169– 97. http://dx.doi.org/10.1257/app.20130482
  7. Guilamo-RamosV.,LeeJ.J., and JaccardJ (2016).Parent-adolescentcommunicationabout contraceptionandcondomuse.JAMAPediatr2016;170:14–6.doi:10.1001/ jamapediatrics.2015.3109
  8. World Health Organization (2020). Adolescent pregnancy. https://www.who.int/news-room/fact-sheets/detail/adolescent-pregnancy.
  9. Bain L.E., Muftugil-Yalcin S., Amoakoh-Coleman M., Zweekhorst M.B., Becquet R., and de Cock Buning T (2020). Decision-making preferences and risk factors regarding early adolescent pregnancy in Ghana: stakeholders' and adolescents' perspectives from a vignette-based qualitative study. Reprod Health. 2020, 17:141. 10.1186/s12978-020-00992-x
  10. Brosens I., Muter J., Ewington L., Puttemans P., Petraglia F., Brosens J.J., and Benagiano G (2019). Adolescent preeclampsia: pathological drivers and clinical prevention. Reprod Sci. 2019, 26:159-71. 10.1177/1933719118804412
  11. Bokslag A., van Weissenbruch M., Mol B.W, de Groot C.J (2016). Preeclampsia; short and long-term consequences for mother and neonate. Early Hum Dev. 2016, 102:47-50. 10.1016/j.earlhumdev.2016.09.007
  12. Medhi R., Das B., Das A., Ahmed M., Bawri S., and Rai S (2016). Adverse obstetrical and perinatal outcome in adolescent mothers associated with first birth: a hospital-based case-control study in a tertiary care hospital in North East India. Adolesc Health Med Ther. 7:37-42. 10.2147/AHMT.S91853
  13. DarrochJ.,WoogV., Bankole A (2016). Adding it up: costs and benefits of meeting the contraceptive needs of adolescents. New York: Guttmacher Institute.
  14. Mathewos S., and Mekuria A (2018). Teenage pregnancy and its associated factors among school adolescents of Arba Minch town, southern Ethiopia. Ethiop J Health Sci 2018; 28:287–98.