Univariate Time Series Analysis of Total Fertility Rate (TFR) in Mauritania

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Health Economist, ZimbabweThabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 8 (2021): Volume 5, Issue 8, August 2021 | Pages: 256-259

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 17-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508055

Abstract
In this research article, the ANN approach was applied to analyze TFR in Mauritania. The employed annual data covers the period 1960-2018 and the out-of-sample period ranges over the period 2019-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting TFR in Mauritania. The results of the study indicate that annual total fertility rates in Mauritania are likely to slightly decline over the out-of-sample period. Therefore, the government of Mauritania must focus on improving accessibility of sexual and reproductive health (SRH) services to adolescents and young adults, and channel more resources towards women empowerment programs.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Univariate Time Series Analysis of Total Fertility Rate (TFR) in Mauritania ” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 256-259, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508055

References
  1. Worldometer (2020). Mauritania demographics. https://www.worldometers.info
  2. Chandra-Mouli V., Svanemyr J., Amin A., Fogstad H., Say L., Girard F., & Temmerman M (2015). Twenty years after international conference on population and development: where are we with adolescent sexual and reproductive health and rights? J Adolesc Health. 2015;56:1–6
  3. Yakubu I., & Salisu WJ (2018). Determinants of adolescent pregnancy in sub-Saharan Africa: a systematic review. Reprod Health. 2018;15(1):15
  4. Horvath S., & Schreiber CA (2017). Unintended Pregnancy, Induced Abortion, and Mental Health. Curr Psychiatry Rep. 2017; 19:77. https://doi.org/10.1007/s11920-017-0832-4 PMID: 28905259
  5.  Dastgiri S., Yoosefian M., Garjani M., & Kalankesh LR (2017). Induced Abortion: a Systematic Review and Meta-analysis. Mater Socio-Medica. 2017; 29:58–67.
  6. Melese T., Habte D., Tsima BM., Mogobe KD., Chabaesele K., & Rankgoane G (2017). High Levels of Post-Abortion Complication in a Setting Where Abortion Service Is Not Legalized. PLoS ONE. 2017; 12. https://doi.org/10.1371/journal.pone.0166287 PMID: 28060817
  7. Bishwajit G., Tang S., Yaya S., & Feng Z (2017). Unmet need for contraception and its association with unintended pregnancy in Bangladesh. BMC Pregnancy Childbirth. 2017; 17:186. https://doi.org/10.1186/s12884- 017-1379-4 PMID: 28606062
  8. Darroch JE., & Singh S (2013). Trends in contraceptive need and use in developing countries in 2003, 2008, and 2012: an analysis of national surveys. Lancet Lond Engl, 381:1756–62.