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DOI Prefix: 10.47001/IRJIET

Demonstrating the Use of an Early Surveillance Tool for the Detection of Abnormal Future Trends of Adolescent Fertility in Guyana

Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 12 (2022): Volume 6, Issue 12, December 2022 | Pages: 301-305

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-03-2023

doi Logo doi.org/10.47001/IRJIET/2022.612057

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Abstract

This research article uses annual time series data on adolescent fertility rate for Guyana 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 is expected to increase and will remain high throughout the out of sample period. Therefore, we encourage the government of Guyana to scale up awareness campaigns among communities, improving girl child education and strictly enforce laws to protect women’s rights.

Keywords

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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Demonstrating the Use of an Early Surveillance Tool for the Detection of Abnormal Future Trends of Adolescent Fertility in Guyana” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 12, pp 301-305 December 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.612057

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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