Arima forecasting of the prevalence of anemia in children in Sierra Leone


  • (1)  Smartson. P. NYONI            University of Zimbabwe, Harare, Zimbabwe  
            Zimbabwe

  • (2)  Thabani NYONI            Department of Economics, University of Zimbabwe, Harare, Zimbabwe  
            Zimbabwe

    (*) Corresponding Author

DOI:

https://doi.org/10.47494/mesb.v4i.43

Keywords:

arima, forecast, prediction, prevalence, anemica, children, Sierra Leone

Abstract

Using annual time series data on the prevalence of anemia in children under 5 years of age in Sierra Leone from 1990 – 2016, the study makes predictions for the period 2017 – 2025. The study applies the Box-Jenkins ARIMA methodology. The diagnostic ADF tests show that the AS series under consideration is an I (0) variable. Based on the AIC, the study presents the AR (4) model, also known as the ARIMA (4, 0, 0) model as the optimal model. The diagnostic tests further show us that the presented model is stable and its residuals are not serially correlated. The results of the study indicate that the prevalence of anemia in children in Sierra Leone will rise over the out-of-sample period. By 2025, the country will be having a prevalence of anemia in children of approximately 78.6%.

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References

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Wirth, J. P., et al. (2017). Anemia, Micronutrient Deficiencies, and Malaria in Children and Women in Sierra Leone Prior to the Ebola Outbreak – Findings of a Cross-sectional Study, PLoS ONE, 11 (5): 1 – 22.

Published

2020-09-30

How to Cite

Smartson. P. NYONI, & Thabani NYONI. (2020). Arima forecasting of the prevalence of anemia in children in Sierra Leone . Middle European Scientific Bulletin, 4, 67-70. https://doi.org/10.47494/mesb.v4i.43

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Section

Science

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