Browsing by Author "Jabaru, S. O."

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    An Empirical Investigation of the Prevalence of Osteoarthritis in South West Nigeria: A Population- Based Study
    (International Journal of Online and Biomedical Engineering (iJOE), 2020) Kayode, A. A.; Akande, N. O.; Jabaru, S. O.; Oladele, Tinuke Omolewa
    Today, Osteoarthritis remains the most prevalent chronic joint disease and a potentially incapacitating joint illness. It is an enduring health problem which cannot be cure though it can be managed. Osteoarthritis remains a serious public health problem because its burden is high, people who live with it have a greater risk of developing anxiety / or depression and if it is not properly managed, it can bring about disability as well as impairing quality of life. This paper presents a statistical correlation between the reported risk factors of Osteoarthritis and its prevalence in Nigeria. Statistical tests were performed to investigate if there is enough evidence for inferring that the risk factors for Osteoarthritis are true for the whole of Nigerian population.
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    Modelling of ost-COVID-19 food production index in Nigeria using Box-Jenkins methodology
    (2023) Garba Mohammed Kabir; Akanni S. B.; Kareem, K. Y.; Yusuf, A. A.; Jabaru, S. O.; Abolarin, J. S.; Amoyedo, F. E.
    Before the COVID-19 pandemic, global food security has been known to be a major threat for developed and developing countries of the world. However, during the COVID-19 pandemic, global food security was expected to be at a very high risk due to lockdown across the globe. Consequently, the developing countries, most especially, were expected to experience food shortage challenges. One important way to measure the amount of food production of any country in the world is through the use of a macroeconomic variable known as Food Production Index (FPI). Therefore, this study seeks to examine the post-COVID-19 behavior of the Nigeria’s FPI using the Box-Jenkins methodology for modeling univariate time series. A low-frequency time series datasets over 56 years spanning from 1961 to 2016 on Nigerian FPI was extracted from World Bank repository. Pre-tests results from the unit root analyses, correlogram and selection criteria techniques showed that the FPI is a differenced stationary series of order one {I(1)}and that ARIMA (2, 1, 2) model best fitted the series. Besides, diagnostic checking of the fitted model confirmed that the error was white noise and forecast of 8 years (2017 to 2024) was made. Findings from the study revealed that the future values of the FPI are erratic and expected to fluctuate (i.e., rise and fall) within the predicted periods. Conclusively, the fourteen years out sample forecast of FPI for the periods 2017 to 2030 indicates that the gains of FPI in recent years is currently being affected by the current COVID-19 pandemic. The study recommends that concerted efforts to achieve optimal FPI must be focused on the improvement of inter-regional trade which will result in shorter food chains, and thereby creating more market for farmers and enhancing accessibility to both inputs and outputs.