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All Journal ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology Mikailalsys Journal of Mathematics and Statistics Educational Researcher Journal
Idi, Danjuma
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Religion Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Asian Journal of Science, Technology, Engineering, and Art

 1 
A Statistical Evaluation of the Occurence of Meningitis in Takum, Taraba State, Nigeria Idi, Danjuma; Akobi, Clement; Stephen, Mathew; Bamigbala, Olateju Alao
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4112

Abstract

Meningitis remains a critical public health issue in Nigeria, particularly within the dry season when environmental factors such as low humidity and dust elevate transmission risks. Using historical incidence data from 2012 to 2021, this study utilizes the Autoregressive Integrated Moving Average (ARIMA) model estimate and predict the occurrence of meningitis occurrences. Findings frm the study revealed that the ARIMA(1,1,0) model emerged as the optimal fit, capturing the seasonal patterns and temporal trends in meningitis cases. This study recommends the integration of ARIMA-based forecasting into Nigeria’s public health strategies to strengthen early warning systems, optimize resource deployment, and enable more proactive responses during high-risk periods.
Predictive Autoregressive Integrated Moving Average Model; Meningitis Death and Alzheimer Death Ogunmola, Adeniyi Oyewole; Onowuzou, James Oruarooghene; Idi, Danjuma
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4126

Abstract

Nigeria, being a developing country and by its limited resources, priority must be placed on deaths due to ill-health-related research. This study aims to investigate the temporal pattern and forecast mortality associated with Alzheimer’s disease and meningitis using ARIMA model techniques. Results showed that the best fitted for the Alzheimer series is the ARIMA (1, 2, 0) model and the best for the meningitis series is the ARIMA(1,1,0) model. The forecasted values revealed that there will be an inconsistent slight decrease in meningitis deaths while there will be an increase in Alzheimer's deaths over the years. For meningitis, the predicted deaths for 2020, 2021, and 2022 respectively, were 45401, 45216, and 45287, and their 95% confidence intervals were obtained. For Alzheimer's, predicted deaths for 2020, 2021, and 2022 respectively, are 12472, 12832, and 13191, and their corresponding 95% confidence intervals were also obtained. Diagnostic checks for the predictive models were carried out and assumptions were sastisfied.
Inference from Modelling FDI and Unemployment Rate in Nigeria David, Ikwuoche John; Idi, Danjuma
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 4 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i4.3444

Abstract

This research investigates foreign direct investment (FDI) impact on the unemployment rate (UPR) in Nigeria by employing an Autoregressive Distributed Lag (ARDL) model. The study made use of data from the period 1985-2021. Initial assessment of the data involved the application of rolling correlation to test the significance of signals between FDI and UPR. Subsequently, the research employs the ARDL bounds test methodology to examine cointegration among FDI and UPR. Additionally, an Error Correction Model (ECM) is utilized to explore the causal relationship between these economic variables in the short run. The Augmented Dickey Fuller unit root test suggests that the variables attain stationarity at first differences (I(1)). The findings indicate that at 5% FDI significantly impacted on UPR in the long run but not in the short run where it was significant at 10%. Also, the selected best fitted model for the sampled period is ARDL(1, 1) but the plot of the cumulative sum squared chart showed that the parameter estimates were unstable for the sampled period. The results suggest more investment in FDI is necessary for reducing Nigeria unemployment rate in the long run and stabilizing it in the short run.
Co-Authors Ahmed, Abdullahi Hussain Akobi, Clement BAMIGBALA, Olateju Alao Dangana, Blessing David, Ikwuoche John Karim, Oba Abdulkadir Mathew, Stephen Michael, Ibrahim Ogunmola, Adeniyi Oyewole Onowuzou, James Oruarooghene Stephem, Mathew Stephen, Mathew Yusuf, Shadrach