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All Journal Indonesian Journal of Educational Studies Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art Mikailalsys Journal of Advanced Engineering International
BAMIGBALA, Olateju Alao
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Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Physics Social Sciences Other

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COVID-19 lockdown policy impact on students' psychological, behavioral, and daily routine changes: A case study of Gusau residents in Nigeria OJETUNDE, Ayodeji Oluwatobi; BAMIGBALA, Olateju Alao; OYEGOKE, Toyese
Indonesian Journal of Educational Studies Vol 23, No 2 (2020): Indonesian Journal of Educational Studies
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ijes.v23i2.18973

Abstract

In the exploration of a better approach to managing education sectors in developing nations during the pandemic era, this study attempts to evaluate the impact of the COVID-19 lockdown policy on students' mental health in Gusau, one of the towns in Nigeria, through the investigation of how the students' psychology, behavior, and routine activities were affected by the introduction of lockdown protocols/policy during the COVID-19 pandemic crisis. The investigation was done using a hybrid method that employs a combination of the descriptive and factorial design method, where 201 students participated in the study. Findings from the study indicated that male students were 2% above female; two-third of the students were under-age; the students' attending private schools were 5% above the ones attending public schools; while two-third of the students were attending lower/middle school. The study confirmed that the students' psychology was significantly affected by the lockdown protocols, likewise their behaviors and routine activities. Some factors contributing to the effects were reported. And recommendations were made to the effect for the government to transform Nigeria states' learning system into being a hybrid learning system that would combine the use of both physical and virtual learning platforms at all levels of education, which would go a long way to manage the behavior, psychology, and routine activities of the students better, both during a pandemic and non-pandemic era
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.
Examining Factors Influencing Antenatal Care Visits in Nigeria Bamigbala, Olateju Alao; Odey, Solomon Etia; Ojetunde, Ayodeji Oluwatobi; Ikrimat, Aliyu; ThankGod, Joshua
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.5266

Abstract

The number of maternal deaths worldwide linked to pregnancy and childbirth is high in Nigeria. Meanwhile, attending the recommended number of antenatal care (ANC) appointments may help reduce maternal morbidity and death. This research sought to examine the factors influencing ANC visits in Nigeria. This study employed secondary data extracted from the Nigeria Demographic and Health Survey 2018. A total sample of 21,427 women was included. Data analysis was carried out using the Zero-Inflated Negative Binomial Regression. The level of significance was p < 0.05. Among the participants, 5,337 (24.9%) did not attend any ANC visits. As the number of visits increases, there is a gradual decrease in frequency, with 4 visits being the most common (12.7%). Findings revealed that place of residence, maternal education, insurance coverage, marital status, partner’s education, region, and age of the mother consistently impacted additional ANC visits. While the place of residence, maternal education, insurance coverage, partner’s education, region, and age of the mother impacted zero ANC visits. Policymakers should focus on rural areas and those with lower education levels to improve ANC visits. Furthermore, specific attention should be given to pregnant women over 18 years of age to ensure they receive adequate ANC.
Assessment of Maternal Mortality in Federal Medical Centre Jalingo Using ARIMA Model Mathias, Felix Melang; Joshua, ThankGod; Bamigbala, Olateju Alao; Sayuti, Fatima Yahaya
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 3 (2025): 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.v3i3.5359

Abstract

Nigeria bears a disproportionate burden of global maternal mortality, contributing approximately 10% of all maternal deaths worldwide. This study adopts a multi-theoretical and empirical approach to analyze the complex interplay of socio-cultural, economic, and systemic determinants influencing maternal mortality in Nigeria. Grounded in models such as the Three Delays Model, Health Belief Model, Social Determinants of Health, Andersen’s Behavioral Model, and the Cultural and Structural Competency Framework, the research highlights the multifaceted barriers impeding timely and effective maternal care. Empirical findings based on Autoregressive Integrated Moving Average (ARIMA) modeling reveal persistent, though insufficient, declines in maternal and child mortality over recent decades. Additionally, socioeconomic variables such as low levels of female education, high fertility rates, poverty, and inadequate access to antenatal care significantly correlate with maternal mortality rates. The study critiques existing interventions as poorly coordinated and unsustainable, with limited community involvement and cultural adaptation. Recommendations emphasize a multilevel prevention strategy—ranging from primordial to quaternary levels—integrating structural reforms, community-based education, capacity-building among healthcare providers, and a reconfiguration of national health policy. The findings contribute to the growing body of knowledge on maternal health by providing a comprehensive, culturally-informed, and data-driven analysis aimed at guiding future research, policy, and practice.
A Poisson Quasi Suja Distribution Ogunmola, Adeniyi Oyewole; Bamigbala, Olateju Alao
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i2.5398

Abstract

Two-parameter Poisson Quasi Suja distribution (PQSD) derived from the two-parameter quasi suja distribution is proposed for extremely positively count data. Its survival and hazard functions, first four raw moments’ measures were expressed. The variance, coefficient of variation, index of dispersion, skewness and kurtosis were also obtained. The impacts of each parameter in the new distribution were assessed.
Co-Authors Akobi, Clement Idi, Danjuma Ikrimat, Aliyu Joshua, ThankGod Mathias, Felix Melang Odey, Solomon Etia Ogunmola, Adeniyi Oyewole OJETUNDE, Ayodeji Oluwatobi OYEGOKE, Toyese Sayuti, Fatima Yahaya Stephen, Mathew ThankGod, Joshua