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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Mikailalsys Journal of Advanced Engineering International
Ikrimat, Aliyu
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Physics Social Sciences Other

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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.
Forecasting Nigeria Inflation Rate Using Autoregressive Integrated Moving Average (ARIMA) Model Ikrimat, Aliyu; Akobi, Clement; Peter, Pantuvo Tsoke; Gatta, Abdulganiy Abdullahi
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.v2i2.5649

Abstract

This study focuses on forecasting Nigeria's inflation rate using the Autoregressive Integrated Moving Average (ARIMA) model. The research utilizes monthly inflation data from January 2010 to December 2024, obtained from the Central Bank of Nigeria (CBN). The primary objective is to model and forecast inflation trends in Nigeria, which has been experiencing significant inflationary pressures in recent years. The study employs the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests to check for stationarity, revealing that the inflation series becomes stationary after a second differencing (I (2)). The ARIMA (2,2,1) model is identified as the best fit based on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), providing a balance between model complexity and predictive accuracy. The model reveals strong autoregressive and moving average dynamics, with significant coefficients for AR (1), AR (2), and MA (1) terms. The forecasted inflation rates for 2025 indicate a steady upward trend, with inflation expected to rise from 35.26% in January to 38.93% by December 2025. The findings highlight the persistent inflationary pressures in Nigeria, driven by factors such as currency depreciation, rising food prices, and energy costs. The study concludes that the ARIMA (2,2,1) model is effective for forecasting Nigeria's inflation rate and recommends that policymakers implement measures to stabilize the economy, including tighter monetary policies, fiscal discipline, and investments in domestic production to mitigate inflationary pressures. Continuous monitoring and timely adjustments to economic policies are also emphasized to address the ongoing challenges posed by inflation. Additionally, the study recommends diversifying the economy to reduce dependence on oil exports, improving agricultural productivity to curb food price volatility, and enhancing data collection methods for more accurate inflation forecasting.
Co-Authors Akobi, Clement BAMIGBALA, Olateju Alao Gatta, Abdulganiy Abdullahi Odey, Solomon Etia OJETUNDE, Ayodeji Oluwatobi Peter, Pantuvo Tsoke ThankGod, Joshua