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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.
Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes Ononuju, Emmanuel Fidel; Isah, Audu; ThankGod, Joshua
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5356

Abstract

This study applies decomposition technique on the admission of orphans and vulnerable children (OVC) into orphanage homes. Present studies have dwelt more on the number of OVC, the estimation of the parents that are dead, and the socioeconomic well-being of OVC. Hence, there is need to study the pattern of OVC admittance. Monthly data were collected from Niger state orphanage home register and documented for a period of twenty years (2000-2020). A time series decomposition analysis was carried out to determine an appropriate model, investigate the trend of admission of OVC, and establish if there is a seasonal pattern in the series. Results showed that the pseudo-additive model was most appropriate for the series which showed a decreasing linear trend. The study also showed that there is a seasonal pattern that has the second and third quarters of the year with the highest incidence of admission into orphanage home.