Assessment of Maternal Mortality in Federal Medical Centre Jalingo Using ARIMA Model

Main Article Content

Felix Melang Mathias
ThankGod Joshua
Olateju Alao Bamigbala
Fatima Yahaya Sayuti

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.

Keywords:
Share Article:

Citation Metrics:

Scopus



Downloads

Download data is not yet available.

Scopus Citation Data

Data source Crossref
0
citations
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Kaur J. (2027)
    ENTOMOFAUNA DIVERSITY ASSESSMENT
    Indian Journal of Entomology, 89(1), 114-116
  2. Chowdhury S. (2027)
    EFFICACY OF BIOPESTICIDES ON EGG HATCHABILITY AND ADULT MORTALITY OF TETRANYCHUS MACFARLANEI BAKER AND PRITCHARD
    Indian Journal of Entomology, 89(1), 166-171
  3. Xu W. (2027)
    Endoscopic Thrombin Injection for Gastric Variceal Bleeding: A Systematic Review and Meta-Analysis of Observational and Trial Data
    Den Open, 7(1)

Article Details

How to Cite
Mathias, F. M., Joshua, T., Bamigbala, O. A., & Sayuti, F. Y. (2025). Assessment of Maternal Mortality in Federal Medical Centre Jalingo Using ARIMA Model. Asian Journal of Science, Technology, Engineering, and Art, 3(3), 569-583. https://doi.org/10.58578/ajstea.v3i3.5359

References

Abdullahi, S. I. & Abubakar, S.S. (2021). Analysis and Forecasting Of Maternal Mortality in Nigeria. Journal of Research in Humanities and Social Science,9 (2021), 2321-9467.

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19, 716–723.

Anderson, D. R., & Burnham, K. P. (2002). Avoiding pitfalls when using information-theoretic methods. The Journal of wildlife management, 912-918.

David, A.E. & Raheem, M.A. (2023). Time Series Modelling and Forecasting af Under5 Mortality Rate in Nigeria. World Journal of Applied Science and Technology, Vol. 15 No. 2(2) (2023), 390 - 396 https://dx.doi.org/10.4314/wojast.v15i2.35

Dickey, D.A. & Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root, journal of American statistical Association, 74: 427-431.

Ewere, F. & Donalben, O.E. (2020). Time Series Analysis and Forecast of Infant Mortality Rate in Nigeria: An ARIMA Modeling approach: Canadian Journal of Pure and Applied Sciences, 14(2), 5049-5059.

Idowu, A., Okonfua, F., Imosemi, D., Igboin,B., Ayeyemi, A., Chibuko, C. (2017). Maternal death Review and outcomes: An assessment in Lagos State, Nigeria. PLoS ONE 12(12).

Onambele, L., Guillen-Aguinaga, S., Guillen-Aguinaga, L., Ortega-Leon, W., Montejo, R., Alas-Brun, R., Aguinaga-Ontoso, E., Aguinaga-Ontoso, I., Guillen-Grima, F. (2023). Trends, Projections, and Regional Disparities of Maternal Mortality in Africa (1990-2030): An ARIMA Forecasting Approach. Epidemiologia (Basel). 4(3):322-351. doi: 10.3390/epidemiologia4030032. PMID: 37754279; PMCID: PMC10528291.

Orjingene, O., Teryila, O., Baffoe, P., Olumuyiwa, O. (2023). Factors Affecting Maternal and Neonatal Mortality in Northern Nigeria: A Multiple Linear Regression Analysis. medRxiv doi: https://doi.org/10.1101/2022.06.30.22276507

Oyedepo, E.O. (2023). Trends and Patterns of Maternal Mortality in Nigeria, journal of Social Development in Africa, 38(2), https://dx.doi.org/10.4314/jsda.v38i2.4

Ronsmans, C. & Graham, W.J. (2006). Maternal Mortality: who, when, where, and why, lancet. 2006: 368(9542): 1189-200.

Sherma, V., Willa, B., Muhammad, A., Kainuwa, J.L & Martina B.N. (2017). High Maternal Mortality in Jigawa State, Northern Nigeria Estimated using the sisterhood method, BMC pregnancy and childbirth, 17:163

World Health Organization (2013). Maternal death surveillance and response: technical guidance, Information for action to prevent maternal death.2013; www.who.int/maternal child adolescent/documents/maternal death surveillance/en


Explore Our Journals
Find the most suitable journal for your research. If this journal does not fully align with the scope of your manuscript, we invite you to explore our wider portfolio of journals covering diverse fields of study. Please select one of the journals below to identify the most appropriate publication platform for your work.