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

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.

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Publication Details

Journal
Asian Journal of Science Technology Engineering and Art
Published
2025-04-13
DOI
https://doi.org/10.58578/ajstea.v3i3.5359
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

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

Olateju Alao Bamigbala, ThankGod Joshua, Felix Melang Mathias, Fatima Yahaya Sayuti
Asian Journal of Science Technology Engineering and Art
Forecasting Techniques and Applications
article

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

Olateju Alao Bamigbala, ThankGod Joshua, Felix Melang Mathias, Fatima Yahaya Sayuti
article en

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.

Asian Journal of Science Technology Engineering and ArtVol. 3(3)
Kwararafa University (NG), Federal University Wukari, Federal University of Technology Minna (NG)
Openalex Percentile: Top 92%
Forecasting Techniques and Applications
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Assessment of Maternal Mortality in Federal Medical Centre Jalingo Using ARIMA Model — Olateju Alao Bamigbala, ThankGod Joshua, et al. · Asian Journal of Science Technology Engineering and Art (2025) | TGRS Research Map | TGRS