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June 15, 2026Central African Journal of Public HealthOpen Access

Health System Performance in CEMAC: A Bayesian Analysis of Key Determinants

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Authors

FTFleurine TseleAZAlbert ZeJTJean Tchitchoua

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Overview

Bayesian analysis reveals economic, social, and technological determinants of health system performance in CEMAC, indicating policy needs.

Key Points

  • The study aims to identify the key determinants influencing health system performance in CEMAC countries from 2007 to 2021.
  • Analyzed an unbalanced panel dataset of CEMAC countries between 2007-2021
  • Employed Bayesian Model Averaging, Weighted Average Least Squares, and General-to-Specific Modelling approaches
  • Integrated economic, social, institutional, and technological factors into a multidimensional framework
  • GDP per capita, financial development, and government health expenditure positively influence health system performance
  • Corruption negatively impacts governance quality, thus reducing health system performance
  • Robustness analysis identifies political stability, internet access, and education as supportive determinants for healthcare modernization

Cite This Study

Tsele et al. (2026) studied this question.

synapsesocial.com/papers/6a2f9782a1cfeec4908288fdhttps://doi.org/10.11648/j.cajph.20261203.19
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