A Model-Based Study on Nutritional Feeding Strategies and Health Outcomes for Infants of HIV-Affected Mothers in the Democratic Republic of Congo

Authors

  • Dr. Taufik Akbar Faculty of Informatics Engineering, Universitas Sultan Ageng Tirtayasa, Serang, Indonesia Author
  • Dr. Niken Larasati School of Computing, Universitas Negeri Jakarta, Jakarta, Indonesia Author

Keywords:

HIV transmission, infant feeding strategies, exclusive breastfeeding, nutritional outcomes

Abstract

Infant feeding practices among HIV-affected populations represent a complex intersection of nutritional adequacy, infection risk, and socio-economic constraints. This study develops a model-based analytical framework to evaluate nutritional feeding strategies and their associated health outcomes for infants born to HIV-positive mothers in the Democratic Republic of Congo (DRC). Drawing exclusively on existing empirical and clinical literature, the research synthesizes evidence on breastfeeding, mixed feeding, and formula feeding under varying healthcare conditions and antiretroviral therapy (ART) coverage. A conceptual model integrating biological transmission pathways, nutritional status indicators, and socio-environmental variables is proposed. The findings highlight that exclusive breastfeeding combined with ART significantly reduces postnatal HIV transmission while optimizing infant survival rates. Conversely, mixed feeding practices increase infection risk and compromise nutritional outcomes. The study identifies systemic gaps in policy implementation, healthcare accessibility, and maternal education, which influence feeding decisions. The model offers a structured basis for optimizing feeding strategies in resource-constrained environments and contributes to policy formulation aimed at reducing HIV transmission and improving child health outcomes in the DRC.

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Published

2026-04-01

How to Cite

A Model-Based Study on Nutritional Feeding Strategies and Health Outcomes for Infants of HIV-Affected Mothers in the Democratic Republic of Congo. (2026). European Journal of Emerging Cloud and Quantum Computing, 3(04), 1-5. https://parthenonfrontiers.com/index.php/ejecqc/article/view/635

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