This section highlights my published research, academic contributions, and independent writings. My work spans public health, biomedical science, infectious disease epidemiology, and data-driven healthcare insights.
Embedded Files
Peer-Reviewed Publications
Peer-Reviewed Publications
2026
Ghanem, V. G. (2026). Spatial and Machine Learning Analysis of District-Level Health Insurance Inequities in Ghana. Cereus, 18(1): e101984. https://doi.org/10.7759/cureus.101984
Summary: This study examines NHIS non-enrolment across 261 districts in Ghana using spatial analysis (Bivariate LISA) and machine learning (CART). District-level illiteracy emerged as the strongest predictor of uninsurance, outweighing poverty and population density. Forty-two high-risk districts, concentrated in the northern belt, highlight geographic and institutional access barriers. The findings inform literacy-neutral enrollment strategies and targeted UHC interventions.
Status: Published
2025
Ghanem, V. G. (2025). HIV Prognosis in Sub-Saharan Africa: A Narrative Review of Mortality Trends, Structural Determinants, and Policy Implications. International Journal of Medical and Health Research, 3(2). https://doi.org/10.61424/ijmhr.v3i2.346
Summary: A narrative synthesis of 218 peer-reviewed studies (2015–2024) examining HIV-related mortality trends in Sub-Saharan Africa, emphasizing structural determinants (e.g., healthcare access, economic inequality, gender norms), and highlighting the underutilization of behavioral and biomedical predictors. The review critiques regional disparities and provides a framework for evidence-based policy design.
Status: Published
Access:
➔ [📄 View Full Text (IJMHR)]
2025
Ghanem, V. G. (2025). Socio-Behavioral and Spatial Determinants of HIV/AIDS Incidence in Ghana: An Ecological Cross-Sectional Study with Explainable Machine Learning. Advances in Infectious Diseases. https://doi.org/10.4236/aid.2025.154050
Summary: Spatial epidemiological analysis combining socio-behavioral indicators and geospatial data to identify determinants of HIV/AIDS incidence using SHAP, XGBoost, and GIS techniques.
Status: Published
Access:
➔ [📄 View Full Text (AID)]
2025
Ghanem, V. G. (2025). Forecasting HIV/AIDS Incidence in Ghana: A Retrospective Observational Study Using Ensemble Machine Learning Models [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-6639193/v1
Summary: Time-series modeling of HIV/AIDS incidence in Ghana using ensemble methods—Random Forest, XGBoost, Gradient Boosting, and Voting Regressors—to predict future trends.
Status: Preprint (Peer review with BMC Public Health)
Access:
➔ [📄 View Preprint (Research Square)]
2025
Ghanem, V. G. (2025). Analysis and Prediction of Infectious Disease Trends in Ghana: A Machine Learning Approach, with Emphasis on HIV/AIDS [Data and software repository]. Zenodo. https://doi.org/10.5281/zenodo.156168465616846.
Summary: Predictive epidemiological study applying Random Forest, Ridge Regression, XGBoost, and SVR to model HIV/AIDS incidence in Ghana.
Status: Published
Access:
➔ [🌐 Launch Dashboard (Streamlit App)]
➔ [📂 View Code and Model Files (GitHub)]
Academic Positions
Academic Positions
Peer Review Membership
Peer Review Membership
Ghanem, V. G. (2025). Peer Reviewer – International Journal of Medical Science (ICMERD-IJMS).
Institution: International Council for Medical Education Research and Development (ICMERD)
Summary: Appointed as a peer reviewer in recognition of scholarly expertise, academic leadership, and service to medical research publication.
Status: Active
Access:
➔[ 🌐 Reviewer Profile – ICMERD]
➔ [📄 View Membership Certificate]
Ghanem, V. G. (2025). Peer Reviewer – Cureus Journal of Medical Science (Springer Nature Publishers).
Institution: Cureus / Springer Nature
Summary: Serves as a peer reviewer responsible for evaluating manuscript quality, assessing methodological rigor, and ensuring scientific integrity across biomedical, clinical, and public health submissions.
Status: Active
Access:
➔ [ 🌐 Reviewer Profile – Cureus]
➔ [📄 View Peer Review Activity Summary]
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