DerrickSuragh/HIV-Digital-Health-Disparities

Healthcare analytics and predictive modeling project focused on HIV digital health disparities and healthcare infrastructure analysis in South Africa. # HIV Digital Health Disparities in South Africa ## Project Overview This project explores how digital infrastructure gaps and healthcare resource shortages contribute to healthcare disparities in HIV prevention and treatment across South Africa. The objective of this project was to identify and predict under-resourced regions by integrating healthcare infrastructure data, internet accessibility indicators, public health resource availability, and simulated patient-level datasets into a relational PostgreSQL database. The project combines SQL, PostgreSQL, Python, predictive modeling, and healthcare analytics to examine how digital inequality may influence public health outcomes and access to HIV-related healthcare services. This project was completed as part of the DTSC691 Applied Data Science Capstone project at George Mason University. --- ## Research Objective The primary goal of this project was to: * Predict healthcare disparities across South African provinces * Identify under-resourced regions using healthcare and broadband indicators * Analyze relationships between digital access and healthcare infrastructure * Explore how healthcare resource shortages may impact HIV prevention and treatment efforts * Demonstrate how predictive analytics can assist in identifying healthcare inequities before they worsen --- ## Technologies Used ### Database & SQL * PostgreSQL * pgAdmin * SQL ### Python & Analytics * Python * Pandas * Matplotlib * Seaborn * SQLAlchemy * psycopg2 * Scikit-learn ### Predictive Modeling * Logistic Regression Classification * Healthcare Resource Risk Scoring * Under-Resourced Province Classification --- ## Database Structure The project database contains multiple relational tables designed to model healthcare infrastructure, HIV-related resource allocation, and digital access indicators across South Africa. ### Core Tables * Patients * Disease Cases * Healthcare Facilities * Internet Access * Government Policies * Outreach P …