Analysis and Prediction of Infectious Disease Trends in Ghana: A Machine Learning Approach, with Emphasis on HIV/AIDS [Data and software repository]

Release Summary This repository contains the final, archived datasets, scripts, and dashboard application associated with the dissertation: "Analysis and Prediction of Infectious Disease Trends in Ghana: A Machine Learning Approach, with Emphasis on HIV/AIDS" Submitted in partial fulfillment of the requirements for the MSc Data Science degree, University of East London, August 2025. Included Files ghana_infectious_disease_model_dataset_cleaned.csv dashboard_app.py Other project assets as detailed in the repository. Data Integrity All critical files have been verified using SHA-256 checksum hashes. Full SHA-256 checksums are listed in the README file for independent verification. Repository Archival This version is officially archived and immutable. Future updates will not alter the files included in this release. DOI and citation information will be generated via Zenodo.