vghanem/ghana_disease_dashboard

Streamlit Dashboard for Infectious Disease Trends in Ghana # ghana_disease_dashboard Streamlit Dashboard for Infectious Disease Trends in Ghana ## Disclaimer This repository is the final, archived version supporting the dissertation _'Analysis and Prediction of Infectious Disease Trends in Ghana: A Machine Learning Approach, with Emphasis on HIV/AIDS'_ by Valentine Golden Ghanem (MSc Data Science, University of East London, 2025). Files are subject to checksum verification. Unauthorized alteration constitutes academic misconduct. ## 📄 File Integrity Verification (SHA-256 Checksums) The following SHA-256 checksums are provided to verify the authenticity and integrity of critical files used in this project: | File | SHA-256 Checksum | |:----|:-----------------| | `ghana_infectious_disease_model_dataset_cleaned.csv` | `F0CA3B11EAB890A22AEB910AEC2870C2C3E09523349AE1DB3BE2832ADC2DC71` | | `dashboard_app.py` | `652817CDD1BE012630D86B2071980563D3F0381E1F5BFAA6CE1CD59632AF828F` | ### 🔒 How to Verify: 1. Download the file from this repository. 2. Use a SHA-256 tool (such as `sha256sum` on Linux/macOS or `Get-FileHash` in PowerShell on Windows) to generate the hash. 3. Compare it against the values listed above. 4. If they match ✅, the file has not been altered. If they differ ❌, the file has been modified or corrupted. > Ensuring file integrity is critical for maintaining the authenticity of academic and professional work.