Boitu's Pathogen Research Dashboard 🦠

An interactive Streamlit web app exploring priority infectious diseases with global trends and visualizations.

Built by Boitumelo (BoiBioCode) — Researcher at Rhodes University, South Africa.

What this app shows

Quick overview and time-series trends (2010–2024) for key infectious diseases:

• TB (Tuberculosis)
• HIV/AIDS (new infections, AIDS-related deaths, people living with HIV)
• Malaria
• Influenza (Only on the Home page)
• COVID-19 (Only on the Home page)

Data sources: WHO, UNAIDS, Our World in Data, NICD, and latest global reports (2024–2026 estimates).

Features

• Interactive sidebar navigation
• Global trends tables (pandas DataFrames)
• Simple line charts showing cases/incidence vs deaths over time
• Priority pathogens overview table
• 2024 global deaths comparison horizontal bar chart (Plotly)
• Welcome section with multilingual greeting & educational content

🛠️ Tech Stack

• Python 3
• Streamlit (web app framework)
• pandas (data handling & tables)
• Plotly Express (interactive bar chart)
• Matplotlib & NumPy (imported, ready for future extensions)