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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)