Overview
MSc research platform using gravity models in Python and R to predict malaria transmission dynamics and support epidemiological decision-making.
All projects
Research2025 – Present
Malaria Migration Dashboard
Gravity-model forecasting for transmission dynamics
Malaria Migration Dashboard
Problem
Migration-driven malaria risk is hard to communicate without interactive, model-backed dashboards.
Solution
Architected a forecasting dashboard grounded in gravity models with transparent analytical pipelines.
Architecture
- Gravity-model estimation pipeline
- Interactive dashboard presentation
- Reproducible analysis scripts
Challenges
- Data sparsity and spatial uncertainty
- Communicating model assumptions to non-modelers
Lessons learned
- Surveillance products need both rigor and narrative clarity
- Gravity models are interpretable bridges to policy stakeholders