Ebola outbreak modelling in the DRC
A multidisciplinary brief on predicting localized transmission in the Democratic Republic of the Congo. Teams integrate epidemiological data with contextual mapping to refine models and explore how faster, better-informed modelling can shorten response lag in emerging hotspots. Guest seminars on 15 September (COVID-19 South Africa; Ebola response decision-making) frame the applied work.
Expected deliverables
- Calibrated transmission scenarios for the study setting
- Clear maps / figures that communicate risk and uncertainty
- A short set of response-oriented recommendations
- Team presentation on Saturday 19 September 2026
Methods you will use
- Model calibration and validation in R
- Scenario analysis (control & counterfactuals)
- Uncertainty and sensitivity at a practical level
- Science & policy communication of model outputs