CVSmart-Cassava

Client: Pilot project — local partners

Context

Pilot project to monitor cassava viral diseases developed with field teams in West Africa to improve early detection and response planning.

Problem

Cassava viral epidemics spread quickly and are hard to anticipate without systematic surveillance and robust spatial analysis. Local teams often lack simple tools to visualize risk and prioritize interventions.

Solution

CVSmart-Cassava offers:

easy import of field observations (mobile forms);
interactive mapping of outbreaks and estimated spread;
stochastic and spatial models to estimate epidemic probability and impacts;
operational recommendations (intervention priorities, focus areas for awareness).

Technologies

Python + Streamlit UI;
Folium / Leaflet for interactive maps;
Lightweight JavaScript for UX;
Modelling: spatio-temporal stochastic models, Bayesian estimation for uncertainty quantification.

Impact

Improved planning of surveillance and control campaigns.
Adopted by local teams for resource prioritization.