how it works
setting a new benchmark in climate-informed disease forecasting.
discover how we transform global environmental and health data into timely, actionable predictions.
1
data integration
we aggregate diverse datasets including global climate projections, real-time meteorological observations, historical ntd incidence reports, and regional population density metrics.
2
machine learning predictions
our advanced predictive models analyze integrated data streams to estimate outbreak risks under varying climate scenarios, continuously improving with new data.
3
interactive exploration
users can dynamically visualize predicted risk distributions by disease, year, and location, accessing granular projections and temporal trends for informed decision-making.