ENDCast

El Niño Driven Disease Forecasting

Institution:

Institution

Research Group:

BSC Group: Earth Sciences

Researcher/s:

Chloe Fletcher, Daniela Lührsen, Martin Lotto, Alba Llabrés Brustenga, Bruno Carvalho, Rachel Lowe

Description:

ENDCast is an advanced forecasting platform that transforms climate forecasts into actionable early warnings for infectious disease outbreaks across Latin America and the Caribbean. By combining high-resolution environmental modelling, seasonal forecasting, and regional disease intelligence, the system delivers monthly outbreak risk projections with up to six months of lead time. Designed in collaboration with public health agencies and decision makers, the platform turns complex datasets into intuitive visual insights that support faster, more targeted responses. Its scalable architecture allows models to be tailored to specific diseases and locations, while remaining flexible for future expansion.

Value Proposition:

Provides early-warnings up to 6 months in advance, conveys complex predictions as decision-ready information, and expandable to new regions and diseases

Aplication areas:

Climate change, public health, water supply, risk assessment

Target market:

Environmental Health; Risk management service providers; B2G

Protection:

GPL v3 License

More information

if you want to know more about this project do not hesitate to contact us

Contact us