Imagine if we could predict exactly when a heatwave or flood would contaminate local drinking water and cause a disease outbreak. This work connects weather data with water quality and health records to create an early warning system. It helps cities and companies prepare for water crises before people actually get sick.
Climate shocks like floods and droughts contaminate water supplies, leading to diarrheal diseases that are the second leading cause of death in children under five. Current surveillance is fragmented, leaving cities and health providers unable to predict and prevent these outbreaks.
An online visualization platform called PLAN-EO and adapted water-quality models to simulate pathogen dynamics for Cryptosporidium and Campylobacter.
If you are a water provider dealing with unpredictable contamination after floods — this project developed water-quality models that simulate pathogen dynamics. This allows you to identify risk hotspots and secure water supplies before outbreaks occur.
If you are a consultant dealing with climate risk assessments for governments — this project developed the PLAN-EO visualization platform. You can use these tools to show how temperature and rainfall changes increase diarrheal disease risks.
If you are an insurer dealing with rising healthcare costs from climate-linked epidemics — this project developed economic appraisal structures. This helps you quantify the value of interventions to prevent waterborne illness.
Based on available project data, no specific pricing or implementation costs are provided.
The project is currently in the testing phase with case studies in 4 countries (Italy, Romania, Tanzania, Ghana) to refine the models before wider use.
Based on available project data, there are no specific details regarding IP rights or licensing terms.
It focuses on informing climate, environmental, and public-health adaptation policies to improve water-safety management.
The project runs from 2024-01-01 to 2028-12-31, with current work focusing on initial model applications and data collection.
The consortium is heavily weighted toward research and academia, with 7 universities and 6 research organizations. However, it includes 2 industry partners (13% ratio), including 1 SME, indicating a bridge between theoretical climate modeling and practical application. The geographic spread across 9 countries ensures the tools are tested in diverse socioeconomic settings.
Contact STICHTING AMSTERDAM UMC for details on the PLAN-EO platform.
Contact us to track the transition of these water-quality models from prototype to market.
