Post-processing of climate and health data - Our team processes and adapts sub-seasonal and seasonal climate predictions of essential climate variables to the requirements of impact models.

Tailored indicators - Climate-sensitive disease risk indicators are co-developed and validated to support early action protocols and assess the potential impacts of future infectious diseases in climate change hotspots.

Early warning system design - We are developing an early warning tool that allows the easy visualisation and exploration of information to protect Europe from existing, increasing and new infectious diseases.

Bringing knowledge to society - To ensure that the project research reaches a wider audience, including decision- and policymakers, we organise regular webinars and events, and produce climatic health bulletins and case studies co-developed with stakeholders from various hotspots with different ecological settings and climate-induced disease threats.

As our planet heats up due to climate change, outbreaks of diseases that spread between animals and humans (i.e. zoonotic diseases) are increasing and expanding to new parts of the world, in particular Europe. Warmer temperatures, more variable rainfall and the loss of biodiversity influence the survival and spread of zoonotic pathogens, and the reproduction and geographic location of their vectors, such as mosquitoes or ticks.

Past and recent health crises have shown that there is a need for stronger and more inclusive preparedness and responsiveness to epidemic-prone pathogens at the EU and global level. IDAlert aims to tackle this challenge by developing a range of decision-support tools and systems to enable decision-makers to act on time with improved responses.