We apply a transdisciplinary approach to co-designing policy-relevant methodological solutions to enhance surveillance, preparedness and response to climate-sensitive disease outbreaks and health outcomes.

We conduct cutting-edge methodological research on disentangling the impacts of global environmental change on infectious disease risk and co-developing impact-based forecasting models at sub-seasonal to decadal timescales in collaboration with public health, disaster risk management, and humanitarian agencies.

Software engineers and data scientists work together with stakeholders to create climate services based on health risk models that can facilitate access to multidisciplinary risk knowledge and increase capacity. These tools can be user-tailored to identify and target the most vulnerable areas or populations in a particular region.

Climate-informed decisions resulting from applied climate services can save lives and reduce case burden since health systems and communities can better prepare for extreme weather events. Robust health risk models can also help to inform national and international discussions about climate mitigation and adaptation policies and the economic consequences of action and inaction.