Suzana Blesić1
1 Institute for Medical Research, University of Belgrade, Belgrade, Serbia
blesic.suzana [at] gmail.com
Abstract
Due to climate change and environmental degradation the spread and the connected risk of vector-borne diseases are spatially shifting. This requires better understanding and more detailed modelling of climate and environmental drivers of those diseases, to assist efficient and timely preparedness of primarily public and veterinary health systems for such changes, true applications for dedicated information like early warning systems. Here several modelling approaches and data analysis techniques that can be used for such purposes will be presented. These are employed in two projects – CLIMOS and PLANET4HEALTH. Finally, experiences and challenges of use of One Health datasets of sand fly borne diseases and mosquito borne diseases will be shortly discussed.
The CLIMOS consortium is co-funded by the European Commission grant 101057690 and UKRI grants 10038150 and 10039289. The six Horizon Europe projects, BlueAdapt, CATALYSE, CLIMOS, HIGH Horizons, IDAlert, and TRIGGER, form the Climate Change and Health Cluster.
The PLANET4HEALTH project is funded by European Commission grant 101136652. The five Horizon Europe projects, GO GREEN NEXT, MOSAIC, PLANET4HEALTH, SPRINGS, and TULIP, form the Planetary Health Cluster.
Keywords: vector borne diseases, data analysis and modelling, climate change and environmental degradation, One Health