Projects
PADI-web is integrated in national and international projects.
Identify signs and drivers of zoonotic diseases emergence and digital data resources for Epidemic Intelligence - WP2 - MOOD project (H2020) - Trento, 2022
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MOnitoring Outbreaks for Disease surveillance in a data science context - MOOD (H2020)
The MOOD project aims to develop innovative tools and services for the early detection, assessment, and monitoring of current and future infectious disease threats across Europe in the context of continuous global, environmental, and climatic change. -
Emergence of diseases is driven by losses of biodiversity and habitat, intensive agriculture practices, development of livestock farming and globalisation - allowing pathogens to travel fast over long distances. In addition, a number of other socio‐economic and environmental factors including climate change are involved in disease emergence. Integrated multidisciplinary and collaborative approaches such as “One health” are needed to tackle such complex health problems. -
Emerging and re-emerging animal diseases present obvious detrimental impacts on animal health to broader economic implications in terms of the lost revenues and wider societal costs resulting from disease outbreaks. Accurate prediction of the risk of emergences will have direct and indirect favourable effects on animal health and their related industries. In addition, over the past decades most of the emergent infectious agents affecting humans are zoonotic.
