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.
MOOD innovations will increase the operational abilities of epidemic intelligence systems to face new disease threats, including emerging diseases of known or unknown origins, and antimicrobial resistance pathogens. Through big data and disease modelling innovations, the MOOD project will address the challenges of cross-sectoral data sharing and valorisation in a One Health framework based on multi-disciplinary collaboration for animal, human, and environmental health. Human and veterinary public-health agencies responsible for designing and implementing strategies to mitigate the identified risks are the end-users.
A major objective of MOOD is to ensure sustainability beyond the project duration. Therefore, a governance model and business case for a not-for-profit organisation using a range of business framework tools will be completed by the project's end. A framework called Business Model Canvas will be implemented to avoid time-consuming and opaque aspects of a classical business model.
The MOOD management team ensures compliance with the highest ethical standards as presented in the European Charter for Researchers throughout all project outputs.
Emergence of new and exotic pathogens in a changing environment due to climate change
Solutions for big health data for One Health approach to monitoring deseases
Data science tools and methods as a solution to faster modeling of outbreaks
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