MOnitoring Outbreak events for Disease surveillance in a data science context (MOOD)

The MOOD project aims to develop innovative tools and services for the early detection, assessment, and monitoring of current and potential infectious diseases threats in Europe in a context of global change including climate change. The MOOD innovations will increase the operational abilities of epidemic intelligence systems to face new disease threats, including emerging diseases of known or unknown origin, and antimicrobial resistance pathogens. The MOOD innovations will address the challenges of cross-sectorial data sharing and valorisation in a One Health framework based on cross-sectorial collaboration for animal, human and environmental health. End-users are the human and veterinary public-health agencies that are responsible for designing and implementing strategies to mitigate the identified risks.

Project type:Samenwerkingsproject