MOnitoring Outbreaks for Disease surveillance in a data science context
Innovative and collaborative tools and services for early detection, assessment, and monitoring of current and potential infectious disease threats in Europe and beyond
This work has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement MOOD N° 874850.
The MOOD project
With climate change, animal and human mobility, growing populations and urbanization, there is now an increased risk of the emergence and accelerated the global spread of new pathogens. It is crucial that the emergence of a pathogen can be rapidly detected and assessed for the risk it poses to public health through all all the available sources of data.
With the funds provided by the European Union’s Horizon 2020 ‘Research and innovation programme ( grant agreement No 874850), the MOnitoring Outbreaks for Disease surveillance in a data science context (MOOD) project aims at taking advantage of data mining, analysis and visualization of health, environmental and other data to enhance the utility of event-based surveillance (EBS). Ultimately, MOOD is supporting the work of European and global public and veterinary health agencies and surveillance practitioners by providing existing monitoring platforms with novel features, and methodological and practical support adapted to their needs.
The MOnitoring Outbreaks for Disease surveillance in a data science context (MOOD) project aims to develop innovative tools and services in close collaboration with those working in the early detection, assessment, and monitoring of current and potential infectious disease threats in Europe and beyond. This will involve feedback sessions and demos of the tools under development.
A platform to enhance disease emergence and risk surveillance
A vizualisation tool for epidemiological data of various origin (event-based and indicator based) and a media monitoring tool PADI-web. Learn more about its components and how to get involved
This module provides risk maps and other modelled outputs, aiming at highlighting areas suitable for the occurrence of (mainly) specific zoonoses in animals and humans, to support improved disease detection, monitoring and surveillance. Learn more to follow and support its design