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 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.
MODULE 1:
A one-stop “shop” for the visualization and download of relevant standardized covariates relative to the MOOD model diseases and, more generally, to infectious disease emergence in support of risk assessment and modeling
Learn more to support its development
MODULE 2
A visualization tool with the possibility to download data on disease outbreaks, extracted from online media news using text mining with Padi-web, an online media monitoring tool. Learn more about its components and how to get involved
MODULE 3
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
The 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. Join us!
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 in view of climatic and environmental changes.
At the MOOD science webinar we learnt critical ethics aspects in health data from Gemma Galdon Clavell, CEO at Eticas consulting and MOOD data protection consultant.
This deliverable summarizes the main collaboration points between the MOOD and VEO project consortia for the second year of the MOOD project.
We are thankful to the @fondazionemach team for their professional and spotless organization.
Watch the interview by Elena Arsevska– MOOD coordinator– held at the workshop 👇👇
@Cirad
Si chiude il workshop Epidemic Intelligence, organizzato con @FBK_research al @MUSE_Trento che rientra nel progetto @MOOD_H2020 presentato da E. Arsevska @Cirad http://ow.ly/bNME50KWKN8
