Blog
Interview with Giulia Mencanttelli
Giulia Mencattelli currently conducts a PhD between the University of Trento, Italy, Fondazione Edmund Mach, also based in Trento, Istituto
November 28, 2022
MOnitoring Outbreaks for Disease surveillance in a data science context
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.
Join the MOOD community to give your feedback and help shape novel surveillance tools!
A platform to enhance disease emergence and risk surveillance
MODULE 1:
Data & covariates access
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
Event-based Surveillance data (EBS)
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
Disease risk mapping
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
A MOOD foundation to ensure the sustainability of the platform
The long-term sustainability and societal impact of MOOD will be achieved through the creation of the MOOD Epi-Platform International Non-Profit Association (INPA) which will perpetuate the work of the MOOD project.
The MOOD Epi-Platform Objectives
- Promote, maintain and further develop the standardised “MOOD Epi-Platform” that hosts the epidemiological e-tools developed by the MOOD project;
- Encourage the development, hosting and maintenance of additional state-of-the-art epidemiological e-tools and services, by its members, after the MOOD project is finished;
- Standardise and host relevant state-of-the-art epidemiological e-tools developed by third parties that wish to become a member of the INPA;
- Provide capacity building to support and promote the use of the tools offered by the MOOD Epi-Platform INPA.
About MOOD
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.
MOOD's targets
Public Health
Human Health
Human-Disease Surveillance Practitioners
Animal Health
Veterinarians
Animal-Disease Surveillance Practitioners
One Health
Health international organizations, national agencies, Epidemic intelligence practitioners
PROJECT PROGRESS
Milestones & Deliverables
New Deliverable/Milestone
Deliverable 7.10
This deliverable summarizes the main collaboration points between the MOOD and VEO project consortia for the second year of the MOOD project.
February 23, 2022
THE MOOD CONSORTIUM
MOOD partners
