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 availble sources of data.
The EU-funded MOOD project is taking advantage of data mining and analysis of big data to enhance the utility of event-based surveillance (EBS), utilising reports, stories, rumours and other information transmitted through formal or informal channels including blogs, hotlines and social media. Ultimately, MOOD is supporting the work of European and global public and veterinary health agencies by providing existing monitoring platforms with methodological and practical support in response to their needs.
on Epidemic Intelligence systems in European countries with different socioeconomic statuses, geography, climate, and surveillance methods: Spain, Finland, France, Italy and Serbia;
Epidemic Intelligence stakeholders characterized their systems and then jointly assessed their needs in terms of Epidemic Intelligence tools and services;
Based on identified user-needs, tools & services will be developed in close collaboration with end-users, together with training programmes to ensure their uptake;
Outputs will be made available to the European Centre for Disease Control and to public health agencies involved, and disseminated in Europe and beyond, particularly in the global South;
The first in-person Consortium gathering to promote advancements and collaborations among WPs, steer connections between peers, and support the work of young researchers with a Poster Award. The event will be also include the interactive workshop with Public Health and Veterinary Health practitioners to co-design the very first MOOD tools & services to enhance preparedness.
Join a three-day full-immersion training session around analytical methods for epidemiology in MOOD, Outbreak analysis & data analytics in open source.
20-22 June 2022 – Montpellier (Fr)
Fondazione Edmund Mach (WP2) invites MOOD partners join a 2-days hybrid workshop to discuss, network, and present research work around current and future tools and data for Epidemic Intelligence, highlighting the interdisciplinary approaches needed under the One Health umbrella.
28-29 September 2022 – Trento (It)
Within the MOOD project, PADI-web has been developed as an EBS to monitor animal health using valuable information directly from online news articles.
MOOD contribution to the “The needs from the field, for the surveillance of tomorrow and research answers” seminar on March 22nd, 2022.
This deliverable summarizes the main collaboration points between the MOOD and VEO project consortia for the second year of the MOOD project.
Have you already submitted your abstract? Get the chance to present your work at the hybrid workshop organized by @fondazionemach & join the discussion around current&future #OneHealth research
📅 28-29 Sept
📍 @MUSE_Trento
👉 Deadline: 15 June
https://bit.ly/36XNkpA
#ISVEE is a global forum in the fields of #veterinary epidemiology and #economics, and related disciplines in the #health and #socialsciences🌐
Submission for late-breaking poster abstracts is now open! Deadline: May 31👇👇👇
Don't forget to register for the #ISVEE16 pre & post symposium workshops! Learn more about the workshops and how to register at http://ISVEE2022.ca. #16ISVEE2022 #epitwitter #vetepi #veterinaryepidemiology #ISVEEHalifax
TOMORROW DEADLINE to register for the 'hands-on course on #Arthropods of #Medical and #Veterinary Significance: A global perspective, from theory to practice' organized by the National Veterinary School of Toulouse 🇫🇷 https://bit.ly/3qJlcxB
