H2020 MOOD workshop

H2020 MOOD workshop

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Location

MUSE - Museo delle Scienze

Corso del Lavoro e della Scienza 3

38122 Trento

Italy

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Il termine per la registrazione al primo incontro di MedLab Sicilia è scaduto. Non dimenticarti di rinnovare la tua registrazione qualora tu intenda partecipare anche al secondo incontro del 03 dicembre. In questo caso, la registrazione sarà possibile dopo il 5 novembre 2021.

Hybrid workshop

About this event

Join the 2-days MOOD 2022 hybrid workshop, organized by Working Package 2, led by Fondazione Edmund Mach-FEM and Istituto Superiore di Sanità- ISS (Italy). This workshop will provide a forum for showcasing current research and findings in the field as well as for identifying critical questions and future research challenges including the provisioning of new tools and data for Epidemic Intelligence and highlighting the interdisciplinary approaches needed to meet them under the One Health umbrella.

The scientific program will be organized in 5 sessions with plenary lectures by invited speakers followed by a presentation session (oral or posters) from MOOD partners and other invited experts, with a final round table discussion. Other side events will be organized to disseminate the key messages arising from this workshop.

Abstracts are invited for consideration as talks and posters, especially but not exclusively on the diseases system included in the MOOD project and in particular on the topics covered during the workshop as specified in the scientific program.

Scientific program

Day 1 – 28th September 2022

Theme: Which drivers and how do they affect disease emergence?

  • Climate and environment as drivers of infectious disease: the evidence
  • Biodiversity loss, wildlife conservation and management, host and pathogens traits
  • Socio-economical drivers of diseases emergence

Day 2 – 29th September 2022

Theme: What methods and tools can be applied to drivers to provide early warning and rapid disease risk assessment?

  • Innovative modelling methodologies that enable risk modelling and mapping
  • Automatic data acquisition via web-scraping
  • Final round table

Target audience

This workshop is open to all MOOD partners, MOOD end-users, other EU-funded project partners and external people upon invitation.

Registrations & Fees

Registration is required and it is free of charge. The meeting will be also available online on the Zoom platform and the link will be provided prior to the event.

Due to the Covid-19 prevention regulation, attendance in presence will be limited to 100 people. Therefore, the possibility to attend the meeting in person will be confirmed by the organizing committee as soon as the abstract selection will be completed (15th July).

Registrations close: June 30th

Abstract submission

Abstract are invited for consideration as oral communication (in presence or remotely) or poster ( as online short video) especially but not exclusively on the disease system included into the MOOD project and in particular on the topics covered during the workshop as specified in the scientific program.

Abstract submission form is open at this LINK: link.

Deadline: June 15th

About

In the great acceleration era of the Anthropocene, emergence of zoonotic pathogens including those with high pandemic potential is occurring at a faster rate than in any precedent historical phase.

The scientific evidence demonstrate that emergence is preceded by a combination of driving factors and events which span from global environmental changes ( ie climate change, biodiversity loss, land use) to changes at local scale in socio-economical condition, food habits and cultural trends. Seven major anthropogenic drivers of zoonotic disease emergence have been identified by UNEP. They includes increasing demand for animal protein, unsustainable agricultural intensification, increased use and exploitation of wildlife, unsustainable utilization of natural resources accelerated by urbanization, land use change and extractive industries, travel and transportation, changes in food supply chains and climate change. Other factors includes the biological properties of the various pathogens along with host traits which are also essential to shape the capacity of pathogens to spill over and be transmitted efficiently among different species. The most recent pandemic of COVID-19 underscores both the interconnectedness of the world community and the rising threat posed by global inequality to the health, wellbeing, and security of all people other than the stronger interlink between disease emergence and changes in biodiversity and environmental condition.

Epidemic intelligence aims at the early identification of potential health threats to improve timely detection and awareness of infectious diseases events at the earlies stage of their emergence. Therefore, the identification and surveillance of the drivers and condition which are recognized to promote the emergence and spread of infectious diseases are crucial to provide public health systems with bio-ecological data and early warning digital signals. Defining, for each disease, the subset of “core” drivers and signals associated to their capacity to emerge and spread along with the cataloguing of their related digital data sources available, would provide the basis for the establishment of an integrated drivers of infectious diseases digital data surveillance system. This approach would provide an innovative tool, useful for analyst, public and veterinary health agencies and decision makers to define in which conditions the probability of infection disease emergence and spread is high, and timely identify events with such high probability therefore triggering more timely and targeted surveillance, prevention and interventions actions since the beginning of the emergence phase. These and other topics will be the subject of the upcoming 2 days MOOD 2022 hybrid workshop. This workshop will provide a forum for showcasing current research and findings in the field as well as for identifying critical questions and future research challenges including the provisioning of new tools and data for Epidemic Intelligence and highlighting the inter-disciplinary approaches needed to meet them under the One Health umbrella.

Contacts

Please submit your questions to annapaola.rizzoliATfmach.it and gonzalo.cervantesATfmach.it

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