Annual Consortium Meeting 2022

The MOOD Annual Consortium Meeting was held on Thursday 23rd and Friday 24th at Agropolis International, Montepellier (France).

In this occasion, partners presented the scientific achievements of the previous year, as well as the progress and future steps of each working group.

Besides the Working Packages programme, AVIA-gis (WP5) led the co-development sessions for the generic and disease-specific tools that will be part of the MOOD platform for epidemic intelligence together with invited end-users.

Objectives of the meeting

Programme

180 participants

Among partners and Public Health and Animal Health practitioners, in person and online

CIRAD

Organizers: MOOD Coordination team, CIRAD.

23-24 June

15 sessions

Highlights and achievements - a message from the MOOD project

We are happy to have had over 60 MOOD consortium partners present in person at the first face-to-face MOOD meeting in Montpellier.

We are thankful for everyone that attended the meeting both in person and remotely and enriched the meeting with useful questions, comments and suggestions.

We also had over ten potential end-users from public/animal health agencies attending in person from Europe and online from the Réunion and Mayotte.

We are thankful for the on site presence of the external experts from the WHOAH, founded as the OIE and the ECDC as potential end-users and providers of scientific and technical advice. We are thankful for the online participation of the experts and potential end-users from the FAO and EFSA. 

We are thankful for the contribution of the two independent ethics and data protection advisors of the MOOD project from Ethicas, Spain and Rhizome, Belgium.

We are thankful to the Ukrainian team of researchers from the Kharkiv and Karazin University for their in-person attendance and useful inputs for potential collaborations in the domain of sociology, epidemiology, artificial intelligence and mathematical modelling.

MOOD platform updates

  • The MOOD platform will integrate disease-risk models, covariates data and cutting-edge information extraction techniques developed during the research-stage project, into accessible, easy and intuitive tools that will provide decision-ready information in support of disease surveillance and monitoring by public and animal health agencies and organizations;
  • The ‘Disease risk mapping’ module provides users with risk maps and other modelled outputs for specific diseases (7 model pathogens), and it is currently undergoing the user input collection stage in regards to how they want to use these models: 
  • A MOOD no-profit association will be founded before the end of the project and will be in charge of not only maintaining the platform but also to further building on it;
  • Regarding the MOOD non-for-profit foundation, as AVIA-GIS is in charge, it will contact in the months to follow all the partners on the legal parts of the organization, to start discussing memberships.
  • Some data is already accessible for the project, further meetings for collaboration and data sharing with the international and national public and animal health agencies would be beneficial, especially regarding the sustainability of the data flows for the future MOOD non-for-profit foundation.
  • The project is reaching good results, however, facilitators and developers should stay in touch with the potential end-users. Even if the platform isn’t final, it should be shared with potential users and further collect inputs and comments on the use.

Guy Hendickx – AVIA-gis CEO and WP5 leader

MOOD platform updates Generic MOOD platform module updates

The generic part of the platform, which will include Data and Covariate access, improved visualization and personalized queries, is already under development and the first prototype is expected by the end of 2022 for user testing.

  • Covariates module (Cedric Masboom, AVIA-GIS) – development & discussion with potential end-users and cases study facilitators continues;
  • Event-based data (Padi-web) visualization and analytics module (Pascal Poncelet, LIRMM) – development & discussion with potential end-users and cases study facilitators continues

 

 

Work package updates and future actions