MOOD Xmas Event 2.0: 2021’s recap
The second MOOD’s anniversary –and a global pandemic– set the context for MOOD partners to meet again, recapping the work done so far, and paving the way toward the devel
MOOD H2020
Unifying and improving health monitoring in Europe and around the world
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.
Coordinated by CIRAD as part of the EU H2020 programme, MOOD has a budget of 14 million euros and brings together 25 partners from 12 countries including research institutions, public health agencies and veterinary services to unify and improve epidemic intelligence tools and services. This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 874850 – MOOD.
By using our experience to identify and interpret the most relevant data, we can support public health agencies and help decision makers react faster, and appropriately, to emerging diseases.
4 steps to improve epidemic preparedness and response
1.
- PH/VH study
on epidemic intelligence systems in European countries with different socioeconomic statuses, geography, climate, and surveillance methods. This is focused on Spain, Finland, France, Italy and Serbia;
2.
- User needs assessment
with the epidemic intelligence stakeholders in these countries to characterize their systems and then jointly assess their needs in terms of epidemic intelligence tools and services;
3.
- Co-creation process
Based on indentified user-needs, tools and services will be developed in close collaboration with end-users, together with the design and distribution of training programmes (hackathons, summer schools) to ensure their uptake;
4.
- MOOD's tools and services
MOOD’s output will be made available to the European Centre for Disease Control and the public health agencies involved in the project, and disseminated in Europe and beyond, particularly in the global South; Tools or services will be open source (as much as possible) and available free of charge, or at a moderate cost, to achieve sustainability.
Years
project duration:
January 2020 - December 2023
Case studies
on endemic and exotic vector-borne diseases, antimicrobial resistance and unknown diseases.
MOOD Publications
scientific papers and reports funded by the MOOD project between 2020 and 2021.
MOOD partners
Latest Developments
How can mathematical and statistical models combine with #BigData to improve our response to #pandemics? Follow the virtual conference on 2.2.2022 3.30-7 PM (UTC)
How can mathematical and statistical models combine with big data to improve our response to pandemics? | LSHTM
The COVID-19 pandemic raises huge challenges for governments around the world.
www.lshtm.ac.uk
It's finally out our last MOOD Science Webinar with Infectious Diseases Project Manager Nadim Rahman @emblebi introducing the 🇪🇺 #COVID19 Data Portal.
🌐 How to deal with dynamic, global, #bigdata? Watch the video here:
@EuropeVeo #sequencedata
MOOD Science Webinars
Every last Wednesday of the month, MOOD hosts a series of science webinars inviting two leading experts to share their research work on disease surve...
mood-h2020.eu
Post Doc position in Paris with @vcolizza and myself on computational epidemiology, spatial epidemic spread, respiratory infections. Don't hesitate to get in touch for more info! Position in the context of the European project @MOOD_H2020 https://twitter.com/IDDjobs/status/1469289173232373768
Postdoc (Paris, France)
Computational modelling of the large-scale spread of respiratory infections
with @vcolizza @chpoletto
at @Inserm
More details: http://iddjobs.org/jobs/post-doc-position-on-the-computational-modelling-of-the-large-scale-spread-of-respiratory-infections
MOOD event calendar
03Dec
MOOD-VEO Joint Meeting
Online
08Dec
1st Task Leaders Meeting (day 1)
Ibis Hotel CDG Airport
09Dec
1st Task Leaders meeting (day 2)
Ibis Hotel CDG Airport
15Dec
MOOD Xmas Event 2.0
Online
No event found!