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Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report

Authors :
Marta C. Nunes
Edward Thommes
Holger Fröhlich
Antoine Flahault
Julien Arino
Marc Baguelin
Matthew Biggerstaff
Gaston Bizel-Bizellot
Rebecca Borchering
Giacomo Cacciapaglia
Simon Cauchemez
Alex Barbier--Chebbah
Carsten Claussen
Christine Choirat
Monica Cojocaru
Catherine Commaille-Chapus
Chitin Hon
Jude Kong
Nicolas Lambert
Katharina B. Lauer
Thorsten Lehr
Cédric Mahe
Vincent Marechal
Adel Mebarki
Seyed Moghadas
Rene Niehus
Lulla Opatowski
Francesco Parino
Gery Pruvost
Andreas Schuppert
Rodolphe Thiébaut
Andrea Thomas-Bachli
Cecile Viboud
Jianhong Wu
Pascal Crépey
Laurent Coudeville
Source :
Infectious Disease Modelling, Vol 9, Iss 2, Pp 501-518 (2024)
Publication Year :
2024
Publisher :
KeAi Communications Co., Ltd., 2024.

Abstract

In July 2023, the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 pandemic. This report summarizes the rich discussions that occurred during the workshop.The workshop participants discussed multisource data integration and highlighted the benefits of combining traditional surveillance with more novel data sources like mobility data, social media, and wastewater monitoring. Significant advancements were noted in the development of predictive models, with examples from various countries showcasing the use of machine learning and artificial intelligence in detecting and monitoring disease trends. The role of open collaboration between various stakeholders in modelling was stressed, advocating for the continuation of such partnerships beyond the pandemic. A major gap identified was the absence of a common international framework for data sharing, which is crucial for global pandemic preparedness.Overall, the workshop underscored the need for robust, adaptable modelling frameworks and the integration of different data sources and collaboration across sectors, as key elements in enhancing future pandemic response and preparedness.

Details

Language :
English
ISSN :
24680427 and 13192574
Volume :
9
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Infectious Disease Modelling
Publication Type :
Academic Journal
Accession number :
edsdoj.394af13192574e7db6e0839ecd721b80
Document Type :
article
Full Text :
https://doi.org/10.1016/j.idm.2024.02.008