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

Autor: 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
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Infectious Disease Modelling, Vol 9, Iss 2, Pp 501-518 (2024)
Druh dokumentu: article
ISSN: 2468-0427
13192574
DOI: 10.1016/j.idm.2024.02.008
Popis: 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.
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