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Journal Articles Infectious Disease Modelling Year : 2024

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

1 HCL - Hospices Civils de Lyon
2 CIRI - Centre International de Recherche en Infectiologie
3 PHE3ID - Santé publique, épidémiologie et écologie évolutive des maladies infectieuses [CIRI]
4 WITS - University of the Witwatersrand [Johannesburg]
5 University of Guelph
6 Fraunhofer SCAI - Fraunhofer Institute for Algorithms and Scientific Computing
7 Universität Bonn = University of Bonn
8 UNIGE - Université de Genève = University of Geneva
9 University of Manitoba [Winnipeg]
10 Imperial College London
11 LSHTM - London School of Hygiene and Tropical Medicine
12 CDC - Centers for Disease Control and Prevention
13 Département de Biologie Computationnelle - Department of Computational Biology
14 Département de Santé Globale - Department Global Health
15 IP2I Lyon - Institut de Physique des 2 Infinis de Lyon
16 Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases
17 Décision et processus Bayesiens - Decision and Bayesian Computation
18 ITMP - Fraunhofer Institute for Translational Medicine and Pharmacology
19 Impact Healthcare
20 MUST - Macau University of Science and Technology
21 York University [Toronto]
22 UKS - Saarland University Hospital
23 SU - Sorbonne Université
24 Kap Code
25 ECDC - European Centre for Disease Prevention and Control [Stockholm, Sweden]
26 Université Paris-Saclay
27 IP - Institut Pasteur [Paris]
28 Pierre Louis Institute of Epidemiology and Public Health
29 UKA - Universitätsklinikum RWTH Aachen - University Hospital Aachen [Aachen, Germany]
30 LBMA - Laboratoire de Biotechnologie et Microbiologie Appliquée
31 Fogarty International Center, National Institutes of Health, Bethesda, MD, 20894, USA
32 UR - Université de Rennes
33 EHESP - École des Hautes Études en Santé Publique [EHESP]
34 METIS - Département Méthodes quantitatives en santé publique
35 ARENES - Arènes: politique, santé publique, environnement, médias
Edward Thommes
Julien Arino
Jude Kong
Nicolas Lambert
  • Function : Author
Katharina Lauer
Thorsten Lehr
Cédric Mahe
  • Function : Author
Adel Mebarki
  • Function : Author
Gery Pruvost
  • Function : Author
Andrea Thomas-Bachli
  • Function : Author
Laurent Coudeville
  • Function : Author

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.
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hal-04551033 , version 1 (23-04-2024)

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Marta Nunes, Edward Thommes, Holger Fröhlich, Antoine Flahault, Julien Arino, et al.. Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report. Infectious Disease Modelling, 2024, 9 (2), pp.501-518. ⟨10.1016/j.idm.2024.02.008⟩. ⟨hal-04551033⟩
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