作者：
Nunes, Marta C;Thommes, Edward;Fröhlich, Holger;Flahault, Antoine;Arino, Julien;...
作者机构：
Center of Excellence in Respiratory Pathogens (CERP), Hospices Civils de Lyon (HCL) and Centre International de Recherche en Infectiologie (CIRI), Équipe Santé Publique, Épidémiologie et Écologie Évolutive des Maladies Infectieuses (PHE3ID), Inserm U1111, CNRS UMR5308, ENS de Lyon, Université Claude Bernard Lyon 1, Lyon, France
South African Medical Research Council, Vaccines & Infectious Diseases Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
New Products and Innovation (NPI), Sanofi Vaccines (Global), Toronto, Ontario, Canada
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada
Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Department of Bioinformatics, Schloss Birlinghoven, Sankt Augustin, Germany
University of Bonn, Bonn-Aachen International Center for IT (b-it), Bonn, Germany
Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland and Swiss School of Public Health, Zürich, Switzerland
Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada
MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
National Center for Immunization and Respiratory Diseases (NCIRD), US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
Departement of Computational Biology, Departement of Global Health, Institut Pasteur, Paris, France
Institut de Physique des Deux Infinis de Lyon (IP2I), UMR5822, IN2P3/CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France
Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000 CNRS, Paris, France
Decision and Bayesian Computation, Institut Pasteur, Université Paris Cité, CNRS UMR 3571, France
Fraunhofer-Institute for Translational Medicine and Pharmacology, Hamburg, Germany
Institute of Global Health, Faculty of Medicine, University of Geneva, Switzerland
Mathematics & Statistics Department, College of Engineering and Physical Sciences, University of Guelph, Guelph, Ontario, Canada
Impact Healthcare, Paris, France
Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China
Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada
Quinten Health, Paris, France
Airfinity Ltd, London, UK
Clinical Pharmacy, Saarland University, Saarbrücken, Germany
Sanofi Vaccine, Lyon, France
Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, Paris, France
Kap Code, Paris, France
Agent-Based Modelling Laboratory, York University, Toronto, Ontario, Canada
European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
UMR 1018, Team "Anti-infective Evasion and Pharmacoepidemiology", Université Paris-Saclay, UVSQ, INSERM, France
Epidemiology and Modelling of Antibiotic Evasion, Institut Pasteur, Université Paris Cité, Paris, France
Sorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
Lifen, Paris, France
Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
Bordeaux University, Department of Public Health, Inserm UMR 1219 Bordeaux Population Health Research Center, Inria SISTM, Bordeaux, France
BlueDot, Toronto, Ontario, Canada
Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
York Emergency Mitigation, Engagement, Response, and Governance Institute, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada
EHESP, Université de Rennes, CNRS, IEP Rennes, Arènes - UMR 6051, RSMS - Inserm U 1309, Rennes, France
语种：
英文
关键词：
Covid-19,Infectious diseases,Modelling,Pandemic preparedness,Workshop
期刊：
传染病建模
ISSN：
2468-0427
年：
2024
卷：
9
期：
2
页码：
501-518
摘要：
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 moni...
