Infectious Disease Modelling (Jun 2024)
Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
- 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
Affiliations
- Marta C. Nunes
- 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; Corresponding author. Center of Excellence in Respiratory Pathogens, Université Claude Bernard Lyon 1, Site Laënnec Bâtiment B – 7ème étage, 7 Rue Guillaume Paradin, 69008, Lyon, France.
- Edward Thommes
- New Products and Innovation (NPI), Sanofi Vaccines (Global), Toronto, Ontario, Canada; Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada
- Holger Fröhlich
- 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
- Antoine Flahault
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland and Swiss School of Public Health, Zürich, Switzerland
- Julien Arino
- Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada
- Marc Baguelin
- 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
- Matthew Biggerstaff
- National Center for Immunization and Respiratory Diseases (NCIRD), US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
- Gaston Bizel-Bizellot
- Departement of Computational Biology, Departement of Global Health, Institut Pasteur, Paris, France
- Rebecca Borchering
- National Center for Immunization and Respiratory Diseases (NCIRD), US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
- Giacomo Cacciapaglia
- Institut de Physique des Deux Infinis de Lyon (IP2I), UMR5822, IN2P3/CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France
- Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000 CNRS, Paris, France
- Alex Barbier--Chebbah
- Decision and Bayesian Computation, Institut Pasteur, Université Paris Cité, CNRS UMR 3571, France
- Carsten Claussen
- Fraunhofer-Institute for Translational Medicine and Pharmacology, Hamburg, Germany
- Christine Choirat
- Institute of Global Health, Faculty of Medicine, University of Geneva, Switzerland
- Monica Cojocaru
- Mathematics & Statistics Department, College of Engineering and Physical Sciences, University of Guelph, Guelph, Ontario, Canada
- Catherine Commaille-Chapus
- Impact Healthcare, Paris, France
- Chitin Hon
- 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
- Jude Kong
- 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
- Nicolas Lambert
- Quinten Health, Paris, France
- Katharina B. Lauer
- Airfinity Ltd, London, UK
- Thorsten Lehr
- Clinical Pharmacy, Saarland University, Saarbrücken, Germany
- Cédric Mahe
- Sanofi Vaccine, Lyon, France
- Vincent Marechal
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, Paris, France
- Adel Mebarki
- Kap Code, Paris, France
- Seyed Moghadas
- Agent-Based Modelling Laboratory, York University, Toronto, Ontario, Canada
- Rene Niehus
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
- Lulla Opatowski
- 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
- Francesco Parino
- Sorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
- Gery Pruvost
- Lifen, Paris, France
- Andreas Schuppert
- Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
- Rodolphe Thiébaut
- Bordeaux University, Department of Public Health, Inserm UMR 1219 Bordeaux Population Health Research Center, Inria SISTM, Bordeaux, France
- Andrea Thomas-Bachli
- BlueDot, Toronto, Ontario, Canada
- Cecile Viboud
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
- Jianhong Wu
- York Emergency Mitigation, Engagement, Response, and Governance Institute, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada
- Pascal Crépey
- EHESP, Université de Rennes, CNRS, IEP Rennes, Arènes - UMR 6051, RSMS – Inserm U 1309, Rennes, France
- Laurent Coudeville
- Sanofi Vaccine, Lyon, France
- Journal volume & issue
-
Vol. 9,
no. 2
pp. 501 – 518
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.
