Year: 2021
Type: article
Source: The Lancet Infectious Diseases
Institutions: Inserm, Sorbonne Université, Institut Pierre Louis d‘Épidémiologie et de Santé Publique, Centre National de la Recherche Scientifique, Université de Toulon, Aix-Marseille Université, Centre de Physique Théorique, Institut Pasteur, Génomique évolutive, modélisation et santé, Université Paris Cité, Assistance Publique – Hôpitaux de Paris, Hôpital Bichat-Claude-Bernard, Université Paris Diderot, Infection, Anti-microbiens, Modélisation, Evolution, École Normale Supérieure de Lyon, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Virologie et Pathologies Humaines, Centre International de Recherche en Infectiologie, Conservatoire National des Arts et Métiers, Tokyo Institute of Technology
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
Awards: G1199786700, G1507864366, G2519912009, G2908889909, G3010527862, G3555387431, G495187929, G6813334862, Factors associated with hospitalisation and death for COVID-19 in the French population, G7877874387, Design and evaluation of Covid screening strategies in various contexts based on empirical contact data, Big Data reduction for predictive computational modeling, Simplifying social network data to predict spreading processes, G986173382
OpenAlex ID: W4223911497
