Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
Year: 2021
Type: article
Abstract: We used a mathematical model to evaluate the impact of mass testing in the control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Under optimistic assumptions, one round of mass testing may reduce daily infections by up to 20-30%. Consequently, very frequent testing would be required to control a quickly growing epidemic if other control measures were to be relaxed. Mass testing is most relevant when epidemic growth remains limited through a combination of interventions.
Source: Eurosurveillance
Institutions: Centre National de la Recherche Scientifique, Institut Pasteur, Génomique évolutive, modélisation et santé, Sorbonne Université, Université Paris Cité, Infection, Anti-microbiens, Modélisation, Evolution, Conservatoire National des Arts et Métiers, Lyon 1 Université, École Normale Supérieure de Lyon, Inserm, Hospices Civils de Lyon, Virologie et Pathologies Humaines, Centre International de Recherche en Infectiologie, Institut Pierre Louis d‘Épidémiologie et de Santé Publique
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
Awards: G1144940652, G1979782309, Versatile Emerging infectious disease Observatory, G282427092, G3047285091, G3256177976, G434337789, Rapid European SARS-CoV-2 Emergency research Response, Institut Convergences pour l’étude de l’Emergence des Pathologies au Travers des Individus et des populatiONs, G7240651115, G7376787254, Integrative Biology of Emerging Infectious Diseases, G7916265299, G8670608220
OpenAlex ID: W3119945994