Predicted Impacts of Booster, Immunity Decline, Vaccination Strategies, and Non-Pharmaceutical Interventions on COVID-19 Outcomes in France
Year: 2022
Type: article
Abstract: The major economic and health consequences of COVID-19 called for various protective measures and mass vaccination campaigns. A previsional model was used to predict the future impacts of various measure combinations on COVID-19 mortality over a 400-day period in France. Calibrated on previous national hospitalization and mortality data, an agent-based epidemiological model was used to predict individual and combined effects of booster doses, vaccination of refractory adults, and vaccination of children, according to infection severity, immunity waning, and graded non-pharmaceutical interventions (NPIs). Assuming a 1.5 hospitalization hazard ratio and rapid immunity waning, booster doses would reduce COVID-19-related deaths by 50-70% with intensive NPIs and 93% with moderate NPIs. Vaccination of initially-refractory adults or children ≥5 years would half the number of deaths whatever the infection severity or degree of immunity waning. Assuming a 1.5 hospitalization hazard ratio, rapid immunity waning, moderate NPIs and booster doses, vaccinating children ≥12 years, ≥5 years, and ≥6 months would result in 6212, 3084, and 3018 deaths, respectively (vs. 87,552, 64,002, and 48,954 deaths without booster, respectively). In the same conditions, deaths would be 2696 if all adults and children ≥12 years were vaccinated and 2606 if all adults and children ≥6 months were vaccinated (vs. 11,404 and 3624 without booster, respectively). The model dealt successfully with single measures or complex combinations. It can help choosing them according to future epidemic features, vaccination extensions, and population immune status.
Source: Vaccines
Authors: Simon Pageaud, Anne Eyraud-Loisel, Jean-Pierre Bertoglio, Alexis Bienvenüe, Nicolas Leboisne, Catherine Pothier, Christophe Rigotti, Nicolas Ponthus, Romain Gauchon, François Gueyffier, Philippe Vanhems, Jean Iwaz, Stéphane Loisel, Pascal Roy, on behalf of the CovDyn Group (Covid Dynamics)
Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Université de Lyon, Hospices Civils de Lyon, Laboratoire de Biométrie et Biologie Evolutive, Laboratoire de Sciences Actuarielle et Financière, Fondation du Risque, École Centrale de Lyon, Laboratoire de Mécanique des Fluides et d'Acoustique, Laboratoire d'Informatique en Images et Systèmes d'Information, Institut National des Sciences Appliquées de Lyon, Institut national de recherche en sciences et technologies du numérique, Centre Inria de Lyon, Laboratoire de Tribologie et Dynamique des Systèmes, École Nationale des Travaux Publics de l'État, Inserm, Centre International de Recherche en Infectiologie
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,203
Funders: Institut national de recherche en informatique et en automatique (INRIA), Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire de Nice, Université Claude Bernard Lyon 1, Université de Rouen, École Centrale de Lyon, Sorbonne Université, Fondation du Risque
Award: IDEXLYON
OpenAlex ID: W4310072740
