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Predicted Impacts of Booster, Immunity Decline, Vaccination Strategies, and Non-Pharmaceutical Interventions on COVID-19 Outcomes in France

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)
Source :
Vaccines, Vol 10, Iss 12, p 2033 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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.

Details

Language :
English
ISSN :
2076393X
Volume :
10
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Vaccines
Publication Type :
Academic Journal
Accession number :
edsdoj.3f1f4c0cb090496eb13860d61370a979
Document Type :
article
Full Text :
https://doi.org/10.3390/vaccines10122033