Estimating the impact of public health strategies on the spread of SARS-CoV-2: Epidemiological modelling for Toulouse, France
- PMID: 33713504
- PMCID: PMC8250046
- DOI: 10.1002/rmv.2224
Estimating the impact of public health strategies on the spread of SARS-CoV-2: Epidemiological modelling for Toulouse, France
Abstract
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting disease COVID-19 has killed over 2 million people as of 22 January 2021. We have used a modified susceptible, infected, recovered epidemiological model to predict how the spread of the virus in France will vary depending on the public health strategies adopted, including anti-COVID-19 vaccination. Our prediction model indicates that the French authorities' adoption of a gradual release from lockdown could lead in March 2021 to a virus prevalence similar to that before lockdown. However, a massive vaccination campaign initiated in January 2021 and the continuation of public health measures over several months could curb the spread of virus and thus relieve the load on hospitals.
Keywords: SARS-CoV-2; public health; statistical model.
© 2021 The Authors. Reviews in Medical Virology published by John Wiley & Sons Ltd.
Conflict of interest statement
The authors have no conflict of interest to declare.
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