Selected article for: "Epidemiological Models and SIR model"

Author: Dimeglio, Chloé; Loubes, Jean-Michel; Miedougé, Marcel; Herin, Fabrice; Soulat, Jean-Marc; Izopet, Jacques
Title: The real seroprevalence of SARS-CoV-2 in France and its consequences for virus dynamics
  • Cord-id: 31utzexu
  • Document date: 2021_6_15
  • ID: 31utzexu
    Snippet: The SARS-CoV-2 virus has spread world-wide since December 2019, killing more than 2.9 million of people. We have adapted a statistical model from the SIR epidemiological models to predict the spread of SARS-CoV-2 in France. Our model is based on several parameters and assumed a 4.2% seroprevalence in Occitania after the first lockdown. The recent use of serological tests to measure the effective seroprevalence of SARS-CoV-2 in the population of Occitania has led to a seroprevalence around 2.4%.
    Document: The SARS-CoV-2 virus has spread world-wide since December 2019, killing more than 2.9 million of people. We have adapted a statistical model from the SIR epidemiological models to predict the spread of SARS-CoV-2 in France. Our model is based on several parameters and assumed a 4.2% seroprevalence in Occitania after the first lockdown. The recent use of serological tests to measure the effective seroprevalence of SARS-CoV-2 in the population of Occitania has led to a seroprevalence around 2.4%. This implies to review the parameters of our model to conclude at a lower than expected virus transmission rate, which may be due to infectivity varying with the patient’s symptoms or to a constraint due to an uneven population geographical distribution.

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