Статья

Immuno-epidemiological model of two-stage epidemic growth

M. Banerjee, A. Tokarev, V. Volpert,
2021

Epidemiological data on seasonal influenza show that the growth rate of the number of infected individuals can increase passing from one exponential growth rate to another one with a larger exponent. Such behavior is not described by conventional epidemiological models. In this work an immuno-epidemiological model is proposed in order to describe this two-stage growth. It takes into account that the growth in the number of infected individuals increases the initial viral load and provides a passage from the first stage of epidemic where only people with weak immune response are infected to the second stage where people with strong immune response are also infected. This scenario may be viewed as an increase of the effective number of susceptible increasing the effective growth rate of infected. © The authors. Published by EDP Sciences, 2020.

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Версии

  • 1. Version of Record от 2021-04-27

Метаданные

Об авторах
  • M. Banerjee
    Department of Mathematics and Statistics, IIT Kanpur, Kanpur, 208016, India
  • A. Tokarev
    Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • V. Volpert
    Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, Villeurbanne, 69622, France
Название журнала
  • Mathematical Modelling of Natural Phenomena
Том
  • 15
Страницы
  • -
Ключевые слова
  • Mathematical models; Epidemiological modeling; Epidemiological models; Exponential growth rates; Immune response; Viral load; Immune system
Издатель
  • EDP Sciences
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus