Immuno-epidemiological model of two-stage epidemic growth

Type: Article

Publication Date: 2020-01-01

Citations: 27

DOI: https://doi.org/10.1051/mmnp/2020012

Abstract

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.

Locations

  • Mathematical Modelling of Natural Phenomena - View - PDF
  • arXiv (Cornell University) - View - PDF
  • Springer Link (Chiba Institute of Technology) - View - PDF
  • HAL (Le Centre pour la Communication Scientifique Directe) - View

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