Journal of Mathematical Biology

, Volume 30, Issue 7, pp 693–716

Dynamic models of infectious diseases as regulators of population sizes

Authors

  • Jaime Mena-Lorcat
    • Instituto de MatemáticasUniversidad Católica de Valparaíso
  • Herbert W. Hethcote
    • Department of MathematicsUniversity of Iowa
Article

DOI: 10.1007/BF00173264

Cite this article as:
Mena-Lorcat, J. & Hethcote, H.W. J. Math. Biol. (1992) 30: 693. doi:10.1007/BF00173264

Abstract

Five SIRS epidemiological models for populations of varying size are considered. The incidences of infection are given by mass action terms involving the number of infectives and either the number of susceptibles or the fraction of the population which is susceptible. When the population dynamics are immigration and deaths, thresholds are found which determine whether the disease dies out or approaches an endemic equilibrium. When the population dynamics are unbalanced births and deaths proportional to the population size, thresholds are found which determine whether the disease dies out or remains endemic and whether the population declines to zero, remains finite or grows exponentially. In these models the persistence of the disease and disease-related deaths can reduce the asymptotic population size or change the asymptotic behavior from exponential growth to exponential decay or approach to an equilibrium population size.

Key words

Epidemiological modelsPopulation dynamicsThresholdsHopf bifurcation

Copyright information

© Springer-Verlag 1992