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PMID: 1522392 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Dynamic models of infectious diseases as regulators of population sizes.

Journal of mathematical biology ·Vol. 30 ·No. 7 ·1992-00-00 ·Pages 693-716

Mena-Lorca J, Hethcote HW

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.

MeSH Terms
Animals Communicable Diseases/epidemiology Humans Incidence Mathematics Models, Biological Population Density
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Mena-Lorca J
Instituto de Matemáticas, Universidad Católica de Valparaíso, Chile.
Hethcote H W
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13 references, click to expand
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Article Info
Journal
Journal of mathematical biology
Abbr.
J Math Biol
ISSN
0303-6812
Published
1992-00-00
Pages
693-716
Language
English
Region
Germany
NLM ID
7502105
Subset
IM
Grants
PHS HHS · 200-87-0515 · United States
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