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Dynamic models of infectious diseases as regulators of population sizes
- Source :
- Journal of Mathematical Biology. 30:693-716
- Publication Year :
- 1992
- Publisher :
- Springer Science and Business Media LLC, 1992.
-
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.
- Subjects :
- Population Density
education.field_of_study
Incidence
Applied Mathematics
Population size
Population
Disease
Biology
Communicable Diseases
Models, Biological
Agricultural and Biological Sciences (miscellaneous)
Exponential growth
Dynamic models
Modeling and Simulation
Statistics
Animals
Humans
education
Mathematics
Demography
Subjects
Details
- ISSN :
- 14321416 and 03036812
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Journal of Mathematical Biology
- Accession number :
- edsair.doi.dedup.....b5b7793538800c574cecd5e0a4ac2e69
- Full Text :
- https://doi.org/10.1007/bf00173264