When the traditional assumption that the incidence rate is proportional to the product of the numbers of infectives and susceptibles is dropped, the SIRS model can exhibit qualitatively different dynamical behaviors, including Hopf bifurcations, saddle-node bifurcations, and homoclinic loop bifurcat
Dynamical behavior of epidemiological models with nonlinear incidence rates
โ Scribed by Wei-min Liu; Herbert W. Hethcote; Simon A. Levin
- Publisher
- Springer
- Year
- 1987
- Tongue
- English
- Weight
- 1003 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0303-6812
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โฆ Synopsis
Epidemiological models with nonlinear incidence rates AIPS q show a much wider range of dynamical behaviors than do those with bilinear incidence rates hiS. These behaviors are determined mainly by p and A, and secondarily by q. For such models, there may exist multiple attractive basins in phase space; thus whether or not the disease will eventually die out may depend not only upon the parameters, but also upon the initial conditions. In some cases, periodic solutions may appear by Hopf bifurcation at critical parameter values.
๐ SIMILAR VOLUMES
Epidemiological models with nonlinear incidence rates can have very different dynamic behaviors than those with the usual bilinear incidence rate. The first model considered here includes vital dynamics and a disease process where susceptibles become exposed, then infectious, then removed with tempo
For a multigroup SEIR epidemiological model with nonlinear incidence rates, the basic reproduction number is identified. It is shown that, under certain group mixing patterns and nonlinearity and/or nonsmoothness in the incidence of infection, the basic reproduction number is a global threshold para