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 sp
Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models
โ Scribed by Wei-min Liu; Simon A. Levin; Yoh Iwasa
- Publisher
- Springer
- Year
- 1986
- Tongue
- English
- Weight
- 834 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0303-6812
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โฆ Synopsis
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 bifurcations. These may be important epidemiologically in that they demonstrate the possibility of infection outbreak and collapse, or autonomous periodic coexistence of disease and host. The possible mechanisms leading to nonlinear incidence rates are discussed. Finally, a modified general criterion for supercritical or subcritical Hopf bifurcation of 2-dimensional systems is presented.
๐ SIMILAR VOLUMES
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
Stability of SIR models has been studied extensively within the framework of disease epidemiology. We formulate a nonlinear mathematical model to study the role of nonlinear incidence rates and the effect of time delay in a nonlinear logistically growing time delayed SIR model with variable populati
In this paper, we introduce a basic reproduction number for a multigroup epidemic model with nonlinear incidence. Then, we establish that global dynamics are completely determined by the basic reproduction number R 0 . It shows that, the basic reproduction number R 0 is a global threshold parameter