Article ; Online: Backward bifurcation and oscillations in a nested immuno-eco-epidemiological model
Journal of Biological Dynamics, Vol 12, Iss 1, Pp 51-
2018 Volume 88
Abstract: This paper introduces a novel partial differential equation immuno-eco-epidemiological model of competition in which one species is affected by a disease while another can compete with it directly and by lowering the first species' immune response to the ...
Abstract | This paper introduces a novel partial differential equation immuno-eco-epidemiological model of competition in which one species is affected by a disease while another can compete with it directly and by lowering the first species' immune response to the infection, a mode of competition termed stress-induced competition. When the disease is chronic, and the within-host dynamics are rapid, we reduce the partial differential equation model (PDE) to a three-dimensional ordinary differential equation (ODE) model. The ODE model exhibits backward bifurcation and sustained oscillations caused by the stress-induced competition. Furthermore, the ODE model, although not a special case of the PDE model, is useful for detecting backward bifurcation and oscillations in the PDE model. Backward bifurcation related to stress-induced competition allows the second species to persist for values of its invasion number below one. Furthermore, stress-induced competition leads to destabilization of the coexistence equilibrium and sustained oscillations in the PDE model. We suggest that complex systems such as this one may be studied by appropriately designed simple ODE models. |
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Keywords | backward bifurcation ; multi-scale models ; oscillations ; immuno-eco-epi model ; stress-induced competition ; infectious disease ecology ; Environmental sciences ; GE1-350 ; Biology (General) ; QH301-705.5 |
Subject code | 612 |
Language | English |
Publishing date | 2018-01-01T00:00:00Z |
Publisher | Taylor & Francis Group |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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