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A diffusive SI model with Allee effect and application to FIV
Frank M Hilker1, Michel Langlais, Sergei V Petrovskii
1Institute of Environmental Systems Research, Department of Mathematics and Computer Science, University of Osnabrück, 49069 Osnabrück, Germany. fhilker@uos.de
Abstract:
A minimal reaction-diffusion model for the spatiotemporal spread of an infectious disease is considered. The model is motivated by the Feline Immunodeficiency Virus (FIV) which causes AIDS in cat populations. Because the infected period is long compared with the lifespan, the model incorporates the host population growth. Two different types are considered: logistic growth and growth with a strong Allee effect. In the model with logistic growth, the introduced disease propagates in form of a travelling infection wave with a constant asymptotic rate of spread. In the model with Allee effect the spatiotemporal dynamics are more complicated and the disease has considerable impact on the host population spread. Most importantly, there are waves of extinction, which arise when the disease is introduced in the wake of the invading host population. These waves of extinction destabilize locally stable endemic coexistence states. Moreover, spatially restricted epidemics are possible as well as travelling infection pulses that correspond either to fatal epidemics with succeeding host population extinction or to epidemics with recovery of the host population. Generally, the Allee effect induces minimum viable population sizes and critical spatial lengths of the initial distribution. The local stability analysis yields bistability and the phenomenon of transient epidemics within the regime of disease-induced extinction. Sustained oscillations do not exist.
Insights
This study models infectious disease spread, like Feline Immunodeficiency Virus (FIV), using reaction-diffusion equations. The Allee effect significantly complicates disease dynamics, leading to extinction waves and impacting host population viability.
Area of Science:
- Mathematical Biology
- Epidemiology
- Population Dynamics
Background:
- Infectious diseases can significantly impact host populations.
- The Feline Immunodeficiency Virus (FIV) serves as a model for long-term infections.
- Host population growth dynamics are crucial for understanding disease spread.
Purpose of the Study:
- To analyze a minimal reaction-diffusion model for infectious disease spatiotemporal spread.
- To investigate the influence of host population growth (logistic vs. Allee effect) on disease dynamics.
- To understand the impact of Feline Immunodeficiency Virus (FIV) on cat populations.
Main Methods:
- Development of a minimal reaction-diffusion mathematical model.
- Inclusion of host population growth: logistic and Allee effect.
- Analysis of spatiotemporal dynamics and stability of disease spread.
Main Results:
- Logistic growth model shows a constant-rate travelling infection wave.
- Allee effect model exhibits complex dynamics, including extinction waves and destabilization of endemic states.
- Spatially restricted epidemics, extinction pulses, and recovery pulses are possible under the Allee effect.
- The Allee effect introduces minimum viable population sizes and critical spatial scales.
Conclusions:
- The Allee effect dramatically alters infectious disease spread compared to logistic growth.
- Disease-induced extinction waves can destabilize host-pathogen coexistence.
- Transient epidemics and bistability are observed, with no sustained oscillations.
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