Please use this identifier to cite or link to this item: `http://hdl.handle.net/1893/9281`
 Appears in Collections: Computing Science and Mathematics Journal Articles Peer Review Status: Refereed Title: Steady states in a structured epidemic model with Wentzell boundary condition Author(s): Calsina, AngelFarkas, Jozsef Zoltan Contact Email: jzf@maths.stir.ac.uk Keywords: Structured populationsDiffusionWentzell-Robin boundary conditionSteady statesSpectral methodsEcology Mathematics Issue Date: Sep-2012 Date Deposited: 1-Oct-2012 Citation: Calsina A & Farkas JZ (2012) Steady states in a structured epidemic model with Wentzell boundary condition. Journal of Evolution Equations, 12 (3), pp. 495-512. https://doi.org/10.1007/s00028-012-0142-6 Abstract: We introduce a non-linear structured population model with diffusion in the state space. Individuals are structured with respect to a continuous variable which represents a pathogen load. The class of uninfected individuals constitutes a special compartment that carries mass; hence the model is equipped with generalized Wentzell (or dynamic) boundary conditions. Our model is intended to describe the spread of infection of a vertically transmitted disease, for e.g., Wolbachia in a mosquito population. Therefore, the (infinite dimensional) non-linearity arises in the recruitment term. First, we establish global existence of solutions and the principle of linearised stability for our model. Then, in our main result, we formulate simple conditions which guarantee the existence of non-trivial steady states of the model. Our method utilises an operator theoretic framework combined with a fixed-point approach. Finally in the last section, we establish a sufficient condition for the local asymptotic stability of the positive steady state. DOI Link: 10.1007/s00028-012-0142-6 Rights: Publisher policy allows this work to be made available in this repository. Published in Journal of Evolution Equations, Volume 12, Number 3 (2012), pp.495-512, DOI: 10.1007/s00028-012-0142-6 by Springer. The final publication is available at www.springerlink.com

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