Literature DB >> 29744584

A structured population model with diffusion in structure space.

Andrea Pugliese1, Fabio Milner2.   

Abstract

A structured population model is described and analyzed, in which individual dynamics is stochastic. The model consists of a PDE of advection-diffusion type in the structure variable. The population may represent, for example, the density of infected individuals structured by pathogen density x, [Formula: see text]. The individuals with density [Formula: see text] are not infected, but rather susceptible or recovered. Their dynamics is described by an ODE with a source term that is the exact flux from the diffusion and advection as [Formula: see text]. Infection/reinfection is then modeled moving a fraction of these individuals into the infected class by distributing them in the structure variable through a probability density function. Existence of a global-in-time solution is proven, as well as a classical bifurcation result about equilibrium solutions: a net reproduction number [Formula: see text] is defined that separates the case of only the trivial equilibrium existing when [Formula: see text] from the existence of another-nontrivial-equilibrium when [Formula: see text]. Numerical simulation results are provided to show the stabilization towards the positive equilibrium when [Formula: see text] and towards the trivial one when [Formula: see text], result that is not proven analytically. Simulations are also provided to show the Allee effect that helps boost population sizes at low densities.

Entities:  

Keywords:  Diffusion; Stochastic model; Structured population model

Mesh:

Year:  2018        PMID: 29744584     DOI: 10.1007/s00285-018-1246-6

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  12 in total

1.  On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory.

Authors:  O Diekmann; M Gyllenberg; H Huang; M Kirkilionis; J A Metz; H R Thieme
Journal:  J Math Biol       Date:  2001-08       Impact factor: 2.259

2.  On the formulation of epidemic models (an appraisal of Kermack and McKendrick).

Authors:  D Breda; O Diekmann; W F de Graaf; A Pugliese; R Vermiglio
Journal:  J Biol Dyn       Date:  2012-08-17       Impact factor: 2.179

3.  Structured populations with diffusion in state space.

Authors:  Karl Peter Hadeler
Journal:  Math Biosci Eng       Date:  2010-01       Impact factor: 2.080

4.  Physiologically structured populations with diffusion and dynamic boundary conditions.

Authors:  József Z Farkas; Peter Hinow
Journal:  Math Biosci Eng       Date:  2011-04       Impact factor: 2.080

5.  Habitat Deterioration, Habitat Destruction, and Metapopulation Persistence in a Heterogenous Landscape

Authors: 
Journal:  Theor Popul Biol       Date:  1997-12       Impact factor: 1.570

6.  A two-phase within-host model for immune response and its application to serological profiles of pertussis.

Authors:  W F de Graaf; M E E Kretzschmar; P F M Teunis; O Diekmann
Journal:  Epidemics       Date:  2014-08-26       Impact factor: 4.396

7.  Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting.

Authors:  M V Barbarossa; G Röst
Journal:  J Math Biol       Date:  2015-04-02       Impact factor: 2.259

8.  The role of host population heterogeneity in the evolution of virulence.

Authors:  Andrea Pugliese
Journal:  J Biol Dyn       Date:  2011-03       Impact factor: 2.179

9.  Epidemic dynamics and host immune response: a nested approach.

Authors:  Alberto Gandolfi; Andrea Pugliese; Carmela Sinisgalli
Journal:  J Math Biol       Date:  2014-03-04       Impact factor: 2.259

10.  Waning and boosting: on the dynamics of immune status.

Authors:  O Diekmann; W F de Graaf; M E E Kretzschmar; P F M Teunis
Journal:  J Math Biol       Date:  2018-05-15       Impact factor: 2.259

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