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Mathematical Analysis of a Large Scale Vector SIS Malaria Model in a Patchy Environment
Author(s) -
Josephine Wairimu,
Gauthier Sallet,
Wandera Ogana
Publication year - 2014
Publication title -
applied mathematics
Language(s) - English
Resource type - Journals
eISSN - 2152-7393
pISSN - 2152-7385
DOI - 10.4236/am.2014.513185
Subject(s) - malaria , stability (learning theory) , basic reproduction number , scale (ratio) , stability theory , reproduction , mathematics , vector (molecular biology) , mathematical economics , econometrics , computer science , geography , ecology , biology , demography , physics , population , sociology , cartography , immunology , recombinant dna , biochemistry , nonlinear system , quantum mechanics , machine learning , gene
International audienceWe answer the stability question of the large scale SIS model describing transmission of highland malaria in Western Kenya in a patchy environment, formulated in [1]. There are two equilibrium states and their stability depends on the basic reproduction number, 0 [2]. If 0 1 ≤ , the dis-ease-free steady solution is globally asymptotically stable and the disease always dies out. If 0 1 > , there exists a unique endemic equilibrium which is globally stable and the disease persists. Application is done on data from Western Kenya. The age structure reduces the level of infection and the populations settle to the equilibrium faster than in the model without age structure

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