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Global dynamics of a SEIR model with varying total population size
Authors:Michael Y Li  John R Graef  Liancheng Wang  Jnos Karsai
Institution:Department of Mathematics and Statistics, Mississippi State University 39762, USA. mli@math.ms-state.edu
Abstract:A SEIR model for the transmission of an infectious disease that spreads in a population through direct contact of the hosts is studied. The force of infection is of proportionate mixing type. A threshold sigma is identified which determines the outcome of the disease; if sigma < or = 1, the infected fraction of the population disappears so the disease dies out, while of sigma > 1, the infected fraction persists and a unique endemic equilibrium state is shown, under a mild restriction on the parameters, to be globally asymptotically stable in the interior of the feasible region. Two other threshold parameters sigma' and sigma are also identified; they determine the dynamics of the population sizes in the cases when the disease dies out and when it is endemic, respectively.
Keywords:Epidemic models  Endemic equilibrium  Latent period  Global stability  Compound matrices
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