title: Analysis of an SEIRS epidemic model with two delays.
abstract: A disease transmission model of SEIRS type with exponential demographic structure is formulated. All newborns are assumed susceptible, there is a natural death rate constant, and an excess death rate constant for infective individuals. Latent and immune periods are assumed to be constants, and the force of infection is assumed to be of the standard form, namely proportional to I(t)/N(t) where N(t) is the total (variable) population size and I(t) is the size of the infective population. The model consists of a set of integro-differential equations. Stability of the disease free proportion equilibrium, and existence, uniqueness, and stability of an endemic proportion equilibrium, are investigated. The stability results are stated in terms of a key threshold parameter. More detailed analyses are given for two cases, the SEIS model (with no immune period), and the SIRS model (with no latent period). Several threshold parameters quantify the two ways that the disease can be controlled, by forcing the number or the proportion of infectives to zero.
authors.affiliation: Pomona College, Claremont, CA 91711-6348, USA.
authors.forename: K L
authors.initials: KL
authors.lastname: Cooke
authors.forename: P
authors.initials: P
authors.lastname: van den Driessche
mesh_terms: D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D018562:Disease Transmission, Infectious / Q000706:statistics & numerical data*; D006801:Humans; D007109:Immunity; D007231:Infant, Newborn; D008433:Mathematics; D008954:Models, Biological; D013997:Time Factors