title: A mathematical model for Chagas disease with infection-age-dependent infectivity.
abstract: In this paper we develop a mathematical model for Chagas disease with infection-age-dependent infectivity. The effects of vector and blood transfusion transmission are considered, and the infected population is structured by the infection age (the time elapsed from infection). The authors identify the basic reproduction ratio R0 and show that the disease can invade into the susceptible population and unique endemic steady state exists if R0 > 1, whereas the disease dies out if R0 is small enough. We show that depending on parameters, backward bifurcation of endemic steady state can occur, so even if R0 < 1, there could exist endemic steady states. We also discuss local and global stability of steady states.
authors.affiliation: Department of Mathematical Sciences, University of Tokyo, 3-8-1 Komaba Meguro-ku, Tokyo 153-8914, Japan. inaba@ms.u-toyko.ac.jp
authors.forename: Hisashi
authors.initials: H
authors.lastname: Inaba
authors.forename: Hisashi
authors.initials: H
authors.lastname: Sekine
mesh_terms: D000367:Age Factors; D000818:Animals; D014355:Chagas Disease / Q000453:epidemiology / Q000469:parasitology / Q000635:transmission*; D004196:Disease Outbreaks; D018450:Disease Progression; D004812:Epidemiologic Methods; D006801:Humans; D007303:Insect Vectors / Q000469:parasitology; D008954:Models, Biological; D011156:Population Density