z-logo
open-access-imgOpen Access
Modeling diseases with latency and relapse
Author(s) -
P. van den Driessche,
Lin Wang,
Xingfu Zou
Publication year - 2007
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2007.4.205
Subject(s) - stability theory , tuberculosis , basic reproduction number , extinction (optical mineralogy) , mathematics , disease , population , bovine tuberculosis , latency (audio) , population model , biology , statistics , computer science , physics , mycobacterium tuberculosis , medicine , environmental health , paleontology , mycobacterium bovis , telecommunications , pathology , quantum mechanics , nonlinear system
A general mathematical model for a disease with an exposed (la tent) period and relapse is proposed. Such a model is appropriate for tuberculosis, including bovine tuberculosis in cattle and wildlife, and for herpes. For this model with a general probability of remaining in the exposed class, the basic reproduction number R(0) is identified and its threshold property is discussed. In particular, the disease-free equilibrium is proved to be globally asymptotically stable if R(0) < 1. If the probability of remaining in the exposed class is assumed to be negatively exponentially distributed, then R(0) = 1 is a sharp threshold between disease extinction and endemic disease. A delay differential equation system is obtained if the probability function is assumed to be a step-function. For this system, the endemic equilibrium is locally asymptotically stable if R(0) > 1, and the disease is shown to be uniformly persistent with the infective population size either approaching or oscillating about the endemic level. Numerical simulations (for parameters appropriate for bovine tuberculosis in cattle) with R(0) > 1 indicate that solutions tend to this endemic state.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom