Mathematical analysis of two-patch model for the dynamical transmission of tuberculosis

Abstract The spread of tuberculosis is studied through a two-patch epidemiological model. We assume that susceptible individuals can migrate between the two patches, but not infective individuals. We compute the basic reproduction number R 0 , the disease-free equilibrium, two boundaries endemic equilibria which we define as the existence of the disease in one sub-population while the disease dies out in other sub-population, and the endemic equilibrium when the disease persists in the two sub-populations for specific conditions. We also determine stability criteria for the disease-free equilibrium, boundaries endemic equilibria and the endemic equilibrium. Numerical results are provided to illustrate theoretical results.

[1]  Denise Kirschner,et al.  Comparing epidemic tuberculosis in demographically distinct heterogeneous populations. , 2002, Mathematical biosciences.

[2]  Janice Hopkins Tanne,et al.  Timebomb:The Global Epidemic of Multi-Drug Resistant Tuberculosis , 2001 .

[3]  Christopher Dye,et al.  Global burden of tuberculosis , 1999 .

[4]  C. Dye,et al.  Will tuberculosis become resistant to all antibiotics? , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[5]  A. Gumel,et al.  Analysis of a model for transmission dynamics of TB , 2002 .

[6]  F. Fairman Introduction to dynamic systems: Theory, models and applications , 1979, Proceedings of the IEEE.

[7]  Herbert W. Hethcote,et al.  The Mathematics of Infectious Diseases , 2000, SIAM Rev..

[8]  Samuel Bowong,et al.  Global stability analysis for SEIS models with n latent classes. , 2008, Mathematical biosciences and engineering : MBE.

[9]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.

[10]  G. Sallet,et al.  Global asymptotic stability for the disease free equilibrium for epidemiological models , 2005 .

[11]  P van den Driessche,et al.  Backward bifurcation in epidemic control. , 1997, Mathematical biosciences.

[12]  G. Sallet,et al.  Multi-compartment models , 2007 .

[13]  B. Bloom,et al.  Tuberculosis Pathogenesis, Protection, and Control , 1994 .

[14]  Jean-Claude Kamgang,et al.  Global Analysis of New Malaria Intrahost Models with a Competitive Exclusion Principle , 2011, SIAM J. Appl. Math..

[15]  C. Castillo-Chavez,et al.  A model for tuberculosis with exogenous reinfection. , 2000, Theoretical population biology.

[16]  Philip K Maini,et al.  A lyapunov function and global properties for sir and seir epidemiological models with nonlinear incidence. , 2004, Mathematical biosciences and engineering : MBE.

[17]  C. McCluskey,et al.  Lyapunov functions for tuberculosis models with fast and slow progression. , 2006, Mathematical biosciences and engineering : MBE.

[18]  R. Shafer,et al.  Exogenous reinfection with multidrug-resistant Mycobacterium tuberculosis in patients with advanced HIV infection. , 1993, The New England journal of medicine.

[19]  Abba B. Gumel,et al.  Mathematical analysis of the role of repeated exposure on malaria transmission dynamics , 2008 .

[20]  J. Gerberding,et al.  Understanding, predicting and controlling the emergence of drug-resistant tuberculosis: a theoretical framework , 1998, Journal of Molecular Medicine.

[21]  J. Watmough,et al.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. , 2002, Mathematical biosciences.

[22]  C. Castillo-Chavez,et al.  To treat or not to treat: the case of tuberculosis , 1997, Journal of mathematical biology.

[23]  J. P. Lasalle Stability theory for ordinary differential equations. , 1968 .

[24]  B G Williams,et al.  Criteria for the control of drug-resistant tuberculosis. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[25]  G. Sallet,et al.  General models of host-parasite systems. Global analysis , 2007 .

[26]  Andrei Korobeinikov,et al.  Lyapunov functions and global properties for SEIR and SEIS epidemic models. , 2004, Mathematical medicine and biology : a journal of the IMA.

[27]  G A Colditz,et al.  Evaluation of tuberculosis control policies using computer simulation. , 1996, JAMA.

[28]  Robert J. Plemmons,et al.  Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.

[29]  Julien Arino,et al.  Quarantine in a multi-species epidemic model with spatial dynamics. , 2007, Mathematical biosciences.

[30]  Carlos Castillo-Chavez,et al.  A model for TB with exogenous reinfection , 1999 .

[31]  Denise Kirschner,et al.  On treatment of tuberculosis in heterogeneous populations. , 2003, Journal of theoretical biology.

[32]  K. Brudney,et al.  Resurgent Tuberculosis in New York City: Human Immunodeficiency Virus, Homelessness, and the Decline of Tuberculosis Control Programs , 1991, The American review of respiratory disease.

[33]  G. Sallet,et al.  Epidemiological Models and Lyapunov Functions , 2007 .

[34]  Samuel Bowong,et al.  Mathematical analysis of a tuberculosis model with differential infectivity , 2009 .

[35]  S. Busenberg,et al.  Analysis of a disease transmission model in a population with varying size , 1990, Journal of mathematical biology.

[36]  Christopher J. L. Murray,et al.  Tuberculosis: Commentary on a Reemergent Killer , 1992, Science.

[37]  J. P. Lasalle The stability of dynamical systems , 1976 .

[38]  G. P. Szegö,et al.  Stability theory of dynamical systems , 1970 .

[39]  O Afonso,et al.  Exogenous reinfection with tuberculosis on a European island with a moderate incidence of disease. , 2001, American journal of respiratory and critical care medicine.

[40]  John A. Jacquez,et al.  Qualitative Theory of Compartmental Systems , 1993, SIAM Rev..

[41]  John A. Jacquez,et al.  Reproduction numbers and the stability of equilibria of SI models for heterogeneous populations , 1992 .

[42]  Carlos Castillo-Chavez,et al.  Global Dynamics of Tuberculosis Models with Density Dependent Demography , 2002 .

[43]  Winston Garira,et al.  Mathematical analysis of a model for HIV-malaria co-infection. , 2009, Mathematical biosciences and engineering : MBE.

[44]  Carlos Castillo-Chavez,et al.  On the Role of Variable Latent Periods in Mathematical Models for Tuberculosis , 2001 .

[45]  K. Hadeler,et al.  A core group model for disease transmission. , 1995, Mathematical biosciences.

[46]  Christopher Dye,et al.  Prospects for worldwide tuberculosis control under the WHO DOTS strategy , 1998, The Lancet.

[47]  C. Dye Tuberculosis 2000-2010: control, but not elimination. , 2000, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[48]  Alun L Lloyd,et al.  Spatiotemporal dynamics of epidemics: synchrony in metapopulation models. , 2004, Mathematical biosciences.

[49]  D. van Soolingen,et al.  Use of DNA fingerprinting in international source case finding during a large outbreak of tuberculosis in The Netherlands. , 1997, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[50]  J. Yorke,et al.  A Deterministic Model for Gonorrhea in a Nonhomogeneous Population , 1976 .