Exogenous re-infection does not always cause backward bifurcation in TB transmission dynamics
暂无分享,去创建一个
[1] Benjamin H Singer,et al. Influence of backward bifurcation on interpretation of r(0) in a model of epidemic tuberculosis with reinfection. , 2004, Mathematical biosciences and engineering : MBE.
[2] O. Diekmann,et al. On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations , 1990, Journal of mathematical biology.
[3] Baojun Song,et al. Mathematical analysis of the transmission dynamics of HIV/TB coinfection in the presence of treatment. , 2008, Mathematical biosciences and engineering : MBE.
[4] Herbert W. Hethcote,et al. The Mathematics of Infectious Diseases , 2000, SIAM Rev..
[5] C. Castillo-Chavez,et al. A model for tuberculosis with exogenous reinfection. , 2000, Theoretical population biology.
[6] R. May,et al. Population biology of infectious diseases: Part II , 1979, Nature.
[7] Herbert W. Hethcote,et al. Stability of the endemic equilibrium in epidemic models with subpopulations , 1985 .
[8] Abba B. Gumel,et al. Causes of backward bifurcations in some epidemiological models , 2012 .
[9] C. Castillo-Chavez,et al. To treat or not to treat: the case of tuberculosis , 1997, Journal of mathematical biology.
[10] Baojun Song,et al. Existence of multiple-stable equilibria for a multi-drug-resistant model of Mycobacterium tuberculosis. , 2008, Mathematical biosciences and engineering : MBE.
[11] J. Watmough,et al. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. , 2002, Mathematical biosciences.
[12] Horst R. Thieme,et al. Mathematics in Population Biology , 2003 .
[13] Carlos Castillo-Chavez,et al. Dynamical models of tuberculosis and their applications. , 2004, Mathematical biosciences and engineering : MBE.
[14] S. O. ADEWALE,et al. MATHEMATICAL ANALYSIS OF A TB TRANSMISSION MODEL WITH DOTS , .
[15] Marc Lipsitch,et al. Multiple equilibria: tuberculosis transmission require unrealistic assumptions. , 2003, Theoretical population biology.
[16] S. Blower,et al. Control Strategies for Tuberculosis Epidemics: New Models for Old Problems , 1996, Science.
[17] Carlos Castillo-Chavez,et al. Backwards bifurcations and catastrophe in simple models of fatal diseases , 1998, Journal of mathematical biology.
[18] S. Blower,et al. The intrinsic transmission dynamics of tuberculosis epidemics , 1995, Nature Medicine.