Global Stability Analysis of SEIR Model with Holling Type II Incidence Function

A deterministic model for the transmission dynamics of a communicable disease is developed and rigorously analysed. The model, consisting of five mutually exclusive compartments representing the human dynamics, has a globally asymptotically stable disease-free equilibrium (DFE) whenever a certain epidemiological threshold, known as the basic reproduction number (ℛ 0), is less than unity; in such a case the endemic equilibrium does not exist. On the other hand, when the reproduction number is greater than unity, it is shown, using nonlinear Lyapunov function of Goh-Volterra type, in conjunction with the LaSalle's invariance principle, that the unique endemic equilibrium of the model is globally asymptotically stable under certain conditions. Furthermore, the disease is shown to be uniformly persistent whenever ℛ 0 > 1.

[1]  R. Ruth,et al.  Stability of dynamical systems , 1988 .

[2]  Abba B. Gumel,et al.  Global dynamics of a two-strain avian influenza model , 2009, Int. J. Comput. Math..

[3]  Zhidong Teng,et al.  On a Nonautonomous SEIRS Model in Epidemiology , 2007, Bulletin of mathematical biology.

[4]  C. Vargas‐De‐León,et al.  On the global stability of SIS, SIR and SIRS epidemic models with standard incidence , 2011 .

[5]  E O Powell,et al.  Theory of the chemostat. , 1965, Laboratory practice.

[6]  V. Nantulya,et al.  Uganda's HIV Prevention Success: The Role of Sexual Behavior Change and the National Response , 2006, AIDS and Behavior.

[7]  Zhidong Teng,et al.  Continuous and impulsive vaccination of SEIR epidemic models with saturation incidence rates , 2009, Math. Comput. Simul..

[8]  A. Gumel,et al.  Qualitative assessment of the role of public health education program on HIV transmission dynamics. , 2011, Mathematical medicine and biology : a journal of the IMA.

[9]  M. Li,et al.  Global dynamics of a SEIR model with varying total population size. , 1999, Mathematical Biosciences.

[10]  N. P. Bhatia,et al.  Dynamical Systems: Stability, Theory and Applications , 1967 .

[11]  Wendi Wang,et al.  Evolutionary dynamics of prey-predator systems with Holling type II. , 2007, Mathematical biosciences and engineering : MBE.

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

[13]  Alessandro Margheri,et al.  Persistence in seasonally forced epidemiological models , 2012, Journal of mathematical biology.

[14]  Anping Liu,et al.  Qualitative analysis of the SICR epidemic model with impulsive vaccinations , 2013 .

[15]  P. Kaye Infectious diseases of humans: Dynamics and control , 1993 .

[16]  La-di Wang,et al.  Global stability of an epidemic model with nonlinear incidence rate and differential infectivity , 2005, Appl. Math. Comput..

[17]  Tutut Herawan,et al.  Computational and mathematical methods in medicine. , 2006, Computational and mathematical methods in medicine.

[18]  Mohammad A. Safi,et al.  Mathematical analysis of a disease transmission model with quarantine, isolation and an imperfect vaccine , 2011, Comput. Math. Appl..

[19]  Edoardo Beretta,et al.  An SEIR epidemic model with constant latency time and infectious period. , 2011, Mathematical biosciences and engineering : MBE.

[20]  Zhien Ma,et al.  Global dynamics of an SEIR epidemic model with saturating contact rate. , 2003, Mathematical biosciences.

[21]  Abba B. Gumel,et al.  The effect of incidence functions on the dynamics of a quarantine/isolation model with time delay , 2010, Nonlinear Analysis: Real World Applications.

[22]  Mohammad A. Safi,et al.  Qualitative study of a quarantine/isolation model with multiple disease stages , 2011, Applied Mathematics and Computation.

[23]  R. May,et al.  Population Biology of Infectious Diseases , 1982, Dahlem Workshop Reports.

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

[25]  J. Velasco-Hernández,et al.  Competitive exclusion in a vector-host model for the dengue fever , 1997, Journal of mathematical biology.

[26]  Y. Iwasa,et al.  Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models , 1986, Journal of mathematical biology.

[27]  G. Serio,et al.  A generalization of the Kermack-McKendrick deterministic epidemic model☆ , 1978 .

[28]  Shigui Ruan,et al.  Uniform persistence and flows near a closed positively invariant set , 1994 .

[29]  H R Thieme,et al.  Epidemic and demographic interaction in the spread of potentially fatal diseases in growing populations. , 1992, Mathematical biosciences.

[30]  Shigui Ruan,et al.  Dynamical behavior of an epidemic model with a nonlinear incidence rate , 2003 .

[31]  Mohammad A. Safi,et al.  Threshold dynamics of a non-autonomous SEIRS model with quarantine and isolation , 2012, Theory in Biosciences.

[32]  Jian Zu,et al.  Evolutionary dynamics of prey-predator systems with Holling type II functional response. , 2007, Mathematical biosciences and engineering : MBE.

[33]  James Watmough,et al.  Role of incidence function in vaccine-induced backward bifurcation in some HIV models. , 2007, Mathematical biosciences.

[34]  Horst R. Thieme,et al.  Global asymptotic stability in epidemic models , 1983 .

[35]  Herbert W. Hethcote,et al.  Stability of the endemic equilibrium in epidemic models with subpopulations , 1985 .

[36]  Abba B. Gumel,et al.  Dynamically-consistent non-standard finite difference method for an epidemic model , 2011, Math. Comput. Model..

[37]  Zhen Jin,et al.  GLOBAL STABILITY OF A SEIR EPIDEMIC MODEL WITH INFECTIOUS FORCE IN LATENT, INFECTED AND IMMUNE PERIOD , 2005 .

[38]  Liancheng Wang,et al.  Global Dynamics of an SEIR Epidemic Model with Vertical Transmission , 2001, SIAM J. Appl. Math..

[39]  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.

[40]  Andrei Korobeinikov,et al.  Global Properties of SIR and SEIR Epidemic Models with Multiple Parallel Infectious Stages , 2009, Bulletin of mathematical biology.

[41]  Gauthier Sallet,et al.  Computation of threshold conditions for epidemiological models and global stability of the disease-free equilibrium (DFE). , 2008, Mathematical biosciences.

[42]  M. Monze,et al.  Declining HIV prevalence and risk behaviours in Zambia: evidence from surveillance and population-based surveys , 2001, AIDS.

[43]  Yasuhiro Takeuchi,et al.  Global analysis on delay epidemiological dynamic models with nonlinear incidence , 2011, Journal of mathematical biology.

[44]  Daniel Low-Beer,et al.  Behaviour and communication change in reducing HIV: is Uganda unique? , 2003, African journal of AIDS research : AJAR.