Periodicity in an epidemic model with a generalized non-linear incidence.

We develop and analyze a simple SIV epidemic model including susceptible, infected and perfectly vaccinated classes, with a generalized non-linear incidence rate subject only to a few general conditions. These conditions are satisfied by many models appearing in the literature. The detailed dynamics analysis of the model, using the Poincaré index theory, shows that non-linearity of the incidence rate leads to vital dynamics, such as bistability and periodicity, without seasonal forcing or being cyclic. Furthermore, it is shown that the basic reproductive number is independent of the functional form of the non-linear incidence rate. Under certain, well-defined conditions, the model undergoes a Hopf bifurcation. Using the normal form of the model, the first Lyapunov coefficient is computed to determine the various types of Hopf bifurcation the model undergoes. These general results are applied to two examples: unbounded and saturated contact rates; in both cases, forward or backward Hopf bifurcations occur for two distinct values of the contact parameter. It is also shown that the model may undergo a subcritical Hopf bifurcation leading to the appearance of two concentric limit cycles. The results are illustrated by numerical simulations with realistic model parameters estimated for some infectious diseases of childhood.

[1]  H. Hethcote,et al.  Some epidemiological models with nonlinear incidence , 1991, Journal of mathematical biology.

[2]  V. S. Ivlev,et al.  Experimental ecology of the feeding of fishes , 1962 .

[3]  S. Levin Lectu re Notes in Biomathematics , 1983 .

[4]  M. Keeling,et al.  The Interplay between Determinism and Stochasticity in Childhood Diseases , 2002, The American Naturalist.

[5]  D. Earn,et al.  A simple model for complex dynamical transitions in epidemics. , 2000, Science.

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

[7]  Seyed M. Moghadas,et al.  A qualitative study of a vaccination model with non-linear incidence , 2003, Appl. Math. Comput..

[8]  J. Velasco-Hernández,et al.  A simple vaccination model with multiple endemic states. , 2000, Mathematical biosciences.

[9]  B T Grenfell,et al.  Spatial heterogeneity, nonlinear dynamics and chaos in infectious diseases , 1995, Statistical methods in medical research.

[10]  N. Gay,et al.  Measles vaccine efficacy during an epidemic in 1998 in the highly vaccinated population of Poland. , 2003, Vaccine.

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

[12]  S. Levin,et al.  Dynamical behavior of epidemiological models with nonlinear incidence rates , 1987, Journal of mathematical biology.

[13]  Seyed M. Moghadas,et al.  Global stability of a two-stage epidemic model with generalized non-linear incidence , 2002, Math. Comput. Simul..

[14]  Louis J. Gross,et al.  Applied Mathematical Ecology , 1990 .

[15]  D Greenhalgh,et al.  A mathematical treatment of AIDS and condom use. , 2001, IMA journal of mathematics applied in medicine and biology.

[16]  Paul Glendinning,et al.  Stability, instability and chaos , by Paul Glendinning. Pp. 402. £45. 1994. ISBN 0 521 41553 5 (hardback); £17.95 ISBN 0 521 42566 2 (paperback) (Cambridge). , 1997, The Mathematical Gazette.

[17]  J. Yorke,et al.  Recurrent outbreaks of measles, chickenpox and mumps. II. Systematic differences in contact rates and stochastic effects. , 1973, American journal of epidemiology.

[18]  Y. Iwasa,et al.  Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models , 1986, Journal of Mathematical Biology.

[19]  A. J. Hall Infectious diseases of humans: R. M. Anderson & R. M. May. Oxford etc.: Oxford University Press, 1991. viii + 757 pp. Price £50. ISBN 0-19-854599-1 , 1992 .

[20]  Seyed M. Moghadas,et al.  Modelling the effect of imperfect vaccines on disease epidemiology , 2004 .

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

[22]  Edward H. Twizell,et al.  An unconditionally convergent discretization of the SEIR model , 2002, Math. Comput. Simul..

[23]  James Watmough,et al.  A simple SIS epidemic model with a backward bifurcation , 2000, Journal of mathematical biology.

[24]  B. Bolker,et al.  Chaos and biological complexity in measles dynamics , 1993, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[25]  B. Hassard,et al.  Theory and applications of Hopf bifurcation , 1981 .

[26]  S. M. Moghadas,et al.  Analysis of an epidemic model with bistable equilibria using the Poincaré index , 2004, Appl. Math. Comput..

[27]  S. Levin,et al.  Dynamics of influenza A drift: the linear three-strain model. , 1999, Mathematical biosciences.

[28]  C. Kribs-Zaleta Center manifolds and normal forms in epidemic models , 2002 .

[29]  S. Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos , 1989 .

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

[31]  Pejman Rohani,et al.  Seasonnally forced disease dynamics explored as switching between attractors , 2001 .

[32]  Almut Scherer,et al.  Mathematical models of vaccination. , 2002, British medical bulletin.