Multiple Endemic Solutions in an Epidemic Hepatitis B Model without Vertical Transmission
- 1 School of Mathematics, CBPS, University of Nairobi, Nairobi, Kenya
Abstract
This paper examines the dynamics of Hepatitis B via a Susceptible Exposed Infectious Recovered (SEIR) type epidemic model. Previous studies have shown that Hepatitis B is characterized by multiple endemic solutions, a matter which may be of concern in developing control strategies. We identify the possible causes of multiple endemic solutions in a Hepatitis B model and conclude that the dependance of the probability of carriage development ( q (Λ)) on the force of infection (Λ) is the main reason for multiple endemicity. Other factors such as a large proportion of infants that are not vaccinated ( ω ) may also enhance the possibility of multiple endemicity. The role of carriers may also play a key role in the possibility of such complex dynamics, i.e. , when infectiousness of carriers-( α ) is high, the probability of existence of multiple endemic equilibrium solutions is increased. In our arguments, the traditional reproduction number R 0 < 1 which we define here by a function G (0) < 1 does not imply stability of disease-free equilibrium.
- Kuznetsov, A.Y. (2004) Elements of Applied Bifurcation Theory. 3rd Edition, Springer, Berlin. http://dx.doi.org/10.1007/978-1-4757-3978-7
- Guckenheimer, J. and Holmes, P. (1983) Nonlinear Oscillations, Dynamical Systems and Bifurcations of Vector Fields. Springer, Berlin. http://dx.doi.org/10.1007/978-1-4612-1140-2
- Edmunds, W.J., Medley, G.F. and Nokes, D.J. (1996) The Transmission Dynamics and Control of Hepatitis-B Virus in the Gambia. Statistics in Medicine, 15, 2215-2233. http://dx.doi.org/10.1002/(SICI)1097-0258(19961030)15:20 3.0.CO;2-2
- Medley, G.F., Lindop, N.A., Edmunds, W.J. and Nokes, D.J. (1996) Hepatitis-B Virus Endemicity: Heterogeneity, Catastrophic Dynamics and Control. Nature Medicine, 7, 916-624.
- Zhao, S., Xu, Z. and Lu, Y. (2000) A Mathematical Model of Hepatitis B Virus Transmission and Its Application for Vaccination Strategy in China. International Journal of Epidemiology, 29, 744-752. http://dx.doi.org/10.1093/ije/29.4.744
- Inaba, H. (2006) Mathematical Analysis of an Age Structured SIR Epidemic Model with Vertical Transmission. Discrete and Continuous Dynamical Systems, Series B, 6, 69-96. http://dx.doi.org/10.3934/dcdsb.2006.6.69
- Webb, G.F. (1985) Theory of Non-Linear Age Dependent Population Dynamics. Marcel Dekker Inc., New York.
- Pruess, J. and Schappacher, W. (1984) Semigroup Methods for Age-Structured Population Dynamics. In: Chatterji, S., Fuchstainer, B., Kulisch, U. and Liedl, R., Eds., Jarbuch überblicke Mathematik, Viewing Verlag.
- Thieme, H.R. (2003) Mathematics in Population Biology. Princeton University Press, New Jersey.
- Dietz, K. and Schlenze, D. (1985) Mathematical Models for Infectious Disease Statistics, a Celebration of Statistics. In: Atkinson, A.C. and Fienberg, S.E., Eds., The ISI Centenary Volume, Springer-Verlag, New York.
- Müller, J. (1998) Optimal Vaccination Patterns in Age-Structured Populations. SIAM Journal on Applied Mathematics, 59, 222-241. http://dx.doi.org/10.1137/S0036139995293270
- Grippenberg, G. (1983) On a Non-Linear Intergral Equation Modeling an Epidemic in an Age-Structured Population. Journal for Pure and Applied Mathematics, 341, 56-67.
- Inaba, H. (1990) Threshold and Stability Results for an Age-Structured Epidemic Model. Journal of Mathematical Biology, 28, 411-434. http://dx.doi.org/10.1007/BF00178326