Stochastic stability and impulsive vaccination of multicompartment nonlinear epidemic model with incidence rate

  • Laid Chahrazed University Freres Mentouri

Abstract

In this work, we consider a multicompartment nonlinear epidemic model with temporary immunity and a saturated incidence rate. N(t) at time t, this population is divide into seven sub-classes. N(t) = S(t) + E(t) + I(t) + I1(t) + I2(t) + I3(t) + Q(t). where S(t),E(t); I(t); I(t); I1(t),I2(t); I3(t) and Q(t) denote the sizes of the population susceptible to disease, exposed, infectious members and quarantine members with the possibility of infection through temporary immunity, respectively.The stability of a disease-free status equilibrium and the existence of endemic equilibrium determined by the ratio called the basic reproductive number. The multicompartment non linear epidemic model with saturated rate has been studied the stochastic stability of the free disease equilibrium under certain conditions, and obtain the conditions of global attractivity of the infection.

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Author Biography

Laid Chahrazed, University Freres Mentouri

Department of Mathematics, Faculty of Exact Sciences

References

A. Lahrouz, L. Omari, D. Kiouach. Global analysis of a deterministic and stochastic nonlinear SIRS epidemic model. Nonlinear Analysis: Modelling and Control, Vol. 16, No. 1, pp 59–76, (2011). DOI: https://doi.org/10.15388/NA.16.1.14115

Anderson R. M and Medley R M and Johnson. A. K. A Preliminary Study of the Transmission Dynamics of the Human Immunodeficiency Virus (HIV), the Causative Agent of AIDS. IMA. J. Math. Appl. Med. Biol 3, pp. 229-263, (1986). DOI: https://doi.org/10.1093/imammb/3.4.229

Abta A and Kaddar A and Talibi H. A.Global Stability for Delay SIR and SEIR Epidemic Models with Saturated Incidence Rates. Electronic Journal of Differential Equations, 23, pp. 1-13, (2012).

Bailley. N.T.J-1.The Mathematical Theory of Infection Diseases and its Application. Applied Statistics, 26, N1, pp. 85-87, (1977). DOI: https://doi.org/10.2307/2346882

Batiha, M. S. M. Noorani and I. Hashim. Numerical solutions of the nonlinear integro-differential equations, Int. J. Open Probl. Compt. Math, pp. 34-42,(2008).

Billard. L .A Stochastic General Epidemic in m Sub-Population. J. Appl. Prob. 13, pp. 567-572, (1976). DOI: https://doi.org/10.1017/S0021900200104115

Dongmei Xio and Shigui Ruan. Global analysis of an epidemic model with non monotone incidence rate. Mathematical Biosciences 208, pp 419-429, (2007). DOI: https://doi.org/10.1016/j.mbs.2006.09.025

James M. Hyman. Jia Li. Epidemic Models with differential susceptibility and staged progression and their dynamics. Mathematical Biosciences and engineering. Volume 6, Number 2, April , pp. 321–332, (2009). DOI: https://doi.org/10.3934/mbe.2009.6.321

Hamid El Maroufy, A dil Lahrouz and PGL Leach. Qualitative Behaviour of a Model of an SIRS Epidemic. Applied Mathematics & Information Sciences. 5 (2) , pp 220-238, (2011).

Jinliang W, Xinxin Tian. Global Stabilty of a Delay Differential Equation of Hepatitis B Virus Infection with Immune Response. Electronic Journal of Differential Equations, 94, pp.1-11, (2013).

Jin. Z, Zhien. M and Maoan. H. Global stability of an SIRS epidemic model with delay. Acta Matimatica Scientia. 26. B, pp. 291-306, (2006). DOI: https://doi.org/10.1016/S0252-9602(06)60051-9

Lakshmikantham, V., Bainov, D.D., Simeonov, P.S. Theory of Impulsive Differential Equations. World Scientific, Singapore.(1989). DOI: https://doi.org/10.1142/0906

Luo Q and Mao X. Stochastic population dynamics under regime switching. J. Math. Anal. Appl.334, pp. 69-84, (2007). DOI: https://doi.org/10.1016/j.jmaa.2006.12.032

Naresh R and Omar S. An epidemic model for the transmission dynamics of HIV/AIDS and another infection. International Journal of Mathematical Archive-1(3, pp. 68-72), (2010).

P. LaSalle and S. Lefschetz. Stability by Liapunov’s direct method. Academic Press. (1961).

ksendal. B. Stochastic Differential Equations an Introduction with Applications, 5th ed. Springer, (2000).

Qin Zou, Shujing Gao, Qi Zhong. Pulse Vaccination Strategy in an Epidemic Model with Time Delays and Nonlinear Incidence.Advanced Studies in Biology, Vol. 1, no. 7, 307 - 321, (2009).

Ray Waston. On the Size Distribution for Some Epidemic Models. J. Appl. Prob.17, pp. 912-921, (1980). DOI: https://doi.org/10.1017/S0021900200097205

Robert N and May. Population Biology of infectious diseases I. International centre of theoritical physics, pp. 1-9, (1982).

Ruoyan Sun. Global stability of the endemic equilibrium of multi group SIR models with nonlinear incidence. Computers and Mathematics with Applications 60, pp. 2286-2291, (2010). DOI: https://doi.org/10.1016/j.camwa.2010.08.020

Sarah A, Farida M, Muna A. Stability Analysis of an HIV/AIDS Epidemic. International Mathematical Forum. Vol 6, no 66.pp 3251-3273, (2011).

Shujing Gaoa,b, Lansun Chenc, Zhidong Tenga. Impulsive Vaccination of an SEIRS Model with Time Delay and Varying Total Population Size.Bulletin of Mathematical Biology 69: 731–745, (2007). DOI: https://doi.org/10.1007/s11538-006-9149-x

S. Pathak, A. Maiti, G.P. Samanta. Rich dynamics of an SIR epidemic model. Nonlinear Analysis: Modelling and Control„ Vol. 15, No. 1, 71–81 2010. DOI: https://doi.org/10.15388/NA.2010.15.1.14365

S. Gao, L. Chen, J.J. Nieto, A. Torres, Analysis of a delayed epi- demic model with pulse vaccination and saturation incidence, Vaccine, 24, 6037 - 6045, (2006). DOI: https://doi.org/10.1016/j.vaccine.2006.05.018

Volodymyr Makarov, Denis Dragunov. A numeric-analytical method for solving the cauchy problem for ordinary differential equations. Applied Mathematics and Computation, pp. 1-26, (2010).

W. Ma, Y. Takeuchi, T. Hara and E. Beretta. Permanence of are SIR epidemic model with distributed time delays. Tohoku Math. J. 54, pp. 581-591, (2002). DOI: https://doi.org/10.2748/tmj/1113247650

W. Wang, Global. Behavior of an SEIR epidemic model with time delay. Appl. Math. Letters.15, pp. 423-428, (2002). DOI: https://doi.org/10.1016/S0893-9659(01)00153-7

Wen L and Yang X. Global stability of a delayed SIRS model with temporary immunity. Chaos, Solitons and Fractals 38, pp. 221-226, (2008). DOI: https://doi.org/10.1016/j.chaos.2006.11.010

Xiao, L Chen and F. Ven den Bosch. Dynamical behavior for a stage-structured SIR infectious disease model. Nonlinear Anal. Real World Appl 3, pp.175-190, (2002). DOI: https://doi.org/10.1016/S1468-1218(01)00021-9

Xia Wang, Youde Tao , Xinyu Song. Pulse vaccination on SEIR epidemic model with nonlinear incidence rate. Applied Mathematics and Computation. pp.398-404, (2009). DOI: https://doi.org/10.1016/j.amc.2009.01.004

Y. Kuang. Delay Differential Equation with Application in Population Dynamics, Academic Press, New York, (1993).

Y. Xiao, L. Chen. Modelling and analysis of a predator-prey model with disease in the prey, Math. Biosci, 171, 59 - 82, (2001). DOI: https://doi.org/10.1016/S0025-5564(01)00049-9

Z. Ma, J. Liu and J. Li. Stability analysis for differential infectivity epidemic models. Nonlinear Anal. Real World Appl 4, pp. 841-856, (2003). DOI: https://doi.org/10.1016/S1468-1218(03)00019-1

Zhang F and Zhen Li and Zhang F. Global stability of an SIR epidemic model with constant infectious period. Applied Mathematics and Computation 199, pp.285-291, (2008). DOI: https://doi.org/10.1016/j.amc.2007.09.053

Published
2022-12-23
Section
Articles