Dynamical Behaviour of Dengue: An SIR Epidemic Model

In this chapter, we have demonstrated the dynamical behaviour of dengue using an SIR epidemic model, spanning both distributed and discrete time delays. The existence of boundary and interior equilibrium points has been studied. Furthermore, we have discussed the local stability of the equilibrium points. The disease-free equilibrium point is locally asymptotically stable if R0 β1 + β2e−bτ and unstable for R0 > 1. The endemic equilibrium point is locally asymptotically stable for [0,τ′), and it undergoes Hopf bifurcation at τ = τ′. The direction and stability of Hopf bifurcation have been established using the normal form theory and the centre manifold theorem, and lastly the analytical results are verified numerically, and further, sensitivity analysis is conducted to show how the periodic solution of the system is dependent upon delay, rate of infection, and birth and death rate.

[1]  Mohammed Derouich,et al.  Dengue fever: Mathematical modelling and computer simulation , 2006, Appl. Math. Comput..

[2]  S. Halstead,et al.  Dengue , 1872, The Lancet.

[3]  Yulin Liu,et al.  Dynamical Analysis of SIR Epidemic Models with Distributed Delay , 2013, J. Appl. Math..

[4]  Niel Hens,et al.  A simple periodic-forced model for dengue fitted to incidence data in Singapore. , 2013, Mathematical biosciences.

[5]  N. Macdonald Time lags in biological models , 1978 .

[6]  Xiang Feng,et al.  Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization , 2013, J. Appl. Math..

[7]  C. Favier,et al.  Early determination of the reproductive number for vector‐borne diseases: the case of dengue in Brazil , 2006, Tropical medicine & international health : TM & IH.

[8]  Xinzhu Meng,et al.  GLOBAL DYNAMICAL BEHAVIORS FOR AN SIR EPIDEMIC MODEL WITH TIME DELAY AND PULSE VACCINATION , 2008 .

[9]  Shilu Tong,et al.  Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems , 2012, PLoS neglected tropical diseases.

[10]  Mayank Singh Chauhan,et al.  A Comprehensive Study on the 2012 Dengue Fever Outbreak in Kolkata, India , 2013 .

[11]  Chunqing Wu,et al.  Dengue transmission: mathematical model with discrete time delays and estimation of the reproduction number , 2019, Journal of biological dynamics.

[12]  Wen Zhang,et al.  Bifurcation analysis for a ratio-dependent predator-prey system with multiple delays , 2016 .

[13]  L. Illusie,et al.  Odds and Ends on Finite Group Actions and Traces , 2010, 1001.1982.

[14]  Qin Gao,et al.  Stability and Hopf bifurcations in a business cycle model with delay , 2009, Appl. Math. Comput..

[15]  J. L. Boldrini,et al.  An analysis of a mathematical model describing the geographic spread of dengue disease , 2016 .

[16]  W. O. Kermack,et al.  Contributions to the mathematical theory of epidemics—I , 1991, Bulletin of mathematical biology.

[17]  Nivedita Gupta,et al.  Dengue in India , 2012, The Indian journal of medical research.

[18]  Cameron P. Simmons,et al.  Current concepts: Dengue , 2012 .