Stability and optimal control analysis of Zika virus with saturated incidence rate
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DOI:
https://doi.org/10.26637/MJM0802/0004Abstract
Stability analysis of a non-linear mathematical model is studied and analyzed the transmission dynamics of the Zika virus disease. In our model, the human to human sexual transmission of Zika virus is modeled by considering the saturated incidence rate. This assumption is reasonable as it incorporates the behavioral change of the susceptible individuals and the crowding effect of the infective individuals. The equilibria of the proposed model are obtained and the basic reproduction number $\left(R_0\right)$ is computed. The model also exhibits backward bifurcation where the stable disease-free equilibrium coexists with a stable endemic equilibrium, which suggests that the $R_0<1$ is not enough to eradicate the disease. The sensitivity analysis of the parameters of the basic reproduction number of the model is presented. The sensitivity analysis is performed to distinguish the main variables that affect the basic reproduction number, which can be regulated to control the transmission dynamics of the Zika. Finally, the optimal control strategies are incorporated into the model and performed a numerical simulation to support our analytical findings.
Keywords:
Zika virus, basic reproduction number, bifurcation analysis, sensitivity AnalysisMathematics Subject Classification:
Mathematics- Pages: 331-342
- Date Published: 01-04-2020
- Vol. 8 No. 02 (2020): Malaya Journal of Matematik (MJM)
S. Ahmadi, N. F. Bempong, O. De Santis, D. Sheath, The Role of Digital Technologies in Tackling The Zika Outbreak: A Scoping Review, J Public Health Emerg, 20 (2) (2018), 1-15.
F. B. Agusto, S. Bewick and W. F.Fagan, Mathematical Model of Zika Virus with Vertical Transmission, Infectious Disease Modelling, KeAi, 2(2)(2017), 244-267.
E. Bonyah, K. O. Okosun, Mathematical Modeling of Zika Virus, Asian Pac J Trop Dis, 6 (9) (2016), 673-679.
B. Buonomo, D. Lacitignola, on the Backward Bifurcation of a Vaccination Model with Nonlinear Incidence, Nonlinear Analysis: Modelling and Control, 16 (1) (2011) 30-46
Centers for Disease Controland Prevention (CDC), $C D C$ Emergency Operations Center Moves to Highest Level of Activation for Zika Response, Febraury 3, 2016.
C. Castillo-Chavez, Z. Feng and W. Huang, On the Computation of $R_0$ and Its Role on Global Stability, Mathematical Approaches for For Emerging and Reemerging Infectious Diseases,(2002), 229-250.
C. Castillo-Chavez, B. Song, Dynamical Model of Tuber-culosis and Their Applications, Math Biosci, 1 (2) (2004), 361-404.
F. Corsica, Zika Virus Transmission From French Polynesia to Brazil, Emerg. Infect. Diseases 21 (10) (2015), 68-87
P. V. Driessche and J. Watmough, Reproduction Numbers and Sub-Threshold Endemic Equilibria for Compartmental Models of Disease Transmission, Mathematical Biosciences, 180 (2002), 29-48.
G. Daozhou, L. Yijun, H. Daihai, C. P. Travis, K. Yang, C. Gerardo and R. Shigui, Prevention and Control of Zika as a Mosquito-Borne and Sexually Transmitted Disease: A Mathematical Modeling Analysis, Scientific Reports, 6, 28070, (2016), 1-10.
N. K. Goswami, A. K. Srivastav, M. Ghosh and B. Shanmukha, Mathematical Modeling of Zika Virus Disease with Nonlinear Incidence and Optimal Control, Journal of Physics: Conf. Series, 1000 (2018), 012114, 1-17
A. Kaddar, Stability Analysis in A Delayed SIR Epidemic Model with A Saturated Incidence Rate,Nonlinear Analysis: Modelling and Control, 15 (3) (2010), 299-306.
V. Lakshmikantham, S. Leela, A. A. Martynyuk, Stability Analysis of Nonlinear Systems, Marcel Dekker Inc., (1989), 37-339.
W. Liu, S. A. Levin, Y. Iwasa, Influence of Nonlinear Incidence Rates Upon The Behavior of SIRS Epidemiological Models, Journal of Mathematical biology, 23(2) (1986), 187-204.
S. Lenhart, J. T. Workman, Optimal Control Applied to Biological Models, CRC Press ,(2007),30-272.
V. M. Moreno, B. Espinoza, D. Bichara, S. A.Holechek, C. Castillo Chavez, Role of Short-term Dispersal on The Dynamics of Zika Virus in an Extreme Idealized Environment, Infect Dis Model,2 (2016), 1-14.
E. Oehler, E. Fournier, I. Leparc-Goffart, L Philippe, S Cubizolle, C Sookhareea, S Lastere, F Ghawche, Increase in Cases of Guillain-Barré Syndrome During a Chikungunya Outbreak, French Polynesia, 2014 to 2015, Eurosurveillance, 20 (48) (2015), 1-2.
E. Oehler, L. Watrin, P. Larre, I Leparc-Goffart, S Lastere, F Baudouin, H P Mallet, D Musso, F Ghawche, Zika Virus Infection Complicated by Guillain-Barré Syndrome-case Report, French Polynesia, Euro Surveill, 19 (2014), 20720, 1-3.
L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishchenko, The Mathematical Theory of Optimal Processes, Inter Science Publishers, (1962), 21-186.
S. Ruan, W. Wang, Dynamical Behavior of an Epidemic Model with a Nonlinear Incidence Rate, Journal of Differential Equations, 188 (1) (2003), 135-163.
A. K. Srivastav, N. K. Goswami, M. Ghosh and Li Xue-Zhi, Modeling And Optimal Control Analysis of Zika Virus With Media Impact, Int. J. Dyanm. Control, Springer Nature, 2 (177) (2018), 1673-1689.
A. K. Srivastav, J. Yang, X. F. Leo and M. Ghosh, Spread of Zika Virus Disease on Complex Network - A Mathematical Study, Mathematics and Computers in Simulation 157 (2019), 15-38.
A. K. Srivastav, M. Ghosh, Assessing The Impact of Treatment on The Dynamics of Dengue Fever: A Case Study of India, Applied Mathematics and Computation,362 (2019), 1-17.
World Health Organization (WHO), WHO Statement on the First Meeting of the International Health Regulations (2005) Emergency Committee on Zika Virus And Observed Increase in Neurological Disorder SandneoNatalmal for Mations, February 1, (2016).
D. Xiao, S. Ruan, Global Analysis of an Epidemic Model with Nonmonotone Incidence Rate, Mathematical Biosciences, 208 (2) (2007), 419-429.
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