Analytical investigation of fractional SEIRVQD measles mathematical model

Document Type : Research Article

Authors

Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Semnan, Iran

Abstract

In this paper, we construct and formulate a new mathematical model for the spread of epidemic diseases with vaccination especially for Chinese measles. This model including susceptible $(S)$, exposed $(E)$, infected $(I)$, recovered $(R)$, vaccinated $(V)$, quarantined $(Q)$ and died individuals $(D)$ is been studied by applying Caputo fractional derivatives (CFD). We introduce the feasibility region and prove positively invariant property for this region. Then we prove the existence of a unique solution of our fractional measles model. Furthermore, the equilibrium points of the model are presented and the stability analysis of the model is proved based on Lyapunov and Ulam-Hyer criteria. The basic reproduction number $(R_0)$ is calculated by the next generation matrix method in order to demonstrate the level of measles virus invasion. Moreover, numerical simulations including data fitting are performed for different fractional orders to illustrate and validate the efficiency of the proposed model.

Keywords

Main Subjects


[1] R. Agarwal, S. Hristova, D. O’Regan, Stability of generalized proportional caputo fractional dif-
ferential equations by lyapunov functions, Fractal Fract. 6 (2022) 34.
[2] Z. Bai, D. Liu, Modeling seasonal measles transmission in china, Commun. Nonlinear Sci. Numer.
Simul. 25 (2015) 19–26.
[3] D. Baleanu, S. Arshad, A. Jajarmi, W. Shokat, F. Akhavan Ghassabzade, M. Wali, Dynamical
behaviours and stability analysis of a generalized fractional model with a real case study, J. Adv.
Res. 48 (2023) 157–173.
[4] D. Baleanu, A. Jajarmi, S.S. Sajjadi, D. Mozyrska, A new fractional model and optimal control of
a tumor-immune surveillance with non-singular derivative operator, Chaos 29 (2019) 083127.
[5] D. Baleanu, P. Shekari, L. Torkzadeh, H. Ranjbar, A. Jajarmi, K. Nouri, Stability analysis and
system properties of nipah virus transmission: A fractional calculus case study, Chaos Solitons
Fract. 166 (2023) 112990.
[6] M.A. Belay, O.J. Abonyo, D.M. Theuri, Mathematical model of hepatitis B disease with optimal
control and cost-effectiveness analysis, Comput. Math. Methods Med. 29 (2023) 5215494.
[7] A. Bouissa, M. Tahiri, N. Tsouli, M.R. Sidi ammi, Global dynamics of a time-fractional spatio
temporal SIR model with a generalized incidence rate, J. App. Math. Comput. 69 (2023) 4779–
4804.
[8] V. Capasso, G. Serio, A generalization of the kermack-mckendrick deterministic epidemic model,
Math. Biosci. 42 (1978) 43–61.
[9] Z. Chen, Z. Yang, D. Sheng, Numerical analysis of linearly implicit Euler method for age structured
SIS model, J. App. Math. Comput. 70 (2024) 969–996.
[10] Chinese Center for Disease Control and Prevention. Available: www.chinacdc.cn/jkzt/crb/
mz/jszl2205/200904/t2009041524226.htm. National Measles Elimilation Program, 2006–
2012.
[11] M.L. Diagne, H. Rwezaura, S.A. Pedro, J.M. Tchuenche, Theoretical analysis of a measles model
with nonlinear incidence functions, Commun. Nonlinear Sci. Numer. Simul. 117 (2023) 106911.
[12] O. Diekmann, J.A. Heesterbeek, M.G. Roberts, The construction of next-generation matrices for
compartmental epidemic models, J. Roy. Soc. Interface. 7 (2009) 873–885.
[13] D.N. Durrheim, A. Xu, M.G. Baker, L.Y. Hsu, Y. Takashima, China has the momentum to eliminate
measles, Lancet. Reg. Health. West. Pac. 30 (2023) 100669.
[14] M. Fahimi, K. Nouri, L. Torkzadeh, Chaos in a stochastic cancer model, Phys. A 7 (2020) 123810.
[15] J.F. Gmez-Aguilar, J.J. Rosales-Garcia, J.J. Bernal-Alvarado, T. Cordova-Fraga, R. Guzman-
Cabrera, Fractional mechanical oscillators, Rev. Mex. Fis. 58 (2012) 348–352.
[16] Health Organization World. The revision of world population prospects, available: www.
worldometers.info/demographics/life-expectancy. WHO Data, 2022.
[17] M.A. Kuddus, M. Mohiuddin, A. Rahman, Mathematical analysis of a measles transmission dy-
namics model in bangladesh with double dose vaccination, Sci. Rep. 11 (2021) 16571.
[18] G. Lan , B. Sona, S. Yuan, Epidemic threshold and ergodicity of an SEIR model with vertical
transmission under the telegraph noise, Chaos Solitons Fract. 167 (2023) 113017.
[19] H. Liu, Y. Li, Hyers–Ulam stability of linear fractional differential equations with variable coeffi-
cients, Adv. Difference Equ. 8 (2020) 404.
[20] J.P. LaSalle, Stability theory for ordinary differential equations, J. Differential Equations 4 (1968)
57–65.
[21] C. Ma, L. Rodewald, L. Hao, Q. Su, Y. Zhang, N. Wen, C. Fan, H. Yang, H. Luo, H. Wang, J.L.
Goodson, Z. Yin, Z. Feng, Progress toward measles elimination:china-January 2013-June 2019,
China CDC Weekly, 68 (2019) 1112–1116.
[22] C. Milici, G. Draganescu, J.T. Machado, Introduction to Fractional Differential Equations, Springer
International Publishing, Switzerland, 2019.
[23] S.E. Moore, H.L. Nyandjo-Bamen, O. Menoukeu-Pamen, J.K.K. Asamoah, Z. Jin, Global stability
dynamics and sensitivity assessment of COVID-19 with timely-delayed diagnosis in Ghana, Com-
put. Math. Biophys. 10 (2022) 87–104.
[24] F. Ndairou, M. Khalighi, L. Lahti, Ebola epidemic model with dynamic population and memory,
Chaos Solitons Fract. 170 (2023) 113361.
[25] K.S. Nisar, M. Shoaib, M.A.Z. Raja, R. Tabassum, A. Morsy, A novel design of evolutionally
computing to study the quarantine effects on transmission model of Ebola virus disease, Results
Phys. 48 (2023) 106408.
[26] K. Nouri, M. Fahimi, L. Torkzadeh, D. Baleanu, Stochastic epidemic model of Covid-19 via the
reservoir-people transmission network, Comput. Mater. Contin. 72 (2022) 1495–1514.
[27] O.J. Peter, N.D. Fahrani, F. Fatmawati, W. Windarto, C.W. Chukwu, A fractional derivative model-
ing study for measles infection with double dose vaccination, Healthc. Anal. 4 (2023) 100231.
[28] O.J. Peter, H.S. Panigoro, M.A. Ibrahim, O.M. Otunuga, T.A. Ayoola, A.O. Oladapo, Analysis and
dynamics of measles with control strategies: A mathematical modeling approach, Int. J. Dyn. Contr.
11 (2023) 2538–2552.
[29] S. Rezapour, H. Mohammadi, A. Jajarmi, A new mathematical model for Zika virus transmission,
Adv. Differ. Equ. 2020 (2020) 589.
[30] B. Seidu, O.D. Makinde, I.Y. Seini, On the optimal control of HIV-TB Co-infection and improve-
ment of workplace productivity, Discret. dyn. nat. soc. 2023 (2023) 3716235.
[31] A. Singh, P. Deolia, COVID-19 outbreak: A predictive mathematical study incorporating shedding
effect, J. Appl. Math. Comput. 69 (2022) 1239-1268.
[32] C. Thaiprayoon, J. Kongson, W. Sudsutad, J. Alzabut, S. Etemad, S. Rezapour, Analysis of a non-
linear fractional system for zika virus dynamics with sexual transmission route under generalized
caputo-type derivative, J. Appl. Math. Comput. 68 (2022) 4273–4303.
[33] G.T. Tilahun, S. Demie , A. Eyob, Stochastic model of measles transmission dynamics with double
dose vaccination, Infect. Dis. Model. 5 (2020) 478–494.
[34] L. Torkzadeh, M. Fahimi, H. Ranjbar, K. Nouri, Analysis of a stochastic model for a prey predator
system with an indirect effect, Int. J. Comput. Math. 102 (2024) 60–73.
[35] R. Verma, S.P. Tiwari, R.K. Upadhyay, Transmission dynamics of epidemic spread and outbreak of
Ebola in west africa: fuzzy modeling and simulation, J. Appl. Math. Comput. 60 (2019) 637–671.
[36] S. Wang, The Ulam stability of fractional differential equation with the Caputo-Fabrizio derivative,
J. Funct. Spaces 2022 (2022) 7268518.
[37] H. Wang, Z. Zhu, X. Duan, J. song, N. Mao, A. Cui, C. Wang, H. Du, Y. Wang , F. Li, S. Zhou,
D. Feng , C. Li, H. Gao, J. He, L. Li, Y. Lei, H. Zheng, T. Gong, Y. Hu, C. Xu, H. Zhao, Z.
Sun, Y. Chen, X. Tang, M. Chen, L. Deng, S. Wang, X. Tian, T. Zhang, Y. Si, F. Yuan, L. Fan,
K. Mahemutijiang, Z. Chen, H. Chen, W. Xu, Y. Zhang, Transmission pattern of measles virus
circulating in China during 1993–2021: Genotyping evidence supports that China is approaching
measles elimination, Clin. Infect. Dis. 76 (2023) e1140–e1149.
[38] F.A. Wodajo, D.M. Gebru, H.T. Alemneh, Mathematical model analysis of effective intervention
strategies on transmission dynamics of hepatitis B virus, Sci. Rep. 13 (2023) 8337.
[39] H.M. Youssef, N. Alghamdi, M.A. Ezzat, A.A. El-Bary, A.M. Shawky, A proposed modified SEIQR
epidemic model to analyze the COVID-19 spreading in Saudi Arabia, Alex. Eng. J. 61 (2022) 2456–
2470.
[40] Y. Zhao, D. Jiang, The threshold of a stochastic SIS epidemic model with vaccination, Appl. Math.
Comput. 243 (2014) 718–727.