Abstract
In this paper, a population based mathematical model describing the transmission of measles disease with double vaccination dose, treatment and two groups of measles infected and measles induced encephalitis infected humans with relapse under the fractional Atangana–Baleanu–Caputo (ABC) operator is studied. The existence, uniqueness and positivity analysis of the fractional order model is established, while the model is validated by fitting data on measles prevalence in Nigeria made available by the Nigerian Center for Disease Control relative to the year 2020, using the nonlinear least square algorithm. Using the estimated and fitted parameters, the basic reproduction number \(R_{ms}\) is obtained and found to be \(R_{ms}\approx 1.34\), which reveal that despite the vaccination and treatment as controls, at least an individual is still being infected on the average, which describes the failure of vaccination effort and coverage in the Nigerian nation. Also, the model system equilibria, called the measles-free and measles-endemic equilibrium were obtained and the measles-free equilibrium is shown to be locally and globally asymptotically stable if \(R_{ms}\) is less than unity. A numerical scheme under the ABC operator, which is a mixture of the two-step Lagrange polynomial and the fundamental theorem of fractional calculus, is used to obtain the approximate solutions of the fractional order measles model, which proved to be convergent and efficient.
Similar content being viewed by others
Abbreviations
- \(R_{ms}\) :
-
Basic reproduction number of measles disease.
- ABC :
-
Atangana–Baleanu–Caputo
- \(\tau \) :
-
Fractional order
- \(^{ABC} D_0^\tau \) :
-
Atangana–Baleanu–Caputo fractional differential operator
- \(S_m\) :
-
Human individuals susceptible to measles disease
- \(V_e\) :
-
Humans who received vaccinations
- \(I_m\) :
-
Humans infected with measles
- \(I_e\) :
-
Humans infected with measles induced encephalitis
- \(T_m\) :
-
Treated humans
- \(R_m\) :
-
Humans who recovered from measles infection
- \(\zeta _t(\cdot )\) :
-
One parameter Mittag-Leffler function
- \(\mathfrak {I}^1\) :
-
Space function
- g, f(t):
-
Function of t
- \(\varsigma \) :
-
Vector of unknown function
- X :
-
Space function
- \(P_i(i=1-6)\) :
-
Functions satisfying the Lipschitz condition
- \(\omega _i(i=1-6)\) :
-
Lipschitz constants
- r :
-
Constant for triangular inequality
- \(\wedge \) :
-
Set of feasible solutions of the model
- \(E_m\) :
-
Measles-free equilibrium solution
- \(E_m^*\) :
-
Measles-endemic equilibrium solution
- F :
-
Non-negative matrix of appearance of new infections
- V :
-
Non-negative matrix of movement of individuals within compartments
- h :
-
Step length
- \(\Gamma \) :
-
Gamma function
- \(\mathfrak {R}(q_i)\) :
-
Real part of a matrix
References
Adewale, S.O., Mohammed, I.T., Olopade, I.A.: Mathematical analysis of effect of area on the dynamical spread of measles. IOSR J. Eng. 4(3), 43–57 (2014)
Abdulkarim, A.A.I., Ibrahim, R.M., Fawi, A.O., Adebayo, O.A., Johnson, A.W.B.R.: Vaccines and immunization: the past, present and future in Nigeria. Niger. J. Paediatr. 38(4), 186–194 (2011)
Abdullah, M., Aqeel, A., Naza, N., Farman, M., Ahmed, M.O.: Approximate solution and analysis of smoking epidemic model with Caputo fractional derivatives. Int. J. Appl. Comput. Math. 4, 112 (2018). https://doi.org/10.1007/s40819-018-0543-5
Ahmadi Assor, A.A., Valipour, P., Ghasemi, S.E., Ganji, D.D.: Mathematical modeling of carbon nanotube with fluid flow using Keller box method: a vibrational study. Int. J. Appl. Comput. Math. 3, 1689–1701 (2017)
Aldila, D., Asrianti, D.: A deterministic model of measles with imperfect vaccination and quarantine intervention. J. Phys. 1218(1), 12044 (2019)
Allen, L.J., Jones, M.A., Martin, C.F.: A discrete-time model with vaccination for a measles epidemic. Math. Biosci. 105(1), 111–131 (1991)
Al-Sheikh, S.A.: Modeling and analysis of an SEIR epidemic system with a limited resource for treatment. Glob. J. Sci. Front. Res. Math. Decis. Sci. 12(14), 56–66 (2012)
Ashraf, F., Ahmad, M.O.: Nonstandard finite difference scheme for control of measles epidemiology. Int. J. Adv. Appl. Sci. 6(3), 79–85 (2019)
Atangana, A.: Application of fractional calculus to epidemiology. In: Cattani, C., Srivastava, H.M., Yang, X.-J. (eds.) Fractional Dynamics, pp. 174–90. Walter de Gruyter, Warsaw (2015)
Ibrahim, B.S., Usman, R., Yahaya Mohammed, Z.D., Okunromade, O., Abubakar, A.A., Nguku, P.M.: Burden of measles in Nigeria: a five-year review of case based surveillance data, 2012–2016. Pan Afr. Med. J. 32(Suppl 1), 5 (2019)
Bakare, E.A., Adekunle, Y.A., Kadiri, K.O.: Modelling and simulation of the dynamics of the transmission of measles. Int. J. Comput. Trends Technol. 3(1), 2012 (2012)
Coughlin, M., Beck, A., Bankamp, B., Rota, P.: Perspective on global measles epidemiology and control and the role of novel vaccination strategies. Viruses 9(1), 11 (2017)
Ferren, M., Horvat, B., Mathieu, C.: Measles encephalitis: towards new therapeutics. Viruses 11(11), 1017 (2019). https://doi.org/10.3390/v11111017
Fisher, D.L., Defres, S., Solomon, T.: Measles-induced encephalitis. QJM Int. J. Med. 108(3), 177–182 (2015). https://doi.org/10.1093/qjmed/hcu113
Edwards, Frank E.: Relaspe in measles. Br. Med. J. 1(3360), 987 (1925)
Fred, M.O., Sigey, J.K., Okello, J.A., Okwoyo, J.M., Kangethe, G.J.: Mathematical modeling on the control of measles by vaccination: case study of KISII County, Kenya. SIJ Trans. Comput. Sci. Eng. Appl. 2(3), 61–9 (2014)
Gashirai, T.B., Hove-Musekwa, S.D., Mushayabasa, S.: Optimal control applied to a fractional order foot and mouth disease model. Int. J. Appl. Comput. Math. 7, 73 (2021)
Gerard, L.R.: Cases of relapse in measles. Clin. Notes Med. Surg. Obstet. Therap. 166(4295), 1905 (1837)
Grenfell, B.T.: Chance and chaos in measles dynamics. J. R. Stat. Soc. Ser. B (Methodol.) 54(2), 383–398 (1992). https://doi.org/10.1111/j.2517-6161.1992.tb01888.x
Haq, F., Shahzad, M., Muhammad, S., Wahab, H.A., Rahman, G.: Numerical analysis of fractional order epidemic model of childhood diseases. Discrete Dyn. Nat. Soc. 2017, 1–7 (2017)
Hethcote, H.W.: The mathematics of infectious diseases. Soc. Ind. Appl. Math. Rev. 42(4), 599–653 (2000). https://doi.org/10.1137/S0036144500371907
Khan, M., Rasheed, A.: The space time coupled fractional Cattaneo–Friedrich Maxwell model with Caputo derivatives. Int. J. Appl. Comput. Math. 7, 012 (2021)
Khan, M.A., Ullah, S., Farooq, M.: A new fractional model for tuberculosis with relapse via Atangana–Baleanu derivative. Chaos Solitons Fractals 116, 227–38 (2018)
La-Salle, J.P.: The stability of dynamical systems. In: CBMS-NSF Regional Conference Series in Applied Mathematics, vol. 25. SIAM, Philadelphia (1976)
Martin, K., Mustafa, T., Reinhard, S.: Explixit formulae for the peak time of an epidemic from the SIR model. Which approximat to use? Phys. D Nonlinear Phenom. 425, 13298 (2021). https://doi.org/10.1016/j.physd.2021.132981
Measles infection and encephalitis: The Encephalitis Society (2017). https://www.encephalitis.info
Measles Campaign in Nigeria. Retrieved (2019). https://www.afro.who.int/news/who-supports-government-mitigate-measles-rubella-outbreaks-nationwide
Measles situation report (2020). https://ncdc.gov.ng
Mohammed, A., Marwan, A., Imad, J.: Explicit and approximate solutions for the conformable Caputo time—fractional diffusive predator–prey model. Int. J. Appl. Comput. Math. 7, 90 (2021)
Momoh, A.A., Ibrahim, M.O., Uwanta, I.J., Manga, S.B.: Mathematical model for control of measles epidemiology. Int. J. Pure Appl. Math. 87(5), 707–717 (2013). https://doi.org/10.12732/ijpam.v87i5.4
Nigerian Center for Disease Control. (2020). https://ncdc.gov.ng/reports/177/2020-march-week-9
Nigeria Death Rate 1950–2021 | MacroTrends. https://www.macrotrends.net/countries/NGA/death-rate
Nigeria: Forecasted birth rate 2020–2050 | Statista. https://www.statista.com/Society/Demographics
Obumneke, C., Adamu, I.I., Ado, S.T.: Mathematical model for the dynamics of measles under the combined effect of vaccination and measles therapy. Int. J. Sci. Technol. 6(6), 862–874 (2017)
Ochoche, J.M., Gweryina, R.I.: A mathematical model of measles with vaccination and two phases of infectiousness. IOSR J. Math. 10(1), 95–105 (2014). https://doi.org/10.9790/5728-101495105
Okyere-Siabouh, S., Adetunde, I.A.: Mathematical model for the study of measles in cape coast metropolis. Int. J. Modern. Biol. Med. 4(2), 110–33 (2013)
Peter, O.J., Afolabi, O.A.V., Afolabi, A., Akpan, C.E., Oguntolu, F.A.: Mathematical model for the control of measles. J. Appl. Sci. Environ. Manag. 22(4), 571–6 (2018)
Podlubny, I.: Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications. Elsevier, Amsterdam (1998)
Qureshi, S.: Effects of vaccination on measles dynamics under fractional conformable derivative with Liouville–Caputo operator. Eur. Phys. J. Plus 135, 63 (2020). https://doi.org/10.1140/epjp/s13360-020-00133-0
Qureshi, S., Memoon, Z.-U.-N.: Monotonically decreasing behavior of measles epidemic well captured by Atangana–Baleanu–Caputo fractional operator under real measles data of Pakistan. Chaos Solitons and Fractals 131, 109478 (2020)
Shuai, Z., Driessche, V.P.: Global stability of infectious disease models using Lyapunov functions. SIAM J. Appl. Math. 73(4), 1513–1532 (2013)
Toufik, M., Atangana, A.: New numerical approximation of fractional derivative with non-local and non-singular kernel: application to chaotic models. Eur. Phys. J. Plus 132(10), 444 (2017)
Turkyimazoglu, M.: Explicit formulae for the peak time of an epidemic from the SIR model. Physica D 4, 22 (2021). https://doi.org/10.1016/j.physd.2021.1321102
World Health Organization (WHO): Immunization, Vaccines and Biologicals. https://www.who.int/teams/immunization-vaccines-and-biologicals/diseases/measles
Zada, A., Ali, S.: Stability of integral Caputo type boundary value problem with noninstataneous impulses. Int. J. Appl. Comput. Math. 5, 55 (2019)
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ogunmiloro, O.M., Idowu, A.S., Ogunlade, T.O. et al. On the Mathematical Modeling of Measles Disease Dynamics with Encephalitis and Relapse Under the Atangana–Baleanu–Caputo Fractional Operator and Real Measles Data of Nigeria. Int. J. Appl. Comput. Math 7, 185 (2021). https://doi.org/10.1007/s40819-021-01122-2
Accepted:
Published:
DOI: https://doi.org/10.1007/s40819-021-01122-2