Measles is a reemerging disease that has a devastating impact, especially among children under 5. In this paper, an SEIRS model is developed to investigate a possible outbreak among the population of children under 5 in the Sunyani Municipality. We consider waning immunity or loss of immunity among those who were vaccinated, which leads to secondary attacks among some in the population. Using Routh-Hurwitz criterion, Matrix Theoretic and Goh-Volterra Lyapunov functions, the stability of the model was investigated around the equilibria. We have computed the threshold parameter, R 0 , using the Next Generation Matrix method. The disease-free equilibrium is globally stable whenever R 0 ≤ 1 and unstable otherwise. The endemic equilibrium is globally stable when R 0 >1.
Earn, D.J.D. (2008) A Light Introduction to Modelling Recurrent Epidemics. In: Mathematical Epidemiology, Springer, Berlin, 317. https://doi.org/10.1007/978-3-540-78911-6_1
Ghana Health Service and UNICEF Encourage Mothers to Deliver with Help from Skilled Birth Attendants UNICEF. https://www.unicef.org/infobycountry/ghana_62444.html
NHS Public Health Functions Agreement 2015-16, Service Specification No. 10 Measles, Mumps and Rubella (mmr) Immunisation Programme. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file /383184/1516_No10_Measles_Mumps_and_Rubella__MMR__Immunisation_Programme _FINAL.pdf
Shuai, Z. and van den Driessche, P. (2013) Global Stability of Infectious Disease Models Using Lyapunov Functions. SIAM Journal on Applied Mathematics, 73, 1513-1532. https://doi.org/10.1137/120876642
Smith, H.L., Wang, L. and Li, M.Y. (2001) Global Dynamics of an SEIR Epidemic Model with Vertical Transmission. SIAM Journal on Applied Mathematics, 62, 58-69. https://doi.org/10.1137/S0036139999359860
Abdelhadi, A. and Hassan, L. (2013) Optimal Control Strategy for SEIR with Latent Period and a Saturated Incidence Rate. ISRN Applied Mathematics, 2013, Article ID: 706848. https://doi.org/10.1155/2013/706848
Onyejekwe, O.O. and Kebede, E.Z. (2015) Epidemiological Modeling of Measles Infection with Optimal Control of Vaccination and Supportive Treatment. Applied and Computational Mathematics, 4, 264-274. https://doi.org/10.11648/j.acm.20150404.15
Henshaw, S. and McCluskey, C.C. (2015) Global Stability of a Vaccination Model with Immigration. Electronic Journal of Differential Equations, 92, 110.
Wang, W., Xin, J. and Zhang, F. (2010) Persistence of an SEIR Model with Immigration Dependent on the Prevalence of Infection. Discrete Dynamics in Nature and Society, 2010, Article ID: 727168. https://doi.org/10.1155/2010/727168
Li, J. and Ma, Z. (2002) Qualitative Analyses of SIS Epidemic Model with Vaccination and Varying Total Population Size. Mathematical and Computer Modelling, 35, 1235-1243. https://doi.org/10.1016/S0895-7177(02)00082-1
Clements, C.J. and Cutts, F.T. (1995) The Epidemiology of Measles: Thirty Years of Vaccination. In: Measles Virus, Springer, Berlin, Heidelberg, 13-33. https://doi.org/10.1007/978-3-642-78621-1_2
Centers of Disease Control (CDC) (1989) Measles Prevention. MMWR Supplements, 38, 1.
Safi, M.A. and Garba, S.M. (2012) Global Stability Analysis of SEIR Model with Holling Type II Incidence Function. Computational and Mathematical Methods in Medicine, 2012, Article ID: 826052. https://doi.org/10.1155/2012/826052
Lahrouz, A., Omari, L. and Kiouach, D. (2011) Global Analysis of a Deterministic and Stochastic Nonlinear SIRS Epidemic Model. Nonlinear Analysis: Modelling and Control, 16, 59-76.
Melesse, D.Y. and Gumel, A.B. (2010) Global Asymptotic Properties of an SEIRS Model with Multiple Infectious Stages. Journal of Mathematical Analysis and Applications, 366, 202-217. https://doi.org/10.1016/j.jmaa.2009.12.041
Adewale, S.O., Podder, C.N. and Gumel, A.B. (2009) Mathematical Analysis of a TB Transmission Model with DOTS. Canadian Applied Mathematics Quarterly, 17, 1-36.
Shuai, Z. and Van den Driessche, P. (2011) Global Dynamics of Cholera Models with Differential Infectivity. Mathematical Biosciences, 234, 118-126. https://doi.org/10.1016/j.mbs.2011.09.003
Peralta, R., Vargas-De-Len, C. and Miramontes, P. (2015) Global Stability Results in a SVIR Epidemic Model with Immunity Loss Rate Depending on the Vaccine-Age. Abstract and Applied Analysis, 2015, Article ID: 341854. https://doi.org/10.1155/2015/341854
Li, J. and Cui, N. (2013) Dynamic Analysis of an SEIR Model with Distinct Incidence for Exposed and Infectives. The Scientific World Journal, 2013, Article ID: 871393. https://doi.org/10.1155/2013/871393
Weisstein, E.W. (2000) Routh-Hurwitz Theorem. From MathWorld—A Wolfram Web Resource. http://mathworld.wolfram.com/Routh-HurwitzTheorem.html
Li, M.Y., Graef, J.R., Wang, L. and Karsai, J. (1999) Global Dynamics of a SEIR Model with Varying Total Population Size. Mathematical Biosciences, 160, 191-213. https://doi.org/10.1016/S0025-5564(99)00030-9
Castillo-Chavez, C., Feng, Z. and Huang, W. (2002) On the Computation of RO and Its Role on Global Stability. In: Castillo-Chavez, P.C., Blower, S., Driessche, P., Kirschner, D. and Yakubu, A.-A., Eds., Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction, Springer, Berlin, 229. https://doi.org/10.1007/978-1-4757-3667-0_13
Van den Driessche, P. and Watmough, J. (2008) Further Notes on the Basic Reproduction Number. In: Mathematical Epidemiology, Springer, Berlin, 159-178.
Guo, H., Li, M. and Shuai, Z. (2008) A Graph-Theoretic Approach to the Method of Global Lyapunov Functions. Proceedings of the American Mathematical Society, 136, 2793-2802. https://doi.org/10.1090/S0002-9939-08-09341-6