Year 2025,
Volume: 3 Issue: 1, 37 - 61, 30.04.2025
Charles Nkeki
,
I.a. Mbarie
References
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- [2] Jose, S.A., Raja, R., Alzabut, J., Rajchakit, G., Cao, J. and Balas, V.E. Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics, 109(4), 3169-3187, (2022).
- [3] National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases, (2024). https://www.cdc.gov/ncird/index.html
- [4] The Varicella Vaccination Program in the United States: 25 Years of Saving Lives and Preventing Illness, Journal of Infectious Diseases, (2022).
- [5] Agusto, F.B., Bewick, S. and Fagan, W.F. Mathematical model of Zika virus with vertical transmission. Infectious Disease Modelling, 2(2), 244-267, (2017).
- [6] Rajan, P.K., Kuppusamy, M. and Egbelowo, O.F. A mathematical model for human papillomavirus and its impact on cervical cancer in India. Journal of Applied Mathematics and Computing, 69, 753-770, (2023).
- [7] Thomas, R., Jose, S.A., Raja, R., Alzabut, J., Cao, J. and Balas, V.E. Modeling and analysis of SEIRS epidemic models using homotopy perturbation method: A special outlook to 2019-nCoV in India. International Journal of Biomathematics, 15(08), 2250059, (2022).
- [8] Yusuf, T.T. and Benyah, F. Optimal control of vaccination and treatment for an SIR epidemiological model. World Journal of Modelling and Simulation, 8(3), 194-204, (2012).
- [9] Edward, S., Kuznetsov, D. and Mirau, S. Modeling and stability analysis for a varicella zoster virus model with vaccination. Applied and Computational Mathematics, 3(4), 150-162, (2014).
- [10] Brisson, M., Edmunds, W.J., Gay, N.J., Law, B. and De Serres, G. Modelling the impact of immunization on the epidemiology of varicella zoster virus. Epidemiology & Infection, 125(3), 651-669, (2000).
- [11] Ogunjimi, B., Hens, N., Goeyvaerts, N., Aerts, M., Van Damme, P. and Beutels, P. Using empirical social contact data to model person to person infectious disease transmission: an illustration for varicella. Mathematical Biosciences, 218(2), 80-87, (2009).
- [12] Brisson, M., Melkonyan, G., Drolet, M., De Serres, G., Thibeault, R. and De Wals, P. Modeling the impact of one-and two-dose varicella vaccination on the epidemiology of varicella and zoster. Vaccine, 28(19), 3385-3397, (2010).
- [13] Jose, S.A., Raja, R., Dianavinnarasi, J., Baleanu, D. and Jirawattanapanit, A. Mathematical modeling of chickenpox in Phuket: Efficacy of precautionary measures and bifurcation analysis. Biomedical Signal Processing and Control, 84, 104714, (2023).
- [14] Jose, S.A., Yaagoub, Z., Joseph, D., Ramachandran, R. and Jirawattanapanit, A. Computational dynamics of a fractional order model of chickenpox spread in Phuket province. Biomedical Signal Processing and Control, 91, 105994, (2024).
On a mathematical model and the efficacy of control measures on the transmission dynamics of chickenpox
Year 2025,
Volume: 3 Issue: 1, 37 - 61, 30.04.2025
Charles Nkeki
,
I.a. Mbarie
Abstract
In this paper, a mathematical model and stability analysis of the transmission dynamics of chickenpox in the presence of treatment, quarantine, precaution, and vaccination as control measures are presented. These control measures and vaccine efficacy on the spread of chickenpox are studied to see their role in influencing the basic reproduction number. The model's equilibrium points are studied, and the global asymptotic stability of the disease-free equilibrium and the local asymptotic stability of the endemic equilibrium are established. Numerical simulation is carried out to determine the significance and efficacy of the control measures in the control and management of the spread of chickenpox in the population. It is found that adopting the four control measures plays a prominent role in reducing the chance of contracting and the spread of chickenpox in the mentioned population. It is also found that compartmental treatment drastically reduces the spread of the disease.
References
- [1] Joseph, D., Ramachandran, R., Alzabut, J., Cao, J., Niezabitowski, M. and Lim, C.P. Global exponential stability results for the host-parasitoid model of sugarcane borer in stochastic environment with impulsive effects via non-fragile control: An LMI approach. Optimal Control Applications and Methods, 43(2), 512-531, (2022).
- [2] Jose, S.A., Raja, R., Alzabut, J., Rajchakit, G., Cao, J. and Balas, V.E. Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics, 109(4), 3169-3187, (2022).
- [3] National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases, (2024). https://www.cdc.gov/ncird/index.html
- [4] The Varicella Vaccination Program in the United States: 25 Years of Saving Lives and Preventing Illness, Journal of Infectious Diseases, (2022).
- [5] Agusto, F.B., Bewick, S. and Fagan, W.F. Mathematical model of Zika virus with vertical transmission. Infectious Disease Modelling, 2(2), 244-267, (2017).
- [6] Rajan, P.K., Kuppusamy, M. and Egbelowo, O.F. A mathematical model for human papillomavirus and its impact on cervical cancer in India. Journal of Applied Mathematics and Computing, 69, 753-770, (2023).
- [7] Thomas, R., Jose, S.A., Raja, R., Alzabut, J., Cao, J. and Balas, V.E. Modeling and analysis of SEIRS epidemic models using homotopy perturbation method: A special outlook to 2019-nCoV in India. International Journal of Biomathematics, 15(08), 2250059, (2022).
- [8] Yusuf, T.T. and Benyah, F. Optimal control of vaccination and treatment for an SIR epidemiological model. World Journal of Modelling and Simulation, 8(3), 194-204, (2012).
- [9] Edward, S., Kuznetsov, D. and Mirau, S. Modeling and stability analysis for a varicella zoster virus model with vaccination. Applied and Computational Mathematics, 3(4), 150-162, (2014).
- [10] Brisson, M., Edmunds, W.J., Gay, N.J., Law, B. and De Serres, G. Modelling the impact of immunization on the epidemiology of varicella zoster virus. Epidemiology & Infection, 125(3), 651-669, (2000).
- [11] Ogunjimi, B., Hens, N., Goeyvaerts, N., Aerts, M., Van Damme, P. and Beutels, P. Using empirical social contact data to model person to person infectious disease transmission: an illustration for varicella. Mathematical Biosciences, 218(2), 80-87, (2009).
- [12] Brisson, M., Melkonyan, G., Drolet, M., De Serres, G., Thibeault, R. and De Wals, P. Modeling the impact of one-and two-dose varicella vaccination on the epidemiology of varicella and zoster. Vaccine, 28(19), 3385-3397, (2010).
- [13] Jose, S.A., Raja, R., Dianavinnarasi, J., Baleanu, D. and Jirawattanapanit, A. Mathematical modeling of chickenpox in Phuket: Efficacy of precautionary measures and bifurcation analysis. Biomedical Signal Processing and Control, 84, 104714, (2023).
- [14] Jose, S.A., Yaagoub, Z., Joseph, D., Ramachandran, R. and Jirawattanapanit, A. Computational dynamics of a fractional order model of chickenpox spread in Phuket province. Biomedical Signal Processing and Control, 91, 105994, (2024).