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Year 2021, , 56 - 64, 31.08.2021
https://doi.org/10.33187/jmsm.884304

Abstract

References

  • [1] S. Cakan, Dynamic analysis of a mathematical model with health care capacity for COVID-19 pandemic, Chaos, Solitons and Fractals, 139, 110033 (2020), 1-8.
  • [2] P. Kumar, V.S. Erturk, The analysis of a time delay fractional COVID-19 model via Caputo type fractional derivative, Math Meth Appl Sci., (2020), 1-14. https://doi.org/10.1002/mma.6935
  • [3] Z. Zhang, A. Zeb, S. Hussain, E. Alzahrani, Dynamics of COVID-19 mathematical model with stochastic perturbation, Adv. Differ. Equ., 451 (2020), 1-12. https://doi.org/10.1186/s13662-020-02909-1
  • [4] W.O. Kermack, A.G. McKendrick, A contributions to the mathematical theory of epidemics, Proc. Roy. Soc. A, 115 (1927), 700-721.
  • [5] N.F. Tehrani, M.R. Razvan, S. Yasaman, Global Analysis of a delay SVEIR epidemiological model, Iran. J. Sci. Technol. Trans. A Sci., 37A4 (2013), 483-489.
  • [6] R. Xu, Global stability of a delayed epidemic model with latent period and vaccination strategy, Appl. Math. Model., 36 (2012), 5293–5300.
  • [7] A.A. Momoh, M.O. Ibrahim, B.A. Madu, Stability Analysis of an infectionus disease free equilibrium of Hepatitis B model, Research Journal of Applied Sciences, Engineering and Technology, 3(9) (2011), 905-909.
  • [8] C. Wu, Z. Jiang, Global stability for the disease free equilibrium of a delayed model for malaria transmission, Int. Journal of Math. Analysis, 6(38) (2012), 1877-1881.
  • [9] C. Wu and Y. Zhang, Stability Analysis for the disease free equilibrium of a discrete malaria model with two delays, Intelligent Computing Theories and Applications. ICIC 2012, LNAI 7390 (2012), 341-349.
  • [10] R. Akbari, A.V. Kamyad, A.A. Heydari, A. Heydari, The analysis of a disease-free equilibrium of hepatitis B model, Sahand Communications in Mathematical Analysis (SCMA), 3(2) (2016), 1-11.
  • [11] J.C. Kamgang, G. Sallet, Computation of threshold conditions for epidemiological models and global stability of the disease-free equilibrium (DFE), Math. Biosci., 213 (2008), 1-12.
  • [12] J.C. Kamgang, G. Sallet, Global asymptotic stability for the disease free equilibrium for epidemiological models, Comptes Rendus Mathematique, 341(7) (2005), 433-438.
  • [13] K.M. Bello, I.N. Akinwande, S. Abdurhman, A.F. Kuta, Y. Bello, Global stability analysis of the disease-free equilibrium state of a mathematical model of trypanosomiasis, J. Appl. Sci. Environ. Manage., 23(2) (2019), 201-208.
  • [14] K.B. Blyuss, Y.N. Kyrychko. Instability of disease-free equilibrium in a model of malaria with immune delay. Math Biosci. 248 (2014), 54-6. doi: 10.1016/j.mbs.2013.12.005. Epub 2013 Dec 25. PMID: 24373861.
  • [15] S. Lakshmikantham, S. Leela, A.A. Martynyuk, Stability Analysis of Nonlinear Systems, Marcel Dekker, Inc., New York, 1989.
  • [16] P.V.D. Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math.Biosci., 180 (2002), 29-48.
  • [17] O. Diekmann, J.A.P. Heesterbeek, J.A.J Metz, On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations, Journal of Mathematical Biology, 28(4) (1990), 365-382.
  • [18] R.H. Thieme, Persitence under relaxed point dissipativity (with application to an endemic model), SIAM J. Math. Anal., 24 (1993), 407-435.

Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine

Year 2021, , 56 - 64, 31.08.2021
https://doi.org/10.33187/jmsm.884304

Abstract

This paper evaluates the impact of an effective preventive vaccine on the control of some infectious diseases by using a new deterministic mathematical model. The model is based on the fact that the immunity acquired by a fully effective vaccination is permanent. Threshold $\mathcal{R}_{0}$, defined as the basic reproduction number, is critical indicator in the extinction or spread of any disease in any population, and so it has a very important role for the course of the disease that caused to an epidemic. In epidemic models, it is expected that the disease becomes extinct in the population if $\mathcal{R}_{0}<1.$ In addition, when $\mathcal{R}_{0}<1$ it is expected that the disease-free equilibrium point of the model, and so the model, is stable in the sense of local and global. In this context, the threshold value $\mathcal{R}_{0}$ regarding the model is obtained. The local asymptotic stability of the disease-free equilibrium is examined with analyzing the corresponding characteristic equation. Then, by proved the global attractivity of disease-free equilibrium, it is shown that this equilibria is globally asymptotically stable.

References

  • [1] S. Cakan, Dynamic analysis of a mathematical model with health care capacity for COVID-19 pandemic, Chaos, Solitons and Fractals, 139, 110033 (2020), 1-8.
  • [2] P. Kumar, V.S. Erturk, The analysis of a time delay fractional COVID-19 model via Caputo type fractional derivative, Math Meth Appl Sci., (2020), 1-14. https://doi.org/10.1002/mma.6935
  • [3] Z. Zhang, A. Zeb, S. Hussain, E. Alzahrani, Dynamics of COVID-19 mathematical model with stochastic perturbation, Adv. Differ. Equ., 451 (2020), 1-12. https://doi.org/10.1186/s13662-020-02909-1
  • [4] W.O. Kermack, A.G. McKendrick, A contributions to the mathematical theory of epidemics, Proc. Roy. Soc. A, 115 (1927), 700-721.
  • [5] N.F. Tehrani, M.R. Razvan, S. Yasaman, Global Analysis of a delay SVEIR epidemiological model, Iran. J. Sci. Technol. Trans. A Sci., 37A4 (2013), 483-489.
  • [6] R. Xu, Global stability of a delayed epidemic model with latent period and vaccination strategy, Appl. Math. Model., 36 (2012), 5293–5300.
  • [7] A.A. Momoh, M.O. Ibrahim, B.A. Madu, Stability Analysis of an infectionus disease free equilibrium of Hepatitis B model, Research Journal of Applied Sciences, Engineering and Technology, 3(9) (2011), 905-909.
  • [8] C. Wu, Z. Jiang, Global stability for the disease free equilibrium of a delayed model for malaria transmission, Int. Journal of Math. Analysis, 6(38) (2012), 1877-1881.
  • [9] C. Wu and Y. Zhang, Stability Analysis for the disease free equilibrium of a discrete malaria model with two delays, Intelligent Computing Theories and Applications. ICIC 2012, LNAI 7390 (2012), 341-349.
  • [10] R. Akbari, A.V. Kamyad, A.A. Heydari, A. Heydari, The analysis of a disease-free equilibrium of hepatitis B model, Sahand Communications in Mathematical Analysis (SCMA), 3(2) (2016), 1-11.
  • [11] J.C. Kamgang, G. Sallet, Computation of threshold conditions for epidemiological models and global stability of the disease-free equilibrium (DFE), Math. Biosci., 213 (2008), 1-12.
  • [12] J.C. Kamgang, G. Sallet, Global asymptotic stability for the disease free equilibrium for epidemiological models, Comptes Rendus Mathematique, 341(7) (2005), 433-438.
  • [13] K.M. Bello, I.N. Akinwande, S. Abdurhman, A.F. Kuta, Y. Bello, Global stability analysis of the disease-free equilibrium state of a mathematical model of trypanosomiasis, J. Appl. Sci. Environ. Manage., 23(2) (2019), 201-208.
  • [14] K.B. Blyuss, Y.N. Kyrychko. Instability of disease-free equilibrium in a model of malaria with immune delay. Math Biosci. 248 (2014), 54-6. doi: 10.1016/j.mbs.2013.12.005. Epub 2013 Dec 25. PMID: 24373861.
  • [15] S. Lakshmikantham, S. Leela, A.A. Martynyuk, Stability Analysis of Nonlinear Systems, Marcel Dekker, Inc., New York, 1989.
  • [16] P.V.D. Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math.Biosci., 180 (2002), 29-48.
  • [17] O. Diekmann, J.A.P. Heesterbeek, J.A.J Metz, On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations, Journal of Mathematical Biology, 28(4) (1990), 365-382.
  • [18] R.H. Thieme, Persitence under relaxed point dissipativity (with application to an endemic model), SIAM J. Math. Anal., 24 (1993), 407-435.
There are 18 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Sümeyye Çakan 0000-0001-8761-8564

Publication Date August 31, 2021
Submission Date February 21, 2021
Acceptance Date August 19, 2021
Published in Issue Year 2021

Cite

APA Çakan, S. (2021). Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine. Journal of Mathematical Sciences and Modelling, 4(2), 56-64. https://doi.org/10.33187/jmsm.884304
AMA Çakan S. Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine. Journal of Mathematical Sciences and Modelling. August 2021;4(2):56-64. doi:10.33187/jmsm.884304
Chicago Çakan, Sümeyye. “Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine”. Journal of Mathematical Sciences and Modelling 4, no. 2 (August 2021): 56-64. https://doi.org/10.33187/jmsm.884304.
EndNote Çakan S (August 1, 2021) Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine. Journal of Mathematical Sciences and Modelling 4 2 56–64.
IEEE S. Çakan, “Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine”, Journal of Mathematical Sciences and Modelling, vol. 4, no. 2, pp. 56–64, 2021, doi: 10.33187/jmsm.884304.
ISNAD Çakan, Sümeyye. “Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine”. Journal of Mathematical Sciences and Modelling 4/2 (August 2021), 56-64. https://doi.org/10.33187/jmsm.884304.
JAMA Çakan S. Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine. Journal of Mathematical Sciences and Modelling. 2021;4:56–64.
MLA Çakan, Sümeyye. “Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine”. Journal of Mathematical Sciences and Modelling, vol. 4, no. 2, 2021, pp. 56-64, doi:10.33187/jmsm.884304.
Vancouver Çakan S. Threshold and Stability Results of a New Mathematical Model for Infectious Diseases Having Effective Preventive Vaccine. Journal of Mathematical Sciences and Modelling. 2021;4(2):56-64.

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