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On Solving SDEs with linear coefficients and application to stochastic epidemic models

Year 2022, Volume: 6 Issue: 2, 280 - 286, 30.06.2022
https://doi.org/10.31197/atnaa.948300

Abstract

Stochastic Differential Equations (SDEs) are extensively utilized to model numerous physical quantities from
different fields. In particular, linear SDEs are used in epidemic modeling. It is crucial to ensure the positivity
of several quantities in an epidemic model. Numerous articles on this topic proves the positivity of SDEs
solutions using probabilistic tools, such as in Theorem 3.1 of [10]. In this work, we suggest an alternative
way to show the positivity of the solutions. The proposed approach is based on finding solutions to linear
SDEs using Itô formula. We comment on several examples of stochastic epidemic models existing in the
literature.

Supporting Institution

United Arab Emirates University

Project Number

UPAR Grant No. 31S369

References

  • [1] K. Abodayeh, M.S. Arif, A. Raza, M. Rafiq, M. Bibi, A. Nazeer, Numerical techniques for stochastic foot and mouth disease epidemic model with the impact of vaccination, Advances in Di?erence Equations 1 (2020) 1-14.
  • [2] Q.M. Al-Mdallal, M.A. Hajji, T. Abdeljawad, On the iterative methods for solving fractional initial value problems: new perspective, Journal of Fractional Calculus and Nonlinear Systems 2(1) (2021) 76-81.
  • [3] A. Atangana, S. Jain, A new numerical approximation of the fractal ordinary differential equation, The European Physical Journal Plus 133:2(2018) 1-15.
  • [4] A. Atangana, S. Jain, The role of power decay, exponential decay and Mittag-Leffler function's waiting time distribution: application of cancer spread, Physica A: Statistical Mechanics and its Applications 512(2018) 330-351.
  • [5] J. Djordjevic, C.J. Silva, D.FM Torres, A stochastic SICA epidemic model for HIV transmission, Applied Mathematics Letters 84(2018) 168-175.
  • [6] S. Jain, Numerical analysis for the fractional diffusion and fractional Buckmaster equation by the two-step Laplace Adam- Bashforth method, The European Physical Journal Plus 133:1(2018) 1-11.
  • [7] T. Khan, R. Ullah, G. Zaman, Y. El Khatib, Modeling the dynamics of the SARS-CoV-2 virus in a population with asymptomatic and symptomatic infected individuals and vaccination, Physica Scripta 96:10(2021) 104009.
  • [8] T. Khan, G. Zaman, Y. El Khatib, Modeling the dynamics of novel coronavirus (covid-19) via stochastic epidemic model, Results in Physics 24(2021)104004, 2021.
  • [9] P.E. Kloeden, E. Platen, Numerical Solution of Stochastic Differential Equations, Springer(1992).
  • [10] Q. Lei, Z. Yang, Dynamical behaviors of a stochastic SIRI epidemic model, Applicable Analysis 96:16(2017) 2758-2770.
  • [11] Q. Liu, Dynamics of a stochastic SICA epidemic model for HIV transmission with higher-order perturbation, Stochastic Analysis and Applications (2021) 1-40.
  • [12] A. Rathinasamy, M. Chinnadurai, S. Athithan, Analysis of exact solution of stochastic sex-structured HIV/AIDS epidemic model with effect of screening of infectives, Mathematics and Computers in Simulation 179 (2021) 213-237.
  • [13] D.A. Reza, M.N. Billah, S.S. Shanta, Effect of quarantine and vaccination in a pandemic situation: a mathematical modelling approach, Journal of Mathematical Analysis and Modeling 2:3(2021) 77-87.
  • [14] E. Tornatore, P. Vetro, S.M. Buccellato, SIVR epidemic model with stochastic perturbation, Neural Computing and Applications 24:2(2014) 309-315.
Year 2022, Volume: 6 Issue: 2, 280 - 286, 30.06.2022
https://doi.org/10.31197/atnaa.948300

Abstract

Project Number

UPAR Grant No. 31S369

References

  • [1] K. Abodayeh, M.S. Arif, A. Raza, M. Rafiq, M. Bibi, A. Nazeer, Numerical techniques for stochastic foot and mouth disease epidemic model with the impact of vaccination, Advances in Di?erence Equations 1 (2020) 1-14.
  • [2] Q.M. Al-Mdallal, M.A. Hajji, T. Abdeljawad, On the iterative methods for solving fractional initial value problems: new perspective, Journal of Fractional Calculus and Nonlinear Systems 2(1) (2021) 76-81.
  • [3] A. Atangana, S. Jain, A new numerical approximation of the fractal ordinary differential equation, The European Physical Journal Plus 133:2(2018) 1-15.
  • [4] A. Atangana, S. Jain, The role of power decay, exponential decay and Mittag-Leffler function's waiting time distribution: application of cancer spread, Physica A: Statistical Mechanics and its Applications 512(2018) 330-351.
  • [5] J. Djordjevic, C.J. Silva, D.FM Torres, A stochastic SICA epidemic model for HIV transmission, Applied Mathematics Letters 84(2018) 168-175.
  • [6] S. Jain, Numerical analysis for the fractional diffusion and fractional Buckmaster equation by the two-step Laplace Adam- Bashforth method, The European Physical Journal Plus 133:1(2018) 1-11.
  • [7] T. Khan, R. Ullah, G. Zaman, Y. El Khatib, Modeling the dynamics of the SARS-CoV-2 virus in a population with asymptomatic and symptomatic infected individuals and vaccination, Physica Scripta 96:10(2021) 104009.
  • [8] T. Khan, G. Zaman, Y. El Khatib, Modeling the dynamics of novel coronavirus (covid-19) via stochastic epidemic model, Results in Physics 24(2021)104004, 2021.
  • [9] P.E. Kloeden, E. Platen, Numerical Solution of Stochastic Differential Equations, Springer(1992).
  • [10] Q. Lei, Z. Yang, Dynamical behaviors of a stochastic SIRI epidemic model, Applicable Analysis 96:16(2017) 2758-2770.
  • [11] Q. Liu, Dynamics of a stochastic SICA epidemic model for HIV transmission with higher-order perturbation, Stochastic Analysis and Applications (2021) 1-40.
  • [12] A. Rathinasamy, M. Chinnadurai, S. Athithan, Analysis of exact solution of stochastic sex-structured HIV/AIDS epidemic model with effect of screening of infectives, Mathematics and Computers in Simulation 179 (2021) 213-237.
  • [13] D.A. Reza, M.N. Billah, S.S. Shanta, Effect of quarantine and vaccination in a pandemic situation: a mathematical modelling approach, Journal of Mathematical Analysis and Modeling 2:3(2021) 77-87.
  • [14] E. Tornatore, P. Vetro, S.M. Buccellato, SIVR epidemic model with stochastic perturbation, Neural Computing and Applications 24:2(2014) 309-315.
There are 14 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Youssef El-khatib 0000-0002-7663-2675

Qasem Al-mdallal 0000-0002-2853-9337

Project Number UPAR Grant No. 31S369
Publication Date June 30, 2022
Published in Issue Year 2022 Volume: 6 Issue: 2

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