Skip to main content
Log in

Studying of the Covid-19 model by using the finite element method: theoretical and numerical simulation

  • Application of soft computing
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

This study simulates the coronavirus infection (Covid-19) which is given as a mathematical model based on a set of ordinary differential equations. We provide this numerical treatment and simulation by using the finite element method (FEM). The proposed model is reduced to a set of algebraic equations using the FEM. The goal of this research is to stop and slow the spread of a sickness that is ravaging the globe. A susceptible person may also transfer immediately to the quarantined class after the exposed person has been quarantined or moved to one of the contaminated classes. This model was employed by the researchers to account for both asymptomatic and symptomatic infected people. The obtained findings are compared to those results by using the Runge–Kutta method of the fourth order (RK4). Finally, we calculate the residual error function of the approximation to validate the FEM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data Availability

All data generated or analyzed during this study are included in this published article.

References

  • Abd-Elhameed WM, Alkerledri AM (2021) Spectral solutions of linear and nonlinear BVPs using certain Jacobi polynomials generalizing third-and fourth-kinds of Chebyshev polynomials. Comput Model Eng Sci 126(1):1–35

    Google Scholar 

  • Abd-Elhameed WM, Machado JAT, Youssri YH (2022) Hypergeometric fractional derivatives formula of shifted Chebyshev polynomials: tau algorithm for a type of fractional delay differential equations. Int J Nonlinear Sci Numer Simul 23(7–8):1253–1268

    Article  MathSciNet  Google Scholar 

  • Adegboye OA, Adekunle AI, Gayawan E (2020) Early transmission dynamics of novel coronavirus (covid-19) in Nigeria. Int J Environ Res Public Health 17(9):10–25

    Article  Google Scholar 

  • Adel M, Khader MM, Hijaz Ahmad, Assiri TA (2023) Approximate analytical solutions for the blood ethanol concentration system and predator–prey equations by using variational iteration method. AIMS Math 8(8):19083–19096

    Article  MathSciNet  Google Scholar 

  • Adel M, Khader MM, Algelany S (2023) High-dimensional chaotic Lorenz system: numerical treated using Changhee polynomials of the Appell type. Fractal Fractional 7(5):398

    Article  Google Scholar 

  • Adel M, Srivastava HM, Khader MM (2023) Implementation of an accurate method for the analysis and simulation of electrical R-L circuits. Math Methods Appl Sci 46:8362–8371

    Article  MathSciNet  Google Scholar 

  • Adel M, Khader MM, Assiri TA, Kallel W (2023) Simulating Covid-19 model research using a multidomain spectral relaxation technique. Symmetry 15(931):1–14

    Google Scholar 

  • Ahmed I, Modu GU, Yusuf A, Kumam P, Yusuf I (2021) A mathematical model of Coronavirus Disease (COVID-19) containing asymptomatic and symptomatic classes. Results Phys 21:1–14

    Article  CAS  Google Scholar 

  • Ajisegiri W, Odusanya O, Joshi R (2020) Covid-19 outbreak situation in Nigeria and the need for effective engagement of community health workers for epidemic response. Glob Biosecur 1(4):5–20

    Google Scholar 

  • Anderson RM, May RM (1985) Helminth infections of humans: mathematical models, population dynamics, and control. Adv Parasitol 24:1–101

    Article  CAS  PubMed  Google Scholar 

  • Atta AG, Youssri YH (2022) Advanced shifted first-kind Chebyshev collocation approach for solving the nonlinear time-fractional partial integro-differential equation with a weakly singular kernel. Comput Appl Math 41, Article number: 381

  • Bathe KJ (2006) Finite element procedures. Prentice Hall, Pearson Education Incorporated, New York

    Google Scholar 

  • Bhargava R, Sharma S, Takhar HS, Beg OA, Bhargava P (2007) Numerical solutions for micropolar transport phenomena over a nonlinear stretching sheet. Nonlinear Anal Model Cont 12:45–63

  • Chen SB, Rashid S, Noor MA, Hammouch Z, Chu YM (2020) New fractional approaches for n-polynomial p-convexity with applications in special function theory. Adv Differ Equ 11–31:2020

    MathSciNet  Google Scholar 

  • Danane J, Allali K, Hammouch Z (2020) Mathematical analysis of a fractional differential model of HBV infection with antibody immune response. Chaos Solitons Fract 136:1–11

    Article  MathSciNet  Google Scholar 

  • Diekmann O, Heesterbeek JAP, Metz JA (1990) On the definition and the computation of the basic reproduction ratio \(R_0\) in models for infectious diseases in heterogeneous populations. J Math Biol 28(4):365–382

    Article  MathSciNet  CAS  PubMed  Google Scholar 

  • Edelstein-Keshet L (2005) Mathematical models in biology. SIAM

  • Hajji MA, Al-Mdallal Q (2018) Numerical simulations of a delay model for immune system-tumor interaction. Sultan Qaboos Univ J Sci 23(1):19–31

    Google Scholar 

  • Hansbo A, Hansbo P (2004) A finite element method for the simulation of strong and weak discontinuities in solid mechanics. Comput Methods Appl Mech Eng 139:3523–3540

    Article  MathSciNet  ADS  Google Scholar 

  • Ibrahim YF, Khader MM, Megahed A, Abd Elsalam F, Adel M (2022) An efficient numerical simulation for the fractional Covid-19 model by using the GRK4M together with and the fractional FDM. Fractal Fractional 6(304):1–9

    Google Scholar 

  • Ibrahim YF, Abd El-Bar SE, Khader MM, Adel M (2023) Studying and simulating the fractional Covid-19 model using an efficient spectral collocation approach. Fractal Fractional 7(307):1–18

    Google Scholar 

  • Khader MM, Adel M (2022) Modeling and numerical simulation for covering the fractional Covid-19 model using spectral collocation–optimization algorithms. Fractal Fractional 6(363):1–19

    Google Scholar 

  • Koo JR, Cook AR, Park M, Sun Y, Sun H, Lim JT, Tam C, Dickens BL (2020) Interventions to mitigate the early spread of SARS-CoV-2 in Singapore: modelling study. Lancet Infect Dis 20(6):678–688

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lin YY, Lo SP (2003) Finite element modeling for chemical mechanical polishing process under different back pressures. J Mater Process Technol 140:646–652

    Article  ADS  Google Scholar 

  • Rana P, Bhargava R (2012) Flow and heat transfer of a nanofluid over a nonlinearly stretching sheet: a numerical study. Commun Nonlinear Sci Numer Simul 17:212–226

    Article  MathSciNet  ADS  Google Scholar 

  • Saad KM, Khader MM, Gomez-Aguilar JF, Baleanu Dumitru (2019) Numerical solutions of the fractional Fisher’s type equations with Atangana–Baleanu fractional derivative by using spectral collocation methods. Chaos 29:1–5

    Article  MathSciNet  Google Scholar 

  • World Health Organization (2020) Report of the who-china joint mission on coronavirus disease 2019 (COVID-19). https://www.who.int/docs/defaultsource/coronaviruse/who-china-jointmission-on-covid-19-final-report.pdf

  • Youssri YH, Atta AG (2023) Petrov-Galerkin Lucas polynomials procedure for the time-fractional diffusion equation. Contemp Math 4(2):230–248

    Article  Google Scholar 

Download references

Acknowledgements

The authors extend their appreciation to Princess Nourah bint Abdulrahman University for fund this research under Researchers Supporting Project number (PNURSP2023R229) Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Author information

Authors and Affiliations

Authors

Contributions

This study was written in collaboration with all of the authors. The final manuscript was read and approved by all writers.

Corresponding author

Correspondence to K. Lotfy.

Ethics declarations

Conflict of interest

There are no competing interests declared by the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alhejili, W., Khader, M.M., Lotfy, K. et al. Studying of the Covid-19 model by using the finite element method: theoretical and numerical simulation. Soft Comput 28, 5263–5273 (2024). https://doi.org/10.1007/s00500-023-09310-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-023-09310-6

Keywords

Mathematics Subject Classification

Navigation