Research Article
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Year 2025, Volume: 13 Issue: 3, 126 - 143, 06.09.2025
https://doi.org/10.36753/mathenot.1695610

Abstract

References

  • [1] Republic of Türkiye Ministry of Health: First Covid-19 Case in Turkey, https://covid19.saglik.gov.tr/Eklenti/39551/0/ covid-19rehberigenelbilgilerepidemiyolojivetanipdf.pdf
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  • [8] Hamdan, N. I., Kilicman, A.: A fractional order SIR epidemic model for dengue transmission. Chaos, Solitons & Fractals. 114, 55–62 (2018).
  • [9] Baba, I. A., Nasidi, B. A.: Fractional order model for the role of mild cases in the transmission of Covid-19. Chaos, Solitons & Fractals. 142, 110374 (2021).
  • [10] Alshomrani, A. S., Ullah, M. Z., Baleanu, D.: Caputo SIr model for Covid-19 under optimized fractional order. Advances in Difference Equations. 2021 (1), 185 (2021).
  • [11] Nenoff, L., Ribeiro, C. O., Matter, M., Hafner, L., Josipovic, M., Langendijk, J. A., Persson, G. F., Walser, M., Weber, D. C., Lomax, A. J., Knopf, A. C., Albertini, F., Zhang, Y.: Deformable image registration uncertainty for inter-fractional dose accumulation of lung cancer proton therapy. Radiotherapy and Oncology. 147, 178–185 (2020).
  • [12] Magin, R. L.: Fractional calculus models of complex dynamics in biological tissues. Computers & Mathematics with Applications. 59 (5), 1586–1593 (2010).
  • [13] Mishra, J.: Telegraph model with fractional differential operators: Nonsingular kernels. Results in Physics. 39, 105762 (2022).
  • [14] Sun, H., Chen, W., Li, C., Chen, Y.: Fractional differential models for anomalous diffusion. Physica A: Statistical Mechanics and its Applications. 389 (14), 2719–2724 (2010).
  • [15] Rehman, H., Shuaib, M., Ismail, E. A., Li, S.: Enhancing medical ultrasound imaging through fractional mathematical modeling of ultrasound bubble dynamics. Ultrasonics Sonochemistry. 100, 106603 (2023).
  • [16] Raza, A., Khan, S. U., Al-Khaled, K., Khan, M. I., Haq, A. U., Alotaibi, F., Abd Allah, A. M., Qayyum, S.: A fractional model for the kerosene oil and water-based Casson nanofluid with inclined magnetic force. Chemical Physics Letters. 787, 139277 (2022).
  • [17] Liang, S., Luo, R., Luo,W.: Fractional differential constitutive model for linear viscoelasticity of asphalt and asphalt mastic. Construction and Building Materials. 306, 124886 (2021).
  • [18] Di Paola, M., Pinnola, F. P., Zingales, M.: Fractional differential equations and related exact mechanical models. Computers & Mathematics with Applications. 66 (5), 608–620 (2013).
  • [19] Karaman, B., Karaman, E.: The mathematical dynamics of the Caputo fractional order social media addiction design. Communications in Advanced Mathematical Sciences. 8 (1), 1-10 (2025).
  • [20] Demir, İ., Kirisci, M.: Forecasting COVID-19 Disease Cases Using the SARIMA-NNAR Hybrid Model. Universal Journal of Mathematics and Applications. 5 (1), 15-23 (2022).
  • [21] Tsega, E.: Fitting an epidemiological model to transmission dynamics of COVID-19. Journal of Mathematical Sciences and Modelling. 3 (3), 135-138 (2020).
  • [22] Ahmad, Z., Khan, N., Arif, M., Murtaza, S., Khan, I.: Dynamics of fractional order SIR model with a case study of Covid-19 in Turkey. City University International Journal of Computational Analysis. 4 (1), 18–35 (2020).
  • [23] Aziz, M. M., Mahmood, A. S.: Analysis of dynamical behavior for epidemic disease Covid-19 with application. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12 (4), 568–577 (2021).
  • [24] Bagal, D. K., Rath, A., Barua, A., Patnaik, D.: Estimating the parameters of susceptible-infected-recovered model of Covid-19 cases in India during lockdown periods. Chaos, Solitons & Fractals. 140, 110154 (2020).
  • [25] Farman, M., Akgül, A., Ahmad, A., Baleanu, D., Umer Saleem, M.: Dynamical transmission of coronavirus model with analysis and simulation. Computer Modeling in Engineering & Sciences. 127 (2), 753–769 (2021).
  • [26] Kumar, R., Kumar, S.: A new fractional modelling on susceptible-infected-recovered equations with constant vaccination rate. Nonlinear Engineering. 3 (1), 11–19 (2014).
  • [27] Alshammari, F. S., Khan, M. A.: Dynamic behaviors of a modified SIR model with nonlinear incidence and recovery rates. Alexandria Engineering Journal. 60 (3), 2997–3005 (2021).
  • [28] Odibat, Z. M., Shawagfeh, N. T.: Generalized Taylor’s formula. Applied Mathematics and Computation. 186 (1), 286–293 (2007).
  • [29] Matignon, D.: Stability results for fractional differential equations with applications to control processing. In: Computational Engineering in Systems Applications, Lille, France. 2, 963–968 (1996).
  • [30] Ahmed, E., El-Sayed, A., El-Saka, H. A.: On some Routh–Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rössler, Chua and Chen systems. Physics Letters A. 358 (1), 1–4 (2006).
  • [31] Tomášek, P.: On Euler methods for Caputo fractional differential equations. Archivum Mathematicum. 59 (3), 287–294 (2023).
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  • [36] Vural, C.: On SIR Models with Fractional Derivatives, Master Thesis. Yildiz Technical University, (2024).
  • [37] Alqahtani, R. T.: Mathematical model of SIR epidemic system (Covid-19) with fractional derivative: Stability and numerical analysis. Advances in Difference Equations. 2021 (1), 2 (2021).
  • [38] Mahata, A., Paul, S., Mukherjee, S., Das, M., Roy, B.: Dynamics of Caputo fractional order SEIRV epidemic model with optimal control and stability analysis. International Journal of Applied and Computational Mathematics. 8 (1), 28 (2022).
  • [39] Chitnis, N., Hyman, J. M., Cushing, J. M.: Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. Bulletin of Mathematical Biology. 70, 1272–1296 (2008).

A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics

Year 2025, Volume: 13 Issue: 3, 126 - 143, 06.09.2025
https://doi.org/10.36753/mathenot.1695610

Abstract

The COVID-19 pandemic exposed vulnerabilities in global public health systems, emphasizing the urgent need for effective interventions. Among these, mask-wearing has proven to be a critical measure in reducing viral transmission by limiting respiratory droplet spread. To quantitatively evaluate the impact of mask usage, this study develops a fractional SIR model incorporating mask protection efficiency and mask-wearing rates for both susceptible and infected populations. The model utilizes the Caputo fractional derivative to better capture memory effects in disease transmission dynamics. Stability analysis is conducted, and the basic reproduction number is derived to assess the model's behavior under varying conditions.
The fractional forward Euler method is applied to approximate the system's solutions, and numerical simulations are performed using MATLAB. Real COVID-19 data from Türkiye, spanning April 21–30, 2021, is employed to estimate mask-wearing rates, combined with actual demographic statistics and average mask efficacy values. The results highlight the significant role of mask efficiency and adherence in reducing disease spread, with visualizations providing insights into the effects of parameter variations. This study underscores the critical importance of mask-wearing as a non-pharmaceutical intervention and demonstrates the applicability of fractional calculus in epidemiological modeling.

Thanks

The authors are grateful to the Scientific and Technological Research Council of Türkiye (TUBITAK) for their financial support within the scope of "2211-E (2024/2) Direct Domestic PhD Scholarship Programme" .

References

  • [1] Republic of Türkiye Ministry of Health: First Covid-19 Case in Turkey, https://covid19.saglik.gov.tr/Eklenti/39551/0/ covid-19rehberigenelbilgilerepidemiyolojivetanipdf.pdf
  • [2] Republic of Türkiye Ministry of Health: General Information About Covid-19, https://covid19.saglik.gov.tr/TR-66300/covid-19-nedir-.html
  • [3] Republic of Türkiye Ministry of Health: Social Distance, https://covid19.saglik.gov.tr/TR-66516/sosyalmesafe. html
  • [4] Republic of Türkiye Ministry of Health: Protection From Covid-19, https://www.seyahatsagligi.gov.tr/site/KoronaVirusKorunma
  • [5] Ju, J. T., Boisvert, L. N., Zuo, Y. Y.: Face masks against Covid-19: Standards, efficacy, testing and decontamination methods. Advances in Colloid and Interface Science. 292, 102435 (2021).
  • [6] Baleanu, D., Diethelm, K., Scalas, E., Trujillo, J. J.: Fractional Calculus: Models and Numerical Methods. World Scientific, (2012).
  • [7] Sadki, M., Harroudi, S., Allali, K.: Fractional-order SIR epidemic model with treatment cure rate. Partial Differential Equations in Applied Mathematics. 8, 100593 (2023).
  • [8] Hamdan, N. I., Kilicman, A.: A fractional order SIR epidemic model for dengue transmission. Chaos, Solitons & Fractals. 114, 55–62 (2018).
  • [9] Baba, I. A., Nasidi, B. A.: Fractional order model for the role of mild cases in the transmission of Covid-19. Chaos, Solitons & Fractals. 142, 110374 (2021).
  • [10] Alshomrani, A. S., Ullah, M. Z., Baleanu, D.: Caputo SIr model for Covid-19 under optimized fractional order. Advances in Difference Equations. 2021 (1), 185 (2021).
  • [11] Nenoff, L., Ribeiro, C. O., Matter, M., Hafner, L., Josipovic, M., Langendijk, J. A., Persson, G. F., Walser, M., Weber, D. C., Lomax, A. J., Knopf, A. C., Albertini, F., Zhang, Y.: Deformable image registration uncertainty for inter-fractional dose accumulation of lung cancer proton therapy. Radiotherapy and Oncology. 147, 178–185 (2020).
  • [12] Magin, R. L.: Fractional calculus models of complex dynamics in biological tissues. Computers & Mathematics with Applications. 59 (5), 1586–1593 (2010).
  • [13] Mishra, J.: Telegraph model with fractional differential operators: Nonsingular kernels. Results in Physics. 39, 105762 (2022).
  • [14] Sun, H., Chen, W., Li, C., Chen, Y.: Fractional differential models for anomalous diffusion. Physica A: Statistical Mechanics and its Applications. 389 (14), 2719–2724 (2010).
  • [15] Rehman, H., Shuaib, M., Ismail, E. A., Li, S.: Enhancing medical ultrasound imaging through fractional mathematical modeling of ultrasound bubble dynamics. Ultrasonics Sonochemistry. 100, 106603 (2023).
  • [16] Raza, A., Khan, S. U., Al-Khaled, K., Khan, M. I., Haq, A. U., Alotaibi, F., Abd Allah, A. M., Qayyum, S.: A fractional model for the kerosene oil and water-based Casson nanofluid with inclined magnetic force. Chemical Physics Letters. 787, 139277 (2022).
  • [17] Liang, S., Luo, R., Luo,W.: Fractional differential constitutive model for linear viscoelasticity of asphalt and asphalt mastic. Construction and Building Materials. 306, 124886 (2021).
  • [18] Di Paola, M., Pinnola, F. P., Zingales, M.: Fractional differential equations and related exact mechanical models. Computers & Mathematics with Applications. 66 (5), 608–620 (2013).
  • [19] Karaman, B., Karaman, E.: The mathematical dynamics of the Caputo fractional order social media addiction design. Communications in Advanced Mathematical Sciences. 8 (1), 1-10 (2025).
  • [20] Demir, İ., Kirisci, M.: Forecasting COVID-19 Disease Cases Using the SARIMA-NNAR Hybrid Model. Universal Journal of Mathematics and Applications. 5 (1), 15-23 (2022).
  • [21] Tsega, E.: Fitting an epidemiological model to transmission dynamics of COVID-19. Journal of Mathematical Sciences and Modelling. 3 (3), 135-138 (2020).
  • [22] Ahmad, Z., Khan, N., Arif, M., Murtaza, S., Khan, I.: Dynamics of fractional order SIR model with a case study of Covid-19 in Turkey. City University International Journal of Computational Analysis. 4 (1), 18–35 (2020).
  • [23] Aziz, M. M., Mahmood, A. S.: Analysis of dynamical behavior for epidemic disease Covid-19 with application. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12 (4), 568–577 (2021).
  • [24] Bagal, D. K., Rath, A., Barua, A., Patnaik, D.: Estimating the parameters of susceptible-infected-recovered model of Covid-19 cases in India during lockdown periods. Chaos, Solitons & Fractals. 140, 110154 (2020).
  • [25] Farman, M., Akgül, A., Ahmad, A., Baleanu, D., Umer Saleem, M.: Dynamical transmission of coronavirus model with analysis and simulation. Computer Modeling in Engineering & Sciences. 127 (2), 753–769 (2021).
  • [26] Kumar, R., Kumar, S.: A new fractional modelling on susceptible-infected-recovered equations with constant vaccination rate. Nonlinear Engineering. 3 (1), 11–19 (2014).
  • [27] Alshammari, F. S., Khan, M. A.: Dynamic behaviors of a modified SIR model with nonlinear incidence and recovery rates. Alexandria Engineering Journal. 60 (3), 2997–3005 (2021).
  • [28] Odibat, Z. M., Shawagfeh, N. T.: Generalized Taylor’s formula. Applied Mathematics and Computation. 186 (1), 286–293 (2007).
  • [29] Matignon, D.: Stability results for fractional differential equations with applications to control processing. In: Computational Engineering in Systems Applications, Lille, France. 2, 963–968 (1996).
  • [30] Ahmed, E., El-Sayed, A., El-Saka, H. A.: On some Routh–Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rössler, Chua and Chen systems. Physics Letters A. 358 (1), 1–4 (2006).
  • [31] Tomášek, P.: On Euler methods for Caputo fractional differential equations. Archivum Mathematicum. 59 (3), 287–294 (2023).
  • [32] Republic of Türkiye Ministry of Health: General Covid-19 Table In Turkey, https://covid19.saglik.gov.tr/TR- 66935/genel-koronavirus-tablosu.html
  • [33] Turkish Statistical Institute: Birth Rate in Turkey For 2021, https://data.tuik.gov.tr/Bulten/Index?p=Birth- Statistics-2021-45547
  • [34] Turkish Statistical Institute: Death Rate in Turkey For 2021, https://data.tuik.gov.tr/Bulten/Index?p=lm-velm- Nedeni-statistikleri-2021-45715&dil=1
  • [35] Turkish Statistical Institute: Population of Turkey in 2021, https://data.tuik.gov.tr/Bulten/Index?p=Populationand-Housing-Census-2021-45866
  • [36] Vural, C.: On SIR Models with Fractional Derivatives, Master Thesis. Yildiz Technical University, (2024).
  • [37] Alqahtani, R. T.: Mathematical model of SIR epidemic system (Covid-19) with fractional derivative: Stability and numerical analysis. Advances in Difference Equations. 2021 (1), 2 (2021).
  • [38] Mahata, A., Paul, S., Mukherjee, S., Das, M., Roy, B.: Dynamics of Caputo fractional order SEIRV epidemic model with optimal control and stability analysis. International Journal of Applied and Computational Mathematics. 8 (1), 28 (2022).
  • [39] Chitnis, N., Hyman, J. M., Cushing, J. M.: Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. Bulletin of Mathematical Biology. 70, 1272–1296 (2008).
There are 39 citations in total.

Details

Primary Language English
Subjects Biological Mathematics, Dynamical Systems in Applications
Journal Section Articles
Authors

Elif Demir 0000-0001-5973-9115

Canan Vural 0009-0000-6631-0085

Early Pub Date July 30, 2025
Publication Date September 6, 2025
Submission Date May 8, 2025
Acceptance Date July 25, 2025
Published in Issue Year 2025 Volume: 13 Issue: 3

Cite

APA Demir, E., & Vural, C. (2025). A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics. Mathematical Sciences and Applications E-Notes, 13(3), 126-143. https://doi.org/10.36753/mathenot.1695610
AMA Demir E, Vural C. A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics. Math. Sci. Appl. E-Notes. September 2025;13(3):126-143. doi:10.36753/mathenot.1695610
Chicago Demir, Elif, and Canan Vural. “A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics”. Mathematical Sciences and Applications E-Notes 13, no. 3 (September 2025): 126-43. https://doi.org/10.36753/mathenot.1695610.
EndNote Demir E, Vural C (September 1, 2025) A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics. Mathematical Sciences and Applications E-Notes 13 3 126–143.
IEEE E. Demir and C. Vural, “A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics”, Math. Sci. Appl. E-Notes, vol. 13, no. 3, pp. 126–143, 2025, doi: 10.36753/mathenot.1695610.
ISNAD Demir, Elif - Vural, Canan. “A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics”. Mathematical Sciences and Applications E-Notes 13/3 (September2025), 126-143. https://doi.org/10.36753/mathenot.1695610.
JAMA Demir E, Vural C. A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics. Math. Sci. Appl. E-Notes. 2025;13:126–143.
MLA Demir, Elif and Canan Vural. “A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics”. Mathematical Sciences and Applications E-Notes, vol. 13, no. 3, 2025, pp. 126-43, doi:10.36753/mathenot.1695610.
Vancouver Demir E, Vural C. A Comprehensive Evaluation of the Impact of Mask-Wearing on COVID-19 Transmission Dynamics: A Fractional Calculus Approach to Understanding Public Health Dynamics. Math. Sci. Appl. E-Notes. 2025;13(3):126-43.

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