Fractional-Order COVID-19 Model in Indonesia with Comorbidity and Immunization: PID Control, Ulam-Hyers Stability, and Biosecurity Implications

Muhammad Farman, Cicik Alfiniyah, Fatmawati Fatmawati, Muhammad Abdurrahman Rois, Khadija Jamil

Abstract


In this paper, we developed a fractal fractional model for Covid-19 dynamics in Indonesia with comorbidity and various immunization stages doses is presented and examined. The system is analysed disease-free according to reproductive number. We conducted both qualitative and quantitative research on the COVID-19 model using the Atangana-Baleanu fractal-fractional operator. We demonstrated the existence and uniqueness of the model with the Atangana-Baleanue fractal-fractional operator as continuous and compact integral components, by means of Krasnoselskii fixed point theorem. We ensure that our proposed model has a unique fixed-point solution by including the properties of both the Schauder and Krasnoselskii theorems into the contraction mapping. We conduct a thorough examination of the suggested model’s stability using the Ulam-Hyers stability concept. We discuss how the Proportional Integral Derivative (PID) impact in a fractional COVID-19 model improves stability. Since these control methods have a great potential to improve overall treatment outcomes, minimise side effects, and correctly regulate these treatments to achieve this goal, their use will stabilise the dynamics behaviour while accurately regulating the administration, leading to better vaccination outcomes with fewer adverse effects inferred from this. A numerical approach based on Lagrange interpolation is presented. The dynamics of disease transmission throughout a range of fractional-order ϖ and fractal dimensions ϑ are then visually represented by the numerical results that have been obtained. The findings demonstrate the deep impact of fractional dynamics and fractal dimensions on the processes of vaccination, recovery, and propagation, exposing intricate, time-dependent epidemic characteristics.

Keywords


Covid-19 model; Ulam-Hyers Stability; PID control; Fractal fractional operator; Mittag-Leffer kernel; Newton polynomial

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References


Worldometers“Indonesia COVID - Coronavirus Statistics," https://www.worldometers.info/coronavirus/, 2021, Accessed on 15 April 2021.

WHO, “Pertimbangan-pertimbangan untuk karantina individu dalam konteks penanggulangan penyakit coronavirus (COVID-19)," 2020.

M. Coccia, “Improving preparedness for next pandemics: Max level of COVID-19 vaccinations without social impositions to design effective health policy and avoid flawed democracies," Environmental research, vol. 13, p. 113566, 2022. DOI:10.1016/j.envres.2022.113566

M. A. Rois, Fatmawati, and C. Alfiniyah, “Two isolation treatments on the COVID-19 model and optimal control with public education," Jambura Journal of Biomathematics (JJBM), vol. 4, no. 1, pp. 88–94, 2023. DOI:10.34312/jjbm.v4i1.19963

M. A. Rois et al., “Modeling and optimal control of COVID-19 with comorbidity and three-dose vaccination in Indonesia," Journal of Biosafety and Biosecurity, vol. 6, no. 3, pp. 181–195, 2024. DOI:10.1016/j.jobb.2024.06.004

M. Caputo and M. Fabrizio, “A new definition of fractional derivative without singular kernel," Progress in Fractional Differentiation & Applications, vol. 1, no. 2, pp. 73–85, 2015.

J. Losada and J. J. Nieto, “Properties of a new fractional derivative without singular kernel,". Progr. Fract. Differ. Appl., vol. 1, no. 2, pp. 87–92, 2015.

A. Atangana and B. S. T. Alkahtani, “Analysis of the Keller Segel model with a fractional derivative without singular kernel," Entropy, vol. 17, no. 6, pp. 4439–4453, 2015. DOI:10.3390/e17064439

M. Farman et al., “A control of glucose level in insulin therapies for the development of artificial pancreas by Atangana Baleanu derivative,". Alexandria Engineering Journal, vol. 59, no. 4, pp. 2639–2648, 2020. DOI:10.1016/j.aej.2020.04.027

M. Toufik and A. Atangana, “New numerical approximation of fractional derivative with non-local and non-singular kernel: application to chaotic models," The european physical journal plus, vol. 132, pp. 1–16, 2017. DOI:10.1140/epjp/i2017-11717-0

M. A. Khan et al., “The dynamics of COVID-19 with quarantined and isolation," Advances in Difference Equations, vol. 2020, no. 1, p. 425, 2020. DOI:10.1186/s13662-020-02882-9

E. M. Abd-Elaziz, M. Marin, and M. I. Othman, “On the effect of Thomson and initial stress in a thermo-porous elastic solid under GN electromagnetic theory," Symmetry, vol. 11, no. 3, p. 413, 2019. DOI:10.3390/sym11030413

S. Jamil et al., “Stability and complex dynamical analysis of COVID-19 epidemic model with non-singular kernel of Mittag-Leffler law," Journal of Applied Mathematics and Computing, vol. 70, pp. 3441–3476, 2024. DOI:10.1007/s12190-024-02105-4

M. Farman et al., “Numerical study and dynamics analysis of diabetes mellitus with co-infection of COVID-19 virus by using fractal fractional operator," Scientific Reports, vol. 14, no. 1, p. 16489, 2024. DOI:10.1038/s41598-024-60168-6

P. A. Naik et al., “Analysis and modeling with fractal-fractional operator for an epidemic model with reference to COVID-19 modeling," Partial Differential Equations in Applied Mathematics, vol. 10, p. 100663, 2024. DOI:10.1016/j.padiff.2024.100663

K. S. Nisar et al., “A review of fractional order epidemic models for life sciences problems: Past, present and future," Alexandria Engineering Journal, vol. 95, pp. 283–305, 2024. DOI:10.1016/j.aej.2024.03.059

M. Farman and C. Alfiniyah, “A constant proportional caputo operator for modeling childhood disease epidemics," Decision Analytics Journal, vol. 10, p. 100393, 2024. DOI:10.1016/j.dajour.2023.100393

A. Atangana, “Fractal-fractional differentiation and integration: connecting fractal calculus and fractional calculus to predict complex system," Chaos, solitons & fractals, vol. 102, pp. 396–406, 2017. DOI:10.1016/j.chaos.2017.04.027

A. Atangana and D. Baleanu, “New fractional derivatives with nonlocal and non-singular kernel: Theory and application to heat transfer model," Thermal Science, vol. 20, no. 2, pp. 763–769, 2016. DOI:10.2298/TSCI160111018A

L. C. D. Barros et al., “The memory effect on fractional calculus: an application in the spread of COVID-19," Comp. Appl. Math., vol. 40, no. 3, p. 72, 2021. DOI:10.1007/s40314-021-01456-z

R. Zarin and U. W. Humphries, “Modeling the dynamics of COVID-19 Epidemic with a reaction-diffusion framework: a case study from Thailand,"a˘Eur. Phys. J. Plus,a˘vol. 139, p. 1076, 2024. DOI:10.1140/epjp/s13360-024-05870-0

W. Wu et al.,a˘“The effect of time delay on the dynamics of a fractional-order epidemic model,"a˘Adv Cont Discr Mod, vol. 9, pp. 1–33, 2025. DOI:10.1186/s13662-025-03868-1

J. Ssebuliba et al.), “Mathematical modelling of COVID-19 transmission dynamics in a partially comorbid community," Partial Differential Equations in Applied Mathematics, vol. 5, p. 100212, 2022. DOI:10.1016/j.padiff.2021.100212

V. Ambalarajan et al., “Multi-strain COVID-19 dynamics with vaccination strategies: Mathematical modeling and case study," Alexandria Engineering Journal, vol. 119, pp. 665-684, 2025. DOI:10.1016/j.aej.2025.01.105.




DOI: https://doi.org/10.37905/jjbm.v6i4.34027

Copyright (c) 2025 Muhammad Farman, Cicik Alfiniyah, Fatmawati, Muhammad Abdurrahman Rois, Khadija Jamil

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