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A MATHEMATICAL MODELING OF COVID-19 WITH OPTIMAL CONTROL DYNAMICS: INSIGHTS FROM IRAN | ||
| Computational Methods for Differential Equations | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 10 تیر 1405 اصل مقاله (2.02 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/cmde.2026.70032.3460 | ||
| نویسندگان | ||
| Hossein Gholami Chahkand1؛ Mortaza Gachpazan1؛ Majid Erfanian* 2 | ||
| 1Department of Applied Mathematics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran. | ||
| 2Department of Mathematics, Faculty of Science, University of Zabol, Zabol, Iran. | ||
| چکیده | ||
| In this paper, we propose a mathematical model for the transmission of coronavirus-19 disease (COVID-19) to understand under which conditions it will be eradicated or persisted. The dynamics of COVID-19 for this study is divided into seven classes: susceptible, vaccinated, exposed, symptomatically infected, a symptomatically infected, quarantined, and recovered. The model has both disease-free and endemic equilibria. The basic reproduction number (R0) is computed using the next-generation matrix method. It is shown that the disease-free equilibrium is both locally and globally asymptotically stable, whereas the endemic equilibrium is proved to be only locally asymptotically stable. From March 31, 2020, to July 31, 2021, Iran experienced four waves of COVID-19. The observed monthly cumulative cases were approximated by quadratic polynomials, and their shapes were evaluated for consistency with the qualitative dynamics predicted by the model. We have formulated and solved an optimal control problem to understand the effects of performance of vaccination of susceptible individuals and treatment of quarantined individuals to hinder the outbreak of this illness. Finally, sensitivity analysis and numerical simulations confirmed that the implementation of quarantine, vaccination, and putting on face masks will help to minimize the spread of the COVID-19 virus. | ||
| کلیدواژهها | ||
| Basic reproduction number؛ Equilibria؛ Stability؛ Optimal control؛ Sensitivity analysis | ||
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