Abstract

In this study, we develop a mathematical model to examine the dynamics of COVID-19 with diabetes. Recognizing the increased vulnerability of diabetic patients, we proposed separate isolation classes for COVID-19 cases with and without diabetes. The model is parameterized using real data from India for the period March 2021 to September 2021. Sensitivity analysis for the basic reproduction number shows that isolation (for COVID-19 with diabetes) plays a significant role in lessening COVID-19 cases. Through numerical evaluations, we demonstrate that timely and focused care, including hospitalization/isolation, and treatment for COVID-19 patients with diabetes, can substantially reduce the disease burden by nearly three-fold. The optimal control problem with different strategies has also been discussed. We obtain that vaccination (with the least Average Cost-Effectiveness Ratio (ACER) and a combined strategy (with the highest Infection-Averted Ratio (IAR) are the most cost-saving and effective interventions to eradicate the disease.

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