Mathematical Model of COVID-19 Pandemic and Related Analysis

Abstract

The respiratory illness COVID-19 originates from the novel coronavirus SARS-CoV-2. Following its initial identification in Wuhan, China, in December 2019, this virus rapidly disseminated worldwide, resulting in a widespread global pandemic. On the world’s economy, daily life, and public health, COVID-19 has had a huge impact. In order to comprehend the dynamics of the pandemic and to direct public health strategies, mathematical models have shown to be helpful. This manuscript presents a Susceptible-Infected-Quarantine-Recovered (SIQR) model to simulate the progression of the COVID-19 pandemic in Beijing, China. The model incorporates five distinct compartments, namely Susceptible (S), Infected (I), Recovered (R), Quarantined (Q), and Death (D). This model is solved by Euler’s Method and get the formulations of the classes. Numerical simulations are employed to complement the mathematical analysis of the model. The findings of our study indicate that the widespread and effective utilization of masks significantly impedes the progression of the COVID-19 pandemic.