Extended SEIQR type model for COVID-19 epidemic and data analysis

Mathematical Biosciences and Engineering

Swarnali Sharma¹  Vitaly Volpert²  Malay Banerjee³ 

[1] 1. Department of Mathematics, Vijaygarh Jyotish Ray College, Kolkata - 700032, India;2. Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France 3. INRIA Team Dracula, INRIA Lyon La Doua, 69603 Villeurbanne, France 4. Peoples Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation;5. Department of Mathematics & Statistics, IIT Kanpur, Kanpur - 208016, India;

关键词: covid-19;    reproduction number;    two group model;    relapse;   

DOI  :  10.3934/mbe.2020386

来源: DOAJ

【 摘 要 】

An extended SEIQR type model is considered in order to model the COVID-19 epidemic. It contains the classes of susceptible individuals, exposed, infected symptomatic and asymptomatic, quarantined, hospitalized and recovered. The basic reproduction number and the final size of epidemic are determined. The model is used to fit available data for some European countries. A more detailed model with two different subclasses of susceptible individuals is introduced in order to study the influence of social interaction on the disease progression. The coefficient of social interaction K characterizes the level of social contacts in comparison with complete lockdown (K=0) and the absence of lockdown (K=1). The fitting of data shows that the actual level of this coefficient in some European countries is about 0.1, characterizing a slow disease progression. A slight increase of this value in the autumn can lead to a strong epidemic burst.

【 授权许可】

Unknown