Literature DB >> 33378910

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

Swarnali Sharma1, Vitaly Volpert2,3,4, Malay Banerjee5.   

Abstract

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.

Entities:  

Keywords:  COVID-19 ; relapse ; reproduction number ; two group model

Year:  2020        PMID: 33378910     DOI: 10.3934/mbe.2020386

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  6 in total

1.  Addressing External Shock in Urban Agglomeration: Implications From the Transmission Pattern of COVID-19 in the Beijing-Tianjin-Hebei Area.

Authors:  Daohan Huang; Fenghua Wen; Shunru Li
Journal:  Front Public Health       Date:  2022-05-11

2.  Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves.

Authors:  James Matuk; Xiaohan Guo
Journal:  Spat Stat       Date:  2021-10-22

3.  Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19.

Authors:  Arthur Bousquet; William H Conrad; Said Omer Sadat; Nelli Vardanyan; Youngjoon Hong
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

4.  A fractional-order mathematical model for COVID-19 outbreak with the effect of symptomatic and asymptomatic transmissions.

Authors:  Zeeshan Ali; Faranak Rabiei; Mohammad M Rashidi; Touraj Khodadadi
Journal:  Eur Phys J Plus       Date:  2022-03-28       Impact factor: 3.911

5.  An Epidemic Model with Time-Distributed Recovery and Death Rates.

Authors:  Samiran Ghosh; Vitaly Volpert; Malay Banerjee
Journal:  Bull Math Biol       Date:  2022-06-28       Impact factor: 3.871

6.  Discrete-time COVID-19 epidemic model with chaos, stability and bifurcation.

Authors:  K S Al-Basyouni; A Q Khan
Journal:  Results Phys       Date:  2022-10-13       Impact factor: 4.565

  6 in total

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