An Epidemic Model with Time-Distributed Recovery and Death Rates

被引：16

作者：

Ghosh, Samiran ^{[1
]}

Volpert, Vitaly ^{[2
,3
]}

Banerjee, Malay ^{[1
]}

机构：

[1] Indian Inst Technol Kanpur, Dept Math & Stat, Kanpur 208016, Uttar Pradesh, India

[2] Univ Lyon 1, Inst Camille Jordan, UMR CNRS 5208, F-69622 Villeurbanne, France

[3] RUDN Univ, Peoples Friendship Univ Russia, 6 Miklukho Maklaya St, Moscow 117198, Russia

来源：

BULLETIN OF MATHEMATICAL BIOLOGY | 2022年 / 84卷 / 08期

关键词：

Epidemic model; Variable recovery rate; SIR model; Effective infection rate; TEMPORARY IMMUNITY; INFLUENZA-VIRUS; H1N1; INFLUENZA; DISEASE; TRANSMISSION; INCUBATION; DYNAMICS; PERIODS; SPREAD; SARS;

D O I：

10.1007/s11538-022-01028-0

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates are evaluated from COVID-19 data. The model is validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model. The time-dependent disease transmission rate is estimated.

引用

页数：19

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