Mathematical Modelling of COVID-19 Using ODEs

被引：0
作者：
Mahato, Dharmendra Prasad [1 ]
Rani, Radha [2 ]
机构：
[1] Natl Inst Technol Hamirpur, Dept Comp Sci & Engn, Hamirpur 177005, Himachal Prades, India
[2] Galgotias Univ, Sch Comp Sci & Engn, Plot 2,Sect 17-A Yamuna Expressway,Opposite Buddh, Greater Noida 203201, Uttar Pradesh, India
来源：
ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 6, AINA 2024 | 2024年 / 204卷
关键词：
COVID-19; pandemic; virus; Ordinary Differential Equation;
D O I：
10.1007/978-3-031-57942-4_16
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
COVID-19 is the disease caused by the SARS-CoV-2 coronavirus. Globally, as of 6:32pm CEST, 19 September 2023, there have been 772 838 745 confirmed cases of COVID-19, including 6 988 679 deaths, reported to WHO. The number of confirmed cases still are being seen. In this paper, we present a prediction model baased on Ordinary Differential Equations. The prediction model takes the help fom the susceptible-exposed-infected-recovered (SEIR) family of compartmental models. The SEIR is a type of epidemiological models. In this paper we also focus on the reinfection rate among the people from the virus SARS-CoV-2 after they have recovered.
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页码：145 / 156
页数：12
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