Deterministic and Stochastic Simulation of the COVID-19 Epidemic with the SEIR Model

被引：0
|
作者：
Balsa, Carlos [1 ]
Guarda, Teresa [2 ,3 ,4 ]
Lopes, Isabel [5 ]
Rufino, Jose [1 ]
机构：
[1] Inst Politecn Braganca, Res Ctr Digitalizat & Intelligent Robot CeDRI, Braganca, Portugal
[2] Univ Estatal Peninsula Santa Elena UPSE, La Libertad, Ecuador
[3] Univ Fuerzas Armada ESPE, Quito, Ecuador
[4] Univ Minho, Ctr ALGORITMI, Braga, Portugal
[5] Inst Politecn Braganca, Appl Management Res Unit UNIAG, Braganca, Portugal
来源：
PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021) | 2021年
关键词：
SEIR model; COVID-19; numerical simulations;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work regards the simulation of the spread of the COVID-19 disease in a community by applying the deterministic and stochastic Susceptible-allows to realistically simulate the spread of COVID-19 in a medium-sized community and to study the effect of preventive measures such as quarantine and vaccination. The results of the simulations are compared with the deterministic version of the SEIR model. The comparison makes it possible to conclude that the epidemic outbreak can be prevented even though the basic reproduction number is greater than one.
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页数：6
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