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Global dynamics of COVID-19 epidemic model with recessive infection and isolation.
Yuan, Rong; Ma, Yangjun; Shen, Congcong; Zhao, Jinqing; Luo, Xiaofeng; Liu, Maoxing.
  • Yuan R; School of Science, North University of China, Taiyuan 030051, China.
  • Ma Y; School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing 400074, China.
  • Shen C; School of Information, Beijing Wuzi University, Beijing 101149, China.
  • Zhao J; State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
  • Luo X; School of Science, North University of China, Taiyuan 030051, China.
  • Liu M; School of Science, North University of China, Taiyuan 030051, China.
Math Biosci Eng ; 18(2): 1833-1844, 2021 02 22.
Article in English | MEDLINE | ID: covidwho-1145636
ABSTRACT
In this paper, we present an SEIIaHR epidemic model to study the influence of recessive infection and isolation in the spread of COVID-19. We first prove that the infection-free equilibrium is globally asymptotically stable with condition R0<1 and the positive equilibrium is uniformly persistent when the condition R0>1. By using the COVID-19 data in India, we then give numerical simulations to illustrate our results and carry out some sensitivity analysis. We know that asymptomatic infections will affect the spread of the disease when the quarantine rate is within the range of [0.3519, 0.5411]. Furthermore, isolating people with symptoms is important to control and eliminate the disease.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Observational study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Math Biosci Eng Year: 2021 Document Type: Article Affiliation country: Mbe.2021095

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Observational study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Math Biosci Eng Year: 2021 Document Type: Article Affiliation country: Mbe.2021095