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10.3934/mbe.2021095

http://scihub22266oqcxt.onion/10.3934/mbe.2021095
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33757213!ä!33757213

suck abstract from ncbi


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pmid33757213      Math+Biosci+Eng 2021 ; 18 (2): 1833-1844
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  • Global dynamics of COVID-19 epidemic model with recessive infection and isolation #MMPMID33757213
  • Yuan R; Ma Y; Shen C; Zhao J; Luo X; Liu M
  • Math Biosci Eng 2021[Feb]; 18 (2): 1833-1844 PMID33757213show ga
  • 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 R(0)<1 and the positive equilibrium is uniformly persistent when the condition R(0)>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.
  • |*Epidemics/prevention & control/statistics & numerical data[MESH]
  • |*Models, Biological[MESH]
  • |*SARS-CoV-2[MESH]
  • |Asymptomatic Infections/epidemiology[MESH]
  • |Basic Reproduction Number/statistics & numerical data[MESH]
  • |COVID-19/*epidemiology/prevention & control/transmission[MESH]
  • |Computer Simulation[MESH]
  • |Humans[MESH]
  • |India/epidemiology[MESH]
  • |Markov Chains[MESH]
  • |Mathematical Concepts[MESH]
  • |Monte Carlo Method[MESH]
  • |Pandemics/prevention & control/statistics & numerical data[MESH]


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