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Isolation in the control of epidemic.
Zhou, Yong; Guo, Minrui.
  • Zhou Y; College of Science, Wuhan University of Science and Technology, Wuhan 430065, China.
  • Guo M; College of Energy Engineering, Huanghuai University, Zhumadian 463000, China.
Math Biosci Eng ; 19(11): 10846-10863, 2022 07 29.
Article in English | MEDLINE | ID: covidwho-1979474
ABSTRACT
Among many epidemic prevention measures, isolation is an important method to control the spread of infectious disease. Scholars rarely study the impact of isolation on disease dissemination from a quantitative perspective. In this paper, we introduce an isolation ratio and establish the corresponding model. The basic reproductive number and its biological explanation are given. The stability conditions of the disease-free and endemic equilibria are obtained by analyzing its distribution of characteristic values. It is shown that the isolation ratio has an important influence on the basic reproductive number and the stability conditions. Taking the COVID-19 in Wuhan as an example, isolating more than 68% of the population can control the spread of the epidemic. This method can provide precise epidemic prevention strategies for government departments. Numerical simulations verify the effectiveness of the results.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Epidemics / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022507

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Epidemics / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022507