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Vanishing and spreading conditions for a free-boundary epidemic model with subclinical infections and vaccination.
Chen, Fangyuan; Chen, Siya; Yang, Weizhong.
Afiliação
  • Chen F; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Chen S; Taikang Bybo Dental, Beijing 100070, China.
  • Yang W; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Math Biosci Eng ; 19(7): 6523-6535, 2022 04 25.
Article em En | MEDLINE | ID: mdl-35730270
ABSTRACT
This paper presents a free-boundary epidemic model with subclinical infections and vaccination.We prove the existence and uniqueness of solutions to the model.Moreover, sufficient conditions for the disease vanishing and spreading are given.The disease will vanish if the basic reproduction number $ R_0 < 1 $, that the corresponding ODE model defines without spatial expansion. However, the disease will spread to the whole area if $ R^F_0(t_0) > 1 $ for some $ t_0 > 0 $ when it is introduced spatial heterogeneity. $ R^F_0(0) < R_0 $ implies that the spillovers from hotspots to areas with no confirmed cases will reduce the outbreak threshold and increase the difficulty of prevention and control in the whole region. Under the condition $ R^F_0(0) < 1 < R_0 $, if the free boundary condition of infectives $ h(t) < \infty $, $ t \to \infty $, then the disease is vanishing, which indicates that $ R^F_0(0) < 1 $ can also control the disease if the scope of hotspots expansion is limited. Furthermore, the numerical simulations illustrate that the routine vaccination would decrease the basic reproduction number and then change the disease from spreading to vanishing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Assintomáticas / Epidemias Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Assintomáticas / Epidemias Limite: Humans Idioma: En Revista: Math Biosci Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China