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Asymptotic profiles of the steady states for an SIS epidemic patch model with asymmetric connectivity matrix.
Chen, Shanshan; Shi, Junping; Shuai, Zhisheng; Wu, Yixiang.
Affiliation
  • Chen S; Department of Mathematics, Harbin Institute of Technology, Weihai, 264209, Shandong, People's Republic of China.
  • Shi J; Department of Mathematics, William & Mary, Williamsburg, VA, 23187-8795, USA. jxshix@wm.edu.
  • Shuai Z; Department of Mathematics, University of Central Florida, Orlando, FL, 32816, USA.
  • Wu Y; Department of Mathematics, Middle Tennessee State University, Murfreesboro, TN, 37132, USA.
J Math Biol ; 80(7): 2327-2361, 2020 06.
Article in En | MEDLINE | ID: mdl-32377791
The dynamics of an SIS epidemic patch model with asymmetric connectivity matrix is analyzed. It is shown that the basic reproduction number [Formula: see text] is strictly decreasing with respect to the dispersal rate of the infected individuals. When [Formula: see text], the model admits a unique endemic equilibrium, and its asymptotic profiles are characterized for small dispersal rates. Specifically, the endemic equilibrium converges to a limiting disease-free equilibrium as the dispersal rate of susceptible individuals tends to zero, and the limiting disease-free equilibrium has a positive number of susceptible individuals on each low-risk patch. Furthermore, a sufficient and necessary condition is provided to characterize that the limiting disease-free equilibrium has no positive number of susceptible individuals on each high-risk patch. Our results extend earlier results for symmetric connectivity matrix, providing a positive answer to an open problem in Allen et al. (SIAM J Appl Math 67(5):1283-1309, 2007).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / Epidemics / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Math Biol Year: 2020 Document type: Article Country of publication: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / Epidemics / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Math Biol Year: 2020 Document type: Article Country of publication: Alemania