SEIR model of disease transmission on complex network

แบบจำลอง SEIR ของการแพร่ระบาดของโรคบนเครือข่ายที่ซับซ้อน

Name: Pathamaporn Awachai

LCSH: Communicable diseases -- Mathematical models

LCSH: Influenza -- Mathematical models

Abstract: This thesis aimed to propose four algorithms in order to generate four different complex networks and present a numerical study for the spreading of SEIR infections on complex population networks. The four networks were as follows a homogeneous network, a dynamic local network, a dynamic random network and a dynamic small-world network. We proposed adaptive social networks with dynamic hubs to capture real situations in the human community. A combination of the standard Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model and the network developed was used to simulate the epidemic in the network. It was found that this approach was able to capture the essential features of the epidemic in a real-world community.

Mahidol University. Mahidol University Library and Knowledge Center

Address: NAKHONPATHOM

Email: liwww@mahidol.ac.th

Name: Benchawan Wiwatanapataphee

Role: Thesis Advisors

Created: 2009

Modified: 2553-07-14

Issued: 2010-07-13

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: TH P297s 2009

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Applied Mathematics

Grantor: Mahidol University

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