The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 20-815
Full Name: Wannika Jumpen
Position: Lecturer
Age: ON
Sex: Female
Address: Department of Mathematics, Faculty of Science, Mahidol University, 272 Rama VI Road, Ratchathewi District, Bangkok 10400
Country: THAILAND
Tel: 22015541
Tel prefix: +66
Fax: 22015343
E-mail address: scwjp@mahidol.ac.th
Other E-mails: scsok@mahidol.ac.th
Title of the Paper: SEIQR-SIS epidemic network model and its stability
Authors as they appear in the Paper: Wannika Jumpen, Somsak Orankitjaroen, Pichit Boonkrong, Benchawan Wiwatanapataphee
Email addresses of all the authors: scwjp@mahidol.ac.th, scsok@mahidol.ac.th, pijiito@gmail.com, scbww@mahidol.ac.th
Number of paper pages: 8
Abstract: In this paper, we propose an SEIQR-SIS epidemic network model to study pandemic influenza and derive the approximate threshold condition (basis reproductive number) to examine the stability of the model. The numerical simulation of the disease transmission in the adaptive social network with people nodes and hub nodes is presented. The network parameters including visiting probability, hub radius and contact radius are used to investigate their impacts on the disease transmission. Our results show that these network parameters have a significant effect on the disease spread.
Keywords: Adaptive network, Stability analysis, SEIQRSIS epidemic model, Pandemic influenza, Reproductive number.
EXTENSION of the file: .pdf
Special (Invited) Session: SIS-SEIQR adaptive network model for pandemic influenza
Organizer of the Session: 652-209
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