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Paper Abstract and Keywords
Presentation 2022-11-17 13:15
Study of duration of school closure using the COVID-19 infection simulation by MAS
Ken Nakajima, Ikumi Anda, Nao Ito (NITT) CAS2022-37 MSS2022-20
Abstract (in Japanese) (See Japanese page) 
(in English) COVID-19 is still raging in Japan, and the number of new cases per day exceeded 260,000 in August 2022. COVID-19 has had variant strains such as the Alpha, the Beta and the Omicron variants, and each variant shows differences in disease status and infectivity. By using Multi-Agent-Simulation (MAS) which can model social phenomena through the interaction of multiple agents, we have developed an SEIARD infection simulation model which takes into account the agents’ daily behavior. The proposed model can manipulate parameters such as incubation period, lethality rate and infection probability, and can simulate the infection situation in a city on each variant strain. The purpose of this study is to discuss strategies of school closure under the case of epidemic of the Omicron variant which has a high susceptibility for children, by using our proposed model. The results showed that COVID-19 infection could be better controlled if school closure was introduced at a time when the number of infected patients was small.
Keyword (in Japanese) (See Japanese page) 
(in English) Infection simulation / SEIARD Model / School closure / Multi Agent / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 253, CAS2022-37, pp. 2-6, Nov. 2022.
Paper # CAS2022-37 
Date of Issue 2022-11-10 (CAS, MSS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CAS2022-37 MSS2022-20

Conference Information
Committee CAS MSS IPSJ-AL  
Conference Date 2022-11-17 - 2022-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CAS 
Conference Code 2022-11-CAS-MSS-AL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of duration of school closure using the COVID-19 infection simulation by MAS 
Sub Title (in English)  
Keyword(1) Infection simulation  
Keyword(2) SEIARD Model  
Keyword(3) School closure  
Keyword(4) Multi Agent  
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1st Author's Name Ken Nakajima  
1st Author's Affiliation National Institute of Technology Toyama College (NITT)
2nd Author's Name Ikumi Anda  
2nd Author's Affiliation National Institute of Technology Toyama College (NITT)
3rd Author's Name Nao Ito  
3rd Author's Affiliation National Institute of Technology Toyama College (NITT)
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Speaker Author-1 
Date Time 2022-11-17 13:15:00 
Presentation Time 20 minutes 
Registration for CAS 
Paper # CAS2022-37, MSS2022-20 
Volume (vol) vol.122 
Number (no) no.253(CAS), no.254(MSS) 
Page pp.2-6 
#Pages 5 
Date of Issue 2022-11-10 (CAS, MSS) 

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