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- 倉橋 節也
- 筑波大学ビジネス科学研究群
書誌事項
- タイトル別名
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- Estimating Effectiveness of Preventing Measures for 2019 Novel Coronavirus Diseases (COVID-19)
抄録
<p>This paper implements the infection process of 2019 Novel Coronavirus Diseases (COVID-19) in an agentbasedmodel and compares the effectiveness of multiple infection prevention measures. In the model, 1120 virtualresidents agents live in two towns where they commute to office or school and visiting stores. The model simulates aninfection process in which they were exposed to the risk of transmission of the novel coronavirus. The results of theexperiments showed that individual infection prevention measures (commuting, teleworking, class closing, contactrate reduction, staying at home after fever) alone or partially combined them do not produce significant effects. Onthe other hand, if comprehensive measures were taken, it was confirmed that the number of deaths, the infectionrate, and the number of severe hospitalised patients per day were decreased significantly at the median and maximumrespectively.</p>
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 35 (3), D-K28_1-8, 2020-05-01
一般社団法人 人工知能学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390848250109095680
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- NII論文ID
- 130007839544
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可