2022 Fiscal Year Annual Research Report
Co-evolution of epidemics, interventions, and behavior in network epidemiology
| Project/Area Number |
21H04595
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| Research Institution | Kobe University |
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Principal Investigator |
Holme Petter 神戸大学, 計算社会科学研究センター, リサーチフェロー (50802352)
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| Co-Investigator(Kenkyū-buntansha) |
高安 美佐子 東京工業大学, 科学技術創成研究院, 教授 (20296776)
井深 陽子 慶應義塾大学, 経済学部(三田), 教授 (20612279)
増田 直紀 早稲田大学, 理工学術院, 教授(任期付) (40415295)
浅井 雄介 国立研究開発法人国立国際医療研究センター, 国際感染症センター, 研究員 (70779991)
Beauchemin Catherine 国立研究開発法人理化学研究所, 数理創造プログラム, 副プログラムディレクター (70898931)
村田 剛志 東京工業大学, 情報理工学院, 教授 (90242289)
上東 貴志 神戸大学, 計算社会科学研究センター, 教授 (30324908)
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| Project Period (FY) |
2021-04-05 – 2025-03-31
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| Keywords | Network epidemiology / Network science / Theoretical epidemiology / Game theory / Behavioral modeling |
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| Outline of Annual Research Achievements |
During FY 2022, we published several papers on the core topics of this research program. For example, we published a paper about how to use previous observations of influenza for forecasting COVID-19 outbreaks and how to automate the extraction of epidemic-relevant information from doctors' reports by AI. Other works covered general models of spreading processes and how to balance breadth and depth in contact tracing if the goal is to find the source of an infection.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
This project follows the outline of the original research program relatively closely. Some advances we made were beyond the scope we could originally predict, such as the use of language models for data extraction. Others are maybe slightly altered. We do, for example, not now intend to build models of behavioral feedback on temporal network models (since these assume data of human mobility that has a much higher resolution than available. Rather, we use somewhat more mainstream, aggregated models.
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| Strategy for Future Research Activity |
Our research follow the general research trends. The results from the present project is pointing towards integration with models from artificial intelligence and more information-rich representations.
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[Journal Article] Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model2022
Author(s)
Zhizheng Wang, Xiao Fan Liu, Zhanwei Du, Lin Wang, Ye Wu, Petter Holme, Michael Lachmann, Hongfei Lin, Zoie S. Y. Wong, Xiao-Ke Xu, Yuanyuan Sun
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Journal Title
iScience
Volume: 25
Pages: 105079
DOI
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Vital Surveillances: Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities)2022
Author(s)
Yuan Bai, Mingda Xu, Caifen Liu, Mingwang Shen, Lin Wang, Linwei Tian, Suoyi Tan, Lei Zhang, Petter Holme, Xin Lu, Eric H. Y. Lau, Benjamin J. Cowling, Zhanwei Du
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Journal Title
China CDC Weekly
Volume: 4
Pages: 885-889
DOI
Peer Reviewed / Open Access / Int'l Joint Research
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