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Hayashi Katsuma  林 克磨

ORCIDConnect your ORCID iD *help
Researcher Number 90866039
Other IDs
Affiliation (Current) 2025: 京都大学, 医学研究科, 特定助教
Affiliation (based on the past Project Information) *help 2020 – 2023: 京都大学, 医学研究科, 特定助教
Review Section/Research Field
Principal Investigator
Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
Keywords
Principal Investigator
Policy making / Epidemic / Mathematical model / Fatality risk / Disease burden / 死因統計 / 超過死亡 / COVID-19 / epidemic / Vaccine / mathematical modeling / Climate change / Dengue
  • Research Projects

    (2 results)
  • Research Products

    (18 results)
  •  A Comprehensive Study of the Mortality Risk of COVID-19Principal Investigator

    • Principal Investigator
      林 克磨
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
    • Research Institution
      Kyoto University
  •  Optimal utilization strategy of dengue vaccine using mathematical modelPrincipal Investigator

    • Principal Investigator
      Hayashi Katsuma
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
    • Research Institution
      Kyoto University

All 2024 2023 2022 2021

All Journal Article Presentation

  • [Journal Article] Decomposing mechanisms of COVID-19 mortality in empirical datasets: A modeling study.2024

    • Author(s)
      Zhang T, Qiao J, Hayashi K, Nishiura H
    • Journal Title

      Theor Biol.

      Volume: 584 Pages: 111771-111771

    • DOI

      10.1016/j.jtbi.2024.111771

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K09712, KAKENHI-PROJECT-23K21519
  • [Journal Article] Identifying High-Risk Events for COVID-19 Transmission: Estimating the Risk of Clustering Using Nationwide Data2023

    • Author(s)
      M. Ueda, K. Hayashi, H. Nishiura
    • Journal Title

      Viruses

      Volume: 15 Issue: 2 Pages: 456-456

    • DOI

      10.3390/v15020456

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K09712, KAKENHI-PROJECT-23K21519
  • [Journal Article] Projecting the COVID-19 immune landscape in Japan in the presence of waning immunity and booster vaccination2023

    • Author(s)
      Sasanami Misaki、Fujimoto Marie、Kayano Taishi、Hayashi Katsuma、Nishiura Hiroshi
    • Journal Title

      Journal of Theoretical Biology

      Volume: 559 Pages: 111384-111384

    • DOI

      10.1016/j.jtbi.2022.111384

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K10495, KAKENHI-PROJECT-20K18953, KAKENHI-PROJECT-23K21519
  • [Journal Article] Habitual Mask Wearing as Part of COVID-19 Control in Japan: An Assessment Using the Self-Report Habit Index.2023

    • Author(s)
      Li T, Fujimoto M, Hayashi K, Anzai A, Nishiura H
    • Journal Title

      Behav Sci (Basel)

      Volume: 13 Issue: 11 Pages: 951-951

    • DOI

      10.3390/bs13110951

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K09712, KAKENHI-PROJECT-23K21519
  • [Journal Article] Possible adaptation measures for climate change in preventing heatstroke among older adults in Japan2023

    • Author(s)
      Fujimoto M, Hayashi K, Nishiura H
    • Journal Title

      Front Public Health

      Volume: 11 Pages: 1-1

    • DOI

      10.3389/fpubh.2023.1184963

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K09712, KAKENHI-PROJECT-23KJ1228, KAKENHI-PROJECT-23K21519
  • [Journal Article] Quantifying the future risk of dengue under climate change in Japan2022

    • Author(s)
      Hayashi Katsuma、Fujimoto Marie、Nishiura Hiroshi
    • Journal Title

      Frontiers in Public Health

      Volume: 10

    • DOI

      10.3389/fpubh.2022.959312

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K18953, KAKENHI-PROJECT-23K21519
  • [Journal Article] Time-dependent risk of COVID-19 death with overwhelmed health-care capacity in Japan, 2020?20222022

    • Author(s)
      Hayashi Katsuma、Nishiura Hiroshi
    • Journal Title

      BMC Infectious Diseases

      Volume: 22 Issue: 1 Pages: 22-933

    • DOI

      10.1186/s12879-022-07929-8

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K18953, KAKENHI-PROJECT-23K21519
  • [Journal Article] Assessing Public Health and Social Measures Against COVID-19 in Japan From March to June 20212022

    • Author(s)
      Hayashi Katsuma、Kayano Taishi、Anzai Asami、Fujimoto Marie、Linton Natalie、Sasanami Misaki、Suzuki Ayako、Kobayashi Tetsuro、Otani Kanako、Yamauchi Masato、Suzuki Motoi、Nishiura Hiroshi
    • Journal Title

      Frontiers in Medicine

      Volume: 9

    • DOI

      10.3389/fmed.2022.937732

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K18953, KAKENHI-PROJECT-23K21519
  • [Journal Article] 感染症の伝播と気候変動2021

    • Author(s)
      林克磨、西浦博
    • Journal Title

      オペレーションズリサーチ

      Volume: 66 Pages: 207-2015

    • Data Source
      KAKENHI-PROJECT-20K18953
  • [Presentation] クラスターサーベイランスデータを利用したCOVID-19クラスターの時系列因果解析2024

    • Author(s)
      林克磨、植田陽、茅野大志、西浦博
    • Organizer
      第82回日本公衆衛生学会総会
    • Data Source
      KAKENHI-PROJECT-23K09712
  • [Presentation] 土地利用情報を活用したデング熱感染リスクの分析;台南市流行のケーススタディ2024

    • Author(s)
      林克磨、藤本万理恵、西浦博
    • Organizer
      第94回日本衛生学会学術総会
    • Data Source
      KAKENHI-PROJECT-23K09712
  • [Presentation] Assessment of Dengue Infections in Japan over the Next Century under Climate, Population, and Geographic Changes.2023

    • Author(s)
      Hayashi,K,Fujimoto.M,Nishiura.H
    • Organizer
      9th International Conference on Infectious Disease Dynamics (EPIDEMICS9)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K09712
  • [Presentation] Reconstructing the temporal dynamics of clustering from cluster surveillance of COVID-192023

    • Author(s)
      Hayashi.K,Ueda.M,Kayano.T,Nishiura.H
    • Organizer
      Computational and Mathematical Population Dynamics 6 (CMPD6)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K09712
  • [Presentation] クラスターサーベイランスデータを利用したクラスター連鎖の再構築2023

    • Author(s)
      林克磨、植田陽、茅野大志、西浦博
    • Organizer
      日本疫学会学術総会
    • Data Source
      KAKENHI-PROJECT-23K09712
  • [Presentation] サーベイランスデータを用いたワクチン予防効果の持続期間の推定2022

    • Author(s)
      林克磨
    • Organizer
      第81回日本公衆衛生学会総会
    • Data Source
      KAKENHI-PROJECT-20K18953
  • [Presentation] 気候変動下でのデング感染症の国内リスク評価2022

    • Author(s)
      林克磨
    • Organizer
      第92回日本衛生学会学術総会(2022)
    • Data Source
      KAKENHI-PROJECT-20K18953
  • [Presentation] 気候変動下でのデング感染症の国内発生リスク評価2022

    • Author(s)
      林克磨
    • Organizer
      第92回日本衛生学会学術総会
    • Data Source
      KAKENHI-PROJECT-20K18953
  • [Presentation] Assessing future risk of dengue in the context of climate change2022

    • Author(s)
      林克磨
    • Organizer
      第32回日本疫学会学術総会(2022)
    • Data Source
      KAKENHI-PROJECT-20K18953

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