About me

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I am Hiroaki Murayama, an infectious disease modeller working on mathematical modelling of infectious disease dynamics, epidemiology, and control. I am also a medical student at School of Medicine, International University of Health and Welfare in Japan.

My e-mail adress: hiromura319[at]gmail.com



Interests

Infectious Disease Epidemiology

  • Infectious Disease Modelling
  • Infectious Disease Dynamics
  • Outbreaks
  • Bayesian Modelling

My research interests regard directly transmitted diseases (e.g. COVID-19). Each of observed cases with a directly transmitted disease are not independent (infector-infectee relationship), which is refered to as dependent happening. This phenomenon leads the need for the description of transmission dynamics regarding mathematical modelling of infectious diseases.
The interests are quantifying natural history, transmission dynamics, and control (non-phermaceutical interventions and vaccine strategy) and developing their methodologies on the application of maximum likelihood estimation, Bayesian inference, robust estimation, stochastic process, data assimilation, network theory, etc. My preferring programming langueges are 1) R and 2) Julia.



Brief CV



  • Research Assistant, Graduate School of Social Sciences, Chiba University, Japan, 2021 - (present)
  • Advisor, COVID-19 Intervention Group, Ministry of Health, Labour, and Welfare, Japan, 2020 - (present)
  • Medical Student, Department of Medicine, School of Medicine, International University of Health and Welfare, Japan, 2019 - (present)

  • Publications

    Preprint (†: equal contribution)

  • Murayama, H.†, Yamasaki, L.† & Hashizume, M. The impact of temperature on the transmission potential and virulence of COVID-19 in Tokyo, Japan. medRxiv (2021) doi:10.1101/2021.06.15.21258529. Link
  • Article (†: equal contribution)

  • Murayama, H., Kayano, T. & Nishiura, H. Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021. Theoretical Biology and Medical Modelling 18, 13 (2021). Link
  • Murayama, H.†, Yamasaki, L.† & Hashizume, M. The impact of temperature on the transmission potential and virulence of COVID-19 in Tokyo, Japan. Scientific Reports 11, 24477 (2021). Link
  • Accepted (in press): Value in Health Regional Issues.
  • Report

  • 髙勇羅, 村山泰章, 山崎里紗, 木下諒, 西浦博, 鈴木基. 「東京都におけるサーベイランスデータを用いた死亡回避の新型コロナワクチン有効性と症例致命リスクの推定」. 国立感染症研究所 感染症疫学センター. 28th Dec 2021.Link
  • Media

  • 西浦博, 村山泰章. 特集「この先生に会いたい!! かくて生まれり, 「8割おじさん」」. 週刊医学界新聞 Vol. 3381, 医学書院. 10th Aug 2020. Link

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