About me


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

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


Infectious Disease Epidemiology

  • Quantification of transmission dynamics and control
  • Theoretical framework construction
  • Bayesian Inference
  • COVID-19
  • Monkeypox

My research work revolves around mathematical formulation of infectious disease dynamics to contribute to public health issues. For directly transmitted diseases, each of observed cases is not independent (infector-infectee relationship), which is often referred to as dependent happening. This phenomenon leads to the need for the reconstruction of transmission dynamics in terms of mathematical modelling to account for non-i.i.d. setting.
My main interest lies in quantifying natural history, transmission dynamics, and control (i.e.,non-pharmaceutical interventions, vaccine strategy, etc.) and constructing a theoretical framework, sometimes using Bayesian approach.

Brief CV

  • Research Assistant, Graduate School of Public Policy, University of Tokyo, Japan, 2021 - (present)
  • Research Assistant, Graduate School of Social Sciences, Chiba University, Japan, 2021 - 2022
  • 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)

  • Recent activity

    • 16.Nov.2022. Updated this webiste.
    • 16.Nov.2022 New paper (preprint) is out in medRxiv. I led this study as a first author:
    • This is a follow-up study of our earlier work on monkeypox epidemiology (Endo et al. 2022. Science) that looks at why cases are now declining in may affected areas. In a nutshelll, we suggested that accumulation of infection-derived immunity in heavy-tailed sexual contact networks can explain a apparent slowdown in growth of cases.
    • 24.Sep.2022. Listed as one of Contributors to UKHSA-JUNIPER MPX Network Modelling Seminar where my leading research and its findings were introduced:
    • 22.Sep.2022. Second-authoring paper is now out in Science as first release:
    • We suggested that the rapid growth of the current monkeypox outbreak is likely driven by a small fraction of men who have sex with men with many sexual partners.
    • 10.Sep.2022. It was an honour to be invited to COVID-19 pandemic conference at Nagoya and give a presentation entitled 'Impacts of vaccine, healthcare burden, and temperature on the transmissibility or virulence of COVID-19'.
    • 06.Sep.2022 My ongoing research project and results were introduced at UKHSA-JUNIPER MPX Network Modelling Seminar.
    • 24.Aug.2022 Our accepted manuscript in EID journal (early release) is now published in Volume 28, Number 9—September 2022:
    • 16.Jul.2022 New paper (preprint) is out in medRxiv:
    • We proposed a novel Bayesian framework for estimating waning of variant-specific vaccine effectiveness from routinely-collected population-level surveillance data in the presence of multi-variant circulation.
    • 15.Jul.2022 Great to have an opportunity to present about 'an introduction to infectious disease epidemiology and its mathematical modelling' at Japanese Society of Tropical Medicine Students' Branch.


    Article (†: equal contribution)

  • Endo A, Murayama H, Abbott S, Ratnayake R, Pearson CAB, Edmunds WJ, Fearon E†, Funk S†. Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022. Science. 2022 Sep 25;0(0):eadd4507.
  • Ko KY, Murayama H, Yamasaki L, Kinoshita R, Suzuki M, Nishiura H. Age-Dependent Effects of COVID-19 Vaccine and of Healthcare Burden on COVID-19 Deaths, Tokyo, Japan. Emerging Infectious Diseases. 2022;28(9).
  • Murayama H†, Yamasaki L†, Hashizume M. The impact of temperature on the transmissibility and virulence of COVID-19 in Tokyo, Japan. Scientific Reports. 2021;11(1):24477.
  • 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. 2021;18(1):13.

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