About me

I am Hiroaki Murayama, a medical student undergoing clinical rotations at the School of Medicine, International University of Health and Welfare in Japan. My work focuses on mathematical modelling of infectious diseases, especially transmission dynamics, control strategies, and Bayesian approaches to public health questions.

Contact: hiromura319[at]gmail.com

Interests

Infectious Disease Epidemiology

• Quantification of transmission dynamics and optimal control strategies
• Theoretical framework construction
• Network modelling
• Disentangling heterogeneity on contact patterns and transmission profiles
• COVID-19, mpox, vector-borne diseases, STDs, etc.
• Interdisciplinary field between ID epidemiology and Environmental epidemiology
• Bayesian inference

My research work revolves around mathematical formulation of infectious disease dynamics drawing upon state-of-the-art mathematical, statistical, and computational methodologies to understand transmission dynamics across various scales, thereby contributing to addressing public health concerns and answering key questions.

In the case of directly transmitted diseases, each observed case is linked to its infector, creating the non-linear behaviour in the risk of infections. Consequently, there arises a necessity to reconstruct transmission dynamics through mathematical models that account for these non-i.i.d. settings.

My primary interest lies in quantifying natural history, transmission dynamics and control, disentangling such a unique non-i.i.d. situation. Additionally I aim to construct a robust theoretical framework, often using a Bayesian framework. I am also interested in bridging the gap between infectious disease and environmental epidemiology.