Infectious Disease Epidemiology
- Quantification of transmission dynamics and control
- Theoretical framework construction
- Network modelling
- Bayesian Inference
- Mpox (monkeypox)
I am Hiroaki Murayama, working on mathematical modelling of infectious disease dynamics 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
My research work revolves around mathematical formulation of infectious disease dynamics drawing upon state-of-the-art mathematical/statistical/computational methodologies to better understand the dynamics of infectious diseases across various scales and 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 happenings. This leads to the need for the reconstruction of transmission dynamics in terms of mathematical modelling accounting for non-i.i.d. settings.
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, often using a Bayesian approach.