Infectious Disease Epidemiology

• Quantification of transmission dynamics and control
• Theoretical framework construction
• Bayesian Inference
• COVID-19
• Mpox (monkeypox)

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 dyamics 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.

• 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.