Kyushu University · Medicine
Professor Kazuki Kuga's research lab specializes in indoor environmental health and exposure science, focusing on the dynamics of airborne contaminants and human exposure in built environments. The lab develops advanced numerical and computational models—such as computer-simulated persons (CSP) and multi-agent simulations (MAS)—to investigate the dispersion of exhaled pollutants, including CO₂, e-cigarette aerosols, and infectious pathogens. Their work bridges epidemiology, fluid dynamics, and behavioral modeling, particularly in understanding how individual behaviors (e.g., mask-wearing, vaccination) and environmental factors (e.g., ventilation, spatial structure) influence disease transmission and air quality. The lab also explores the health impacts of emerging pollutants, such as those from cannabis vaping and e-cigarettes, using in silico methods to overcome ethical and practical limitations of human studies.
Figures are computed from collected data and may differ slightly.
Abstract We consider two imperfect ways to protect against an infectious disease such as influenza, namely vaccination giving only partial immunity and a defense against contagion such as wearing a mask. We build up a new analytic framework considering those two cases instead of perfect vaccination, conventionally assumed as a premise, with the assumption of an infinite and well-mixed population. Our framework also considers three different strategy-updating rules based on evolutionary game theo
We explore a mathematical framework of the vaccination game taking into account spatial structure, say, and degree distribution amid individuals. The framework presumes SIR/V dynamics in a season, which is followed by a strategy update process that estimates whether an individual will take a protecting measure, considering imperfect vaccination or defense against contagion. The numerical result based on multi-agent simulations (MAS) validates our theory, suggesting that a more heterogeneous spat
The breathing zone of an individual indoors is usually defined as a finite region steadily formed in front of a face. Assuming the steady formation of the breathing zone, we propose a procedure for quantitatively identifying a breathing zone formed in front of a human face in the transient condition. This assumption is reasonable considering that the ventilation time scale of human respiration is sufficiently short compared to the ventilation time scale of a room. We used steady-state computatio
Electronic (e)-cigarette smoking is considered to be less harmful than traditional tobacco smoking because of the lack of a combustion process. However, e-cigarettes have the potential to release harmful chemicals depending on the constituents of the vapor. To date, there has been significant evidence on the adverse health effects of e-cigarette usage. However, what is less known are the impacts of the chemicals contained in exhaled air from an e-cigarette smoker on indoor air quality, the secon
The emission rate of carbon dioxide (CO<sub>2</sub> ) depends on many factors but mainly on the activity level (metabolic rate) of occupants. In this study, we examined two other factors that may influence the CO<sub>2</sub> emission rate, namely the background CO<sub>2</sub> concentration and the indoor temperature. Six male volunteers sat one by one in a 1.7 m<sup>3</sup> chamber for 2.5 h and performed light office-type work under five different conditions with two temperature levels (23 vs.
With electronic (e)-liquids containing cannabis components easily available, many anecdotal examples of cannabis vaping using electronic cigarette devices have been reported. For electronic cigarette cannabis vaping, there are potential risks of secondary indoor air pollution from vapers. However, quantitative and accurate prediction of the inhalation and dermal exposure of a passive smoker in the same room is difficult to achieve due to the ethical constraints on subject experiments. The numeri
The purpose of this study was to investigate, in the human respiratory tract, the flow patterns and adsorption flux (deposition flux) distributions of volatile organic compounds (VOCs) generated by the use of electronic cigarettes (e-cigarettes) through the application of a three-dimensional computational fluid dynamics (CFD) analysis. Two types of human respiratory tract models, which give detailed respiratory tract geometries were reproduced in this study using computed tomography data, for th
We successfully establish a theoretical framework of pairwise approximation for the vaccination game in which both the dynamic process of epidemic spread and individual actions in helping prevent social behaviours are quantitatively evaluated. In contrast with mean-field approximation, our model captures higher-order effects from neighbours by using an underlying network that shows how the disease spreads and how individual decisions evolve over time. This model considers not only imperfect vacc
Accurate prediction of inhaled CO<sub>2</sub> concentration and alveolar gas exchange efficiency would improve the prediction of CO<sub>2</sub> concentrations around the human body, which is essential for advanced ventilation design in buildings. We therefore, developed a computer-simulated person (CSP) that included a computational fluid dynamics approach. The CSP simulates metabolic heat production at the skin surface and carbon dioxide (CO<sub>2</sub> ) gas exchange at the alveoli during the
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