Recently there is a growing interest in the airborne spread of virus. In particular, there is growing interest in secondary infection through the air in the hospital. The distribution of air-born virus depends on ventilation system installed in a hospital. In this study, simulations were carried out to predict the move of air-born virus by ventilation system at hospital. Simulation results showed that pressure distribution was –372.05Pa ∼ -3.45 Pa at 1st floor incase of only used mechanical exhaust at bathroom, shower stall , storage, kitchen etc.. if ventilation switch from used mechanical exhaust to mechanical exhaust & mechanical supply. Simulation results showed that pressure distribution was -336.44Pa at stair hall < -0.2Pa at bathroom < mean 1.19Pa at other room. So simulation results showed that using all of the mechanical supply and mechanical exhaust was more effective then the mechanical exhaust for maintain the pressure distribution in hospital. It was also showed that when using the mechanical supply and mechanical exhaust more effectively prevention of air born virus diffusion.

Recently SARS and bird flu has been infected widely in the world; we have to care about germs and virus in indoor air environment. Especially that transmission by means of transportation is a major infection route. In this study, a private car simulated with CFD for prediction of indoor airborne microbe transport. Simulation performed with real situation in car, four occupants with a infected driver and four stage air ventilation controled by HVAC system. Result show that CFD can be visualized microbe transport other occupants and who is more exposed to airborne microbe. also it make a prediction of microbe transport in car.

The transmission of the world Installed in an Office occurs through the air. Preventing that transmission, especially in indoor environments like those in airplanes, schools and offices, is a major public health concern. in this study the real situation of lab which is consist of dilution, Ultraviolet-C based air sterilization system. This model include indoor microbe transport which is generated human source. a computer simulation was performed to determine if such simulation can be used effectively to predict the more accurate, but difficult to perform, actual physical experiment. Result show that CFD can be modeled microbe transport effectively and it can be visualized microbe transport separation from flow streamline. also it make a good prediction of microbe transport.