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The terrible statistics about hospital acquired infections point out the necessity of improving the infection control in health
care facilities. This implies that it is necessary to search for new methods and techniques of design. The aim of this paper is
to describe all known measures of the infection control and to consider a new approach in its optimizing the use CFD modeling.
The CFD modeling possibilities are demonstrated by an analysis of one factor impact on the infection risk. The analyzed factor
is the use of local exhaust unit in the airborne infectious isolation room. The report includes the detailed description of all
steps of the simulation: collection of the initial data, the modeling process, setting the solver and analysis of the results. The
results of the simulation allow estimating the impact of the analyzed factor and giving certain recommendations for the design
of airborne infectious isolation rooms. Everyone suppose that hospital is the place, where we recover from a disease. However,
there is a high risk to acquire a serious infection instead of recovery. The term nosocomial infection or hospital acquired
infection (HAI) is used when a patient gets infected in hospital. Hospital is a place of concentration of infection and the main
aim of designers and administration is to isolate and prevent the spread of the infection to protect patients. Unfortunately, the
statistics shows that this aim is not fully achieved. Because of the collection and processing of the statistical data, provided in
the Appendix A, the estimated morbidity associated with HAI for US and EU together is about 6 million per year, and the
mortality is about 300.000 per year. This terrible statistic reveals the importance of the problem of nosocomial infections and
suggests the necessity of a concerted approach to solutions of specialists from different fields: architects, engineers, health
workers. However, the theoretical justification is followed by detailed description of all steps of simulation: collection of the
initial data, the modeled process description, creation of the model, setting the solver and analysis of the results. The results of
the simulation not only allow showing the power of CFD, but also allow giving a certain recommendation.