Respiratory infectious disease infection risk prediction system for waiting area of hospital

Abstract

The invention discloses a hospital waiting area respiratory infectious disease infection risk prediction system. The system comprises a space infection risk assessment module and an operation and maintenance stage management and control module. The space infection risk assessment module arranges the length-width ratio, the space layout, the air supply form, the air exchange rate and the personnel density of a plurality of typical waiting rooms as input parameters, and takes a waiting space infection risk comprehensive evaluation index C as an output parameter; a simulation sample is generated through input parameters, different terminal forms and change combination of typical personnel densities, particle concentration is calculated by using CFD, and establishment of a database and a prediction model is completed, so that position distribution and average infection risk prediction of a waiting space high-risk area under different personnel densities are carried out; and the operation and maintenance stage management and control module carries out real-time adjustment once every 15 minutes so as to realize the real-time regulation and control of the air supply tail end of the waiting room of the hospital based on the personnel density.

Description

technical field [0001] The invention relates to the field of risk prediction of infectious disease infection, in particular to a risk prediction system for respiratory infectious disease infection in a hospital waiting area. Background technique [0002] Hospitals have a higher risk of respiratory infectious disease infection due to dense crowding. Therefore, measures need to be taken to effectively control the spread of bacteria and viruses and the risk of personnel infection. In existing studies, the control of nosocomial infection risk is mainly concentrated in wards, isolation rooms, and inpatient corridors, and there is relatively little research on waiting rooms. The waiting room has the characteristics of high patient density, long exposure time, concentrated distribution of personnel and strong mobility. It is necessary to prevent, control and monitor the infection risk in this space. Previous studies mainly focused on the risk of respiratory infectious disease inf...

AI Technical Summary

Problems solved by technology

However, this invention focuses on air quality monitoring and optimization of the concentration of atmospheric pollutant particles, and cannot detect whether there are infectious particles in the air, so it cannot realize the prediction of the risk of spreading infecti

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