Literature DB >> 33686353

Evaluation of an innovative pediatric isolation (PI) bed using fluid dynamics simulation and aerosol isolation efficacy.

Tiantian Liu1, Yubing Guo2, Xiaotang Hao1, Mei Wang1, Shicong He2, Zhengshi Lin2, Rong Zhou2.   

Abstract

Airborne transmission is an important mechanism of spread for both viruses and bacteria in hospitals, with nosocomial infections putting a great burden on public health. In this study, we designed and manufactured a bed for pediatric clinic consultation rooms providing air isolation to protect patients and medical personnel from pathogen transmission. The pediatric isolation bed has several primary efficiency filters and a high-efficiency particulate air filter in the bedside unit. The air circulation between inlet and outlet forms negative pressure to remove the patient's exhaled air timeously and effectively. A computational fluid dynamics model was used to calculate the speed of the airflow and the angle of sampler. Following this, we conducted purification experiments using cigarette smoke, Staphylococcus albus (S. albus) and human adenovirus type 5 (HAdV-5) to demonstrate the isolation efficacy. The results showed that the patient's head should be placed as close to the air inlet hood as possible, and an air intake wind speed of 0.86 m/s was effective. The isolation efficacy of the pediatric isolation bed was demonstrated by computational fluid dynamics technology. The isolation efficiency against cigarette smoke exceeded 91.8%, and against S. albus was greater than 99.8%, while the isolation efficiency against HAdV-5 was 100%. The pediatric isolation bed could be used where isolation wards are unavailable, such as in intensive care units and primary clinical settings, to control hospital acquired infections. © Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Entities:  

Keywords:  computational fluid dynamics (CFD); isolation bed; nosocomial infections; particles; pediatrics; speed

Year:  2021        PMID: 33686353      PMCID: PMC7929910          DOI: 10.1007/s12273-021-0761-3

Source DB:  PubMed          Journal:  Build Simul        ISSN: 1996-3599            Impact factor:   3.751


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