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由于通风不良导致的医院内 SARS-CoV-2 感染的经济实惠的监测和报警措施。

Affordable measures to monitor and alarm nosocomial SARS-CoV-2 infection due to poor ventilation.

机构信息

Department of Building Science, Tsinghua University, Beijing, China.

Key Laboratory of Eco-Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China.

出版信息

Indoor Air. 2021 Nov;31(6):1833-1842. doi: 10.1111/ina.12899. Epub 2021 Jun 28.

Abstract

Since the coronavirus disease 2019 (COVID-19) outbreak, the nosocomial infection rate worldwide has been reported high. It is urgent to figure out an affordable way to monitor and alarm nosocomial infection. Carbon dioxide (CO ) concentration can reflect the ventilation performance and crowdedness, so CO sensors were placed in Beijing Tsinghua Changgung Hospital's fever clinic and emergency department where the nosocomial infection risk was high. Patients' medical records were extracted to figure out their timelines and whereabouts. Based on these, site-specific CO concentration thresholds were calculated by the dilution equation and sites' risk ratios were determined to evaluate ventilation performance. CO concentration successfully revealed that the expiratory tracer was poorly diluted in the mechanically ventilated inner spaces, compared to naturally ventilated outer spaces, among all of the monitoring sites that COVID-19 patients visited. Sufficient ventilation, personal protection, and disinfection measures led to no nosocomial infection in this hospital. The actual outdoor airflow rate per person (Q ) during the COVID-19 patients' presence was estimated for reference using equilibrium analysis. During the stay of single COVID-19 patient wearing a mask, the minimum Q value was 15-18 L/(s·person). When the patient was given throat swab sampling, the minimum Q value was 21 L/(s·person). The Q value reached 36-42 L/(s·person) thanks to window-inducted natural ventilation, when two COVID-19 patients wearing masks shared the same space with other patients or healthcare workers. The CO concentration monitoring system proved to be effective in assessing nosocomial infection risk by reflecting real-time dilution of patients' exhalation.

摘要

自 2019 年冠状病毒病(COVID-19)爆发以来,全球的医院感染率据报道一直很高。因此,急需找到一种经济实惠的方法来监测和报警医院感染。二氧化碳(CO )浓度可以反映通风性能和拥挤程度,因此在北京清华长庚医院的发热门诊和急诊放置了 CO 传感器,这些地方的医院感染风险较高。提取患者的病历,以了解他们的时间线和行踪。基于这些信息,通过稀释方程计算出特定地点的 CO 浓度阈值,并确定地点的风险比,以评估通风性能。CO 浓度成功地揭示了在所有监测点中,COVID-19 患者所到之处,与自然通风的外部空间相比,机械通风的内部空间呼出示踪剂的稀释效果较差。由于充分的通风、个人保护和消毒措施,该医院没有发生医院感染。使用平衡分析估计 COVID-19 患者在场期间每个人的实际室外气流率(Q )作为参考。当单个 COVID-19 患者佩戴口罩时,最低 Q 值为 15-18 L/(s·人)。当患者接受咽喉拭子采样时,最低 Q 值为 21 L/(s·人)。由于采用了窗式诱导自然通风,当两个 COVID-19 患者佩戴口罩与其他患者或医护人员共享同一空间时,Q 值达到 36-42 L/(s·人)。CO 浓度监测系统通过反映患者呼气的实时稀释,有效评估了医院感染风险。

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