Environmental monitoring and infection control of fever clinics in general hospitals during COVID-19 pandemic

Lu, Yiran; Li, Yifan; Lin, Minggui; Liu, Li; Lin, Boqiang; Zhou, Hao; Lin, Jinlan; Xu, Hongyan

doi:10.1360/tb-2020-0969

Cited by 10 publications

(6 citation statements)

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“…The prediction of future environment quality realized and the development of the intelligent monitoring technology was promoted [ 15 ]. Lu et al believed that, from the 1980s to the early 21 st century, the integration of multiple technologies was gradually regarded as the mainstream scheme to realize environment pollution monitoring for the environment monitoring systems of various countries [ 16 ]. At present, in terms of environment pollution monitoring, the developed countries adopted the technical integration of “3S” technology with a series of emerging technologies such as big data and artificial intelligence, so as to achieve intelligent, accurate, and comprehensive development of environment pollution problems, providing strong technical support for environment assessment, environment prediction, and decision-making [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

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In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control.

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Section: Introductionmentioning

confidence: 99%

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

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“…When looking at measuring ventilation changes as a result of changes in the number of people in the room, it was found that, when there had been a failure to ‘dilute’ the air through ventilation, it was necessary to increase the ventilation rate (either naturally or through mechanical ventilation) or reduce the amount of people allowed in the room (Lu et al, 2021). When testing the movement of air in a sealed ward one study found that, when the door was closed, all tested wards had inward airflow or there was no outward airflow, suggesting that these new SARS wards are effective in securing no-leakage of cubicle air into the corridors, even when some of the cubicles failed to maintain a negative pressure difference (Li et al, 2007).…”

Section: Rq1 and Rq3mentioning

confidence: 99%

Interventions used to improve air flow in hospitals – a rapid review

Brady,

Bennin,

Koning

et al. 2023

Preprint

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The COVID-19 pandemic has highlighted the need for improved air flow in hospitals, to reduce the transmission of airborne infections such as COVID-19. The aim of this review was to map the existing literature on intervention used to improve air flow in hospitals, understanding challenges in implementation and the findings of any evaluations. We reviewed peer-reviewed articles identified on three databases, MEDLINE, Web of Science and the Cochrane Library with no restriction on date. 5846 articles were identified, 130 were reviewed and 18 were included: ten articles were from databases and eight articles were identified through hand searching. Results were discussed in terms of three categories: (i) concentration of aerosol particles, (ii) changes in/effect of air speed and ventilation and (iii) improvements or reduction in health conditions. Eight studies included an evaluation, the majority only had one comparator condition however three had multiple conditions. The most common device or method that was outlined by researchers was HEPA filters, which can remove particles with a size of 3 microns. Articles outline different interventions to improve air flow and some demonstrate their effectiveness in terms of improving health outcomes for patients, they also suggest either mechanical and natural ventilation are the best methods for dispersing particulate matter as well as perhaps two air cleaning units rather than one. With different methods comes different strengths and weaknesses however, the key finding is that air flow improvement measures reduce the likelihood of nosocomial infections.

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“…In practical buildings, the direct measurement of aerosols concentration was usually expensive (easily influenced by the aerosols from the ambient environment) and problematic. Therefore, CO 2 from exhalation, which was easy to measure with satisfactory accuracy (±50 ppm) at relatively low expense, could be an appropriate tracer gas to evaluate the viral aerosols concentration and corresponding infection risk [ 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…As revealed by the widely utilized dose-response model [ [28] , [29] , [30] ], the infection risk of airborne disease could be related to the accumulation of inhaled viral dose directly. For the continuous inhalation process, exposure duration and viral concentration in adjacent environment both play a significant role.…”

Section: Introductionmentioning

confidence: 99%

“…By treating the exposure duration as imaginary or unified, or assuming indoor air (and the viral aerosols) as ideally well-mixed could possibly bring error in the infection risk assessment. That is to say, methodologies in existing literature [ 28 , [31] , [32] , [33] ] can be improved with better coupling of temporal and spatial variance of viral aerosols (based on real-time monitoring with CO 2 as a tracer gas) in built environment. This is the research gap that leads to the present investigation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tempo-spatial infection risk assessment of airborne virus via CO2 concentration field monitoring in built environment

Tang

Pan

2022

Building and Environment

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Environmental monitoring and infection control of fever clinics in general hospitals during COVID-19 pandemic

Cited by 10 publications

References 0 publications

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Interventions used to improve air flow in hospitals – a rapid review

Tempo-spatial infection risk assessment of airborne virus via CO2 concentration field monitoring in built environment

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