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卡塔尔四个初级卫生保健中心的室内空气质量评估

Assessment of Indoor Air Quality of Four Primary Health Care Centers in Qatar.

作者信息

Abdelrahman Hana, Abu-Rub Lubna, Al Mana Hassan, Alhorr Yousef, Al Thani Asmaa, Qotba Hamda, Yassine Hadi M, Eltai Nahla O

机构信息

Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.

Gord, Gulf Organization for Research and Development, Doha P.O. Box 210162, Qatar.

出版信息

Microorganisms. 2022 Oct 18;10(10):2055. doi: 10.3390/microorganisms10102055.

DOI:10.3390/microorganisms10102055
PMID:36296331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9608370/
Abstract

Airborne bacteria pose a potential risk to human health upon inhalation in the indoor environments of health care facilities. Airborne bacteria may originate from various sources, including patients, workers, and daily visitors. Hence, this study investigates the quantity, size, and identification of airborne bacteria indoors and outdoors of four Primary Health Care Centers (PHCC) in Doha, Qatar. Air samples were collected from the lobby, triage room, and outside environment of the centers, including, Qatar University (QU-HC), Al-Rayyan (AR-HC), Umm-Ghuwailina (UG-HC), and Old Airport (OA-HC) between August 2020 and March 2021, throughout both the hot and the cold seasons. Samples were collected using an Anderson six-stage cascade impactor. The mean of the total colony-forming units was calculated per cubic meter of air (CFU/m). QU-HC had the lowest mean of total bacterial count compared with other centers in the indoor and outdoor areas with 100.4 and 99.6 CFU/m, respectively. In contrast, AR-HC had the highest level, with 459 CFU/m indoors, while OA-HC recorded the highest bacterial concentration of the outdoor areas with a total mean 377 CFU/m. In addition, 16S rRNA sequencing was performed for genera identification. , , , and were the four most frequently identified bacterial genera in this study. The abundance of airborne bacteria in the four health centers was higher in the cold season. About 46% of the total airborne bacterial count for three PHCC centers exceeded 300 CFU/m, making them uncompliant with the World Health Organization's (WHO) recommendation for indoor settings. Consequently, an IAQ standards should be shaped to establish a baseline for measuring air pollution in Qatar. Additionally, it is crucial to understand seasonal fluctuations better so that hospitals can avoid rising and spreading infection peaks.

摘要

在医疗保健机构的室内环境中,空气中的细菌一旦被吸入,就会对人类健康构成潜在风险。空气中的细菌可能来自各种来源,包括患者、工作人员和日常访客。因此,本研究调查了卡塔尔多哈四个初级卫生保健中心(PHCC)室内和室外空气中细菌的数量、大小和种类。在2020年8月至2021年3月的炎热和寒冷季节期间,从这些中心的大厅、分诊室和外部环境采集空气样本,这些中心包括卡塔尔大学(QU-HC)、赖扬(AR-HC)、乌姆-古韦利纳(UG-HC)和旧机场(OA-HC)。使用安德森六级级联撞击器采集样本。计算每立方米空气中的总菌落形成单位平均数(CFU/m)。与其他中心相比,QU-HC在室内和室外区域的细菌总数平均数最低,分别为100.4和99.6 CFU/m。相比之下,AR-HC的水平最高,室内为459 CFU/m,而OA-HC在室外区域的细菌浓度最高,总平均数为377 CFU/m。此外,进行了16S rRNA测序以鉴定细菌种类。 、 、 和 是本研究中最常鉴定出的四个细菌种类。四个卫生中心空气中细菌的丰度在寒冷季节更高。三个初级卫生保健中心的空气中细菌总数约46%超过300 CFU/m,这使其不符合世界卫生组织(WHO)对室内环境的建议。因此,应制定室内空气质量标准,为卡塔尔测量空气污染建立一个基线。此外,更好地了解季节性波动至关重要,以便医院能够避免感染高峰的上升和传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/c0ce24325a16/microorganisms-10-02055-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/39508fa6130f/microorganisms-10-02055-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/0272059c753f/microorganisms-10-02055-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/c7cad774e164/microorganisms-10-02055-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/9ce6a7956a22/microorganisms-10-02055-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/7dbd2b524132/microorganisms-10-02055-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/cfd31914016c/microorganisms-10-02055-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/272b397596ad/microorganisms-10-02055-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/7343d8acc40d/microorganisms-10-02055-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/45faedf2111d/microorganisms-10-02055-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/c0ce24325a16/microorganisms-10-02055-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/39508fa6130f/microorganisms-10-02055-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/0272059c753f/microorganisms-10-02055-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/c7cad774e164/microorganisms-10-02055-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/9ce6a7956a22/microorganisms-10-02055-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/7dbd2b524132/microorganisms-10-02055-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/cfd31914016c/microorganisms-10-02055-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/272b397596ad/microorganisms-10-02055-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/7343d8acc40d/microorganisms-10-02055-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/45faedf2111d/microorganisms-10-02055-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0405/9608370/c0ce24325a16/microorganisms-10-02055-g010.jpg

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