Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China
The coronavirus disease 2019 (COVID-19) pandemic caused by frequently mutating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a worldwide impact. However, detailed data on the potential aerosol transmission of SARS-CoV-2 in real-world and controlled laboratory settings remain s...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809923002722 |
| _version_ | 1797388797993811968 |
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| author | Jiafu Jiang Zhe Yin Jing Li Leili Jia Rulin He Wenhui Yang Jihu Yang Hang Fan Sen Zhang Yunfei Wang Zengming Zhao Haoran Peng Lizhong Li Yi Yang Shi-Yong Fan Rong Xiang Jianshu Guo Jinjin Wang Juanning Wei Fengling Zhou Ding Liu Ping Zhao Yujun Cui Yunxi Liu Dongsheng Zhou Gang Dong |
| author_facet | Jiafu Jiang Zhe Yin Jing Li Leili Jia Rulin He Wenhui Yang Jihu Yang Hang Fan Sen Zhang Yunfei Wang Zengming Zhao Haoran Peng Lizhong Li Yi Yang Shi-Yong Fan Rong Xiang Jianshu Guo Jinjin Wang Juanning Wei Fengling Zhou Ding Liu Ping Zhao Yujun Cui Yunxi Liu Dongsheng Zhou Gang Dong |
| author_sort | Jiafu Jiang |
| collection | DOAJ |
| description | The coronavirus disease 2019 (COVID-19) pandemic caused by frequently mutating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a worldwide impact. However, detailed data on the potential aerosol transmission of SARS-CoV-2 in real-world and controlled laboratory settings remain sparse. During the COVID-19 pandemic in Shanghai, China in 2022, samples were collected in a Fangcang shelter hospital, a large-scale temporary hospital rapidly built by converting the existing National Exhibition and Convention Center (Shanghai) into a health care facility. Aerosol samples at different sites and intervals around patients and in public areas, surface samples, and pharyngeal swab samples from corresponding patients were included. Samples were tested for SARS-CoV-2 using real-time quantitative polymerase chain reaction (RT-qPCR) assays, followed by sequencing if the cycle threshold (Ct) value was < 30. The positivity rate for SARS-CoV-2 in aerosol samples was high in contaminated zones (37.5%, 104/277), especially around the bed (41.2%, 68/165) and near ventilation inlets (45.2%, 14/31). The prevalence of SARS-CoV-2 around the bed, public areas, and air inlets of exhaust vents fluctuated and was closely related to the positivity rate among patients at corresponding sampling sites. Some surface samples of different personal protective equipment from medical staff had high positivity rates. Sixty sequences of joined ORF1ab and spike genes obtained from sixty samples represented two main clusters of Omicron SARS-CoV-2. There was consistency in virus sequences from the same patient and their environment, and the detected virus sequences matched those of virus strains in circulation during the collection periods, which indicated a high likelihood of cross-contamination in the Fangcang shelter hospital. In summary, the results provide a quantitative and real landscape of the aerosol transmission of SARS-CoV-2 and a patient-centered view of contamination in large and enclosed spaces and offer a useful guide for taking targeted measures to avoid nosocomial infections during the management of SARS-CoV-2 or other respiratory virus diseases in a Fangcang shelter hospital. |
| first_indexed | 2024-03-08T22:46:53Z |
| format | Article |
| id | doaj.art-2bc8cf827ab648cd8b77b9e4d903abf8 |
| institution | Directory Open Access Journal |
| issn | 2095-8099 |
| language | English |
| last_indexed | 2024-03-08T22:46:53Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering |
| spelling | doaj.art-2bc8cf827ab648cd8b77b9e4d903abf82023-12-17T06:38:20ZengElsevierEngineering2095-80992023-09-0128222233Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, ChinaJiafu Jiang0Zhe Yin1Jing Li2Leili Jia3Rulin He4Wenhui Yang5Jihu Yang6Hang Fan7Sen Zhang8Yunfei Wang9Zengming Zhao10Haoran Peng11Lizhong Li12Yi Yang13Shi-Yong Fan14Rong Xiang15Jianshu Guo16Jinjin Wang17Juanning Wei18Fengling Zhou19Ding Liu20Ping Zhao21Yujun Cui22Yunxi Liu23Dongsheng Zhou24Gang Dong25Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaChinese People’s Liberation Army Center for Disease Control and Prevention, Beijing 100071, ChinaThe 902 Hospital of People’s Liberation Army Joint Logistics Support Force, Bengbu 233015, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaChinese People’s Liberation Army Center for Disease Control and Prevention, Beijing 100071, ChinaDepartment of Microbiology, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, ChinaChinese People’s Liberation Army Center for Disease Control and Prevention, Beijing 100071, ChinaChinese People’s Liberation Army Center for Disease Control and Prevention, Beijing 100071, ChinaAcademy of Military Medical Sciences Institute of Pharmacology and Toxicology, Beijing 100039, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaGeneral Hospital of Eastern Theater Command, People’s Liberation Army, Nanjing 210002, ChinaFourth Military Medical University, Xijing Hospital, Xi’an 710032, ChinaGeneral Hospital of Central Theater Command of Chinese People’s Liberation Army, Wuhan 430070, ChinaThird Military Medical University, Southwest Hospital, Chongqing 400038, ChinaDepartment of Microbiology, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, ChinaBeijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, ChinaDepartment of Disease Prevention and Control, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China; Corresponding authors.Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China; Corresponding authors.Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China; Corresponding authors.The coronavirus disease 2019 (COVID-19) pandemic caused by frequently mutating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a worldwide impact. However, detailed data on the potential aerosol transmission of SARS-CoV-2 in real-world and controlled laboratory settings remain sparse. During the COVID-19 pandemic in Shanghai, China in 2022, samples were collected in a Fangcang shelter hospital, a large-scale temporary hospital rapidly built by converting the existing National Exhibition and Convention Center (Shanghai) into a health care facility. Aerosol samples at different sites and intervals around patients and in public areas, surface samples, and pharyngeal swab samples from corresponding patients were included. Samples were tested for SARS-CoV-2 using real-time quantitative polymerase chain reaction (RT-qPCR) assays, followed by sequencing if the cycle threshold (Ct) value was < 30. The positivity rate for SARS-CoV-2 in aerosol samples was high in contaminated zones (37.5%, 104/277), especially around the bed (41.2%, 68/165) and near ventilation inlets (45.2%, 14/31). The prevalence of SARS-CoV-2 around the bed, public areas, and air inlets of exhaust vents fluctuated and was closely related to the positivity rate among patients at corresponding sampling sites. Some surface samples of different personal protective equipment from medical staff had high positivity rates. Sixty sequences of joined ORF1ab and spike genes obtained from sixty samples represented two main clusters of Omicron SARS-CoV-2. There was consistency in virus sequences from the same patient and their environment, and the detected virus sequences matched those of virus strains in circulation during the collection periods, which indicated a high likelihood of cross-contamination in the Fangcang shelter hospital. In summary, the results provide a quantitative and real landscape of the aerosol transmission of SARS-CoV-2 and a patient-centered view of contamination in large and enclosed spaces and offer a useful guide for taking targeted measures to avoid nosocomial infections during the management of SARS-CoV-2 or other respiratory virus diseases in a Fangcang shelter hospital.http://www.sciencedirect.com/science/article/pii/S2095809923002722Coronavirus disease 2019Severe acute respiratory syndrome coronavirus 2AerosolsFangcang shelter hospitalChina |
| spellingShingle | Jiafu Jiang Zhe Yin Jing Li Leili Jia Rulin He Wenhui Yang Jihu Yang Hang Fan Sen Zhang Yunfei Wang Zengming Zhao Haoran Peng Lizhong Li Yi Yang Shi-Yong Fan Rong Xiang Jianshu Guo Jinjin Wang Juanning Wei Fengling Zhou Ding Liu Ping Zhao Yujun Cui Yunxi Liu Dongsheng Zhou Gang Dong Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China Engineering Coronavirus disease 2019 Severe acute respiratory syndrome coronavirus 2 Aerosols Fangcang shelter hospital China |
| title | Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China |
| title_full | Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China |
| title_fullStr | Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China |
| title_full_unstemmed | Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China |
| title_short | Temporal and Spatial Distribution of SARS-CoV-2 Aerosols in a Large-Scale Fangcang Shelter Hospital in Shanghai, China |
| title_sort | temporal and spatial distribution of sars cov 2 aerosols in a large scale fangcang shelter hospital in shanghai china |
| topic | Coronavirus disease 2019 Severe acute respiratory syndrome coronavirus 2 Aerosols Fangcang shelter hospital China |
| url | http://www.sciencedirect.com/science/article/pii/S2095809923002722 |
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