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Community structure of environmental microorganisms associated with COVID-19 affected patients.
Zhang, Weihua; Mo, Guoxin; Yang, Jie; Hu, Xingshuo; Huang, Hujie; Zhu, Jing; Zhang, Pei; Xia, Han; Xie, Lixin.
  • Zhang W; College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100853 China.
  • Mo G; College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100853 China.
  • Yang J; Hugobiotech Co. Ltd, Beijing, 100000 China.
  • Hu X; College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100853 China.
  • Huang H; Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800 China.
  • Zhu J; Shanghai Lasensor Photoelectric Technology Co., Ltd, Shanghai, 201800 China.
  • Zhang P; Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800 China.
  • Xia H; Shanghai Lasensor Photoelectric Technology Co., Ltd, Shanghai, 201800 China.
  • Xie L; Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800 China.
Aerobiologia (Bologna) ; 37(3): 575-583, 2021.
Article in English | MEDLINE | ID: covidwho-1220488
ABSTRACT
To clarify the characteristics and distribution of hospital environmental microbiome associated with confirmed COVID-19 patients. Environmental samples with varying degrees of contamination which were associated with confirmed COVID-19 patients were collected, including 13 aerosol samples collected near eight patients in different wards, five swabs from one patient's skin and his personal belongings, and two swabs from the surface of positive pressure respiratory protective hood and the face shield from a physician who had close contact with one patient. Metagenomic next-generation sequencing (mNGS) was used to analyze the composition of the microbiome. One of the aerosol samples (near patient 4) was detected positive for COVID-19, and others were all negative. The environmental samples collected in different wards possessed protean compositions and community structures, the dominant genera including Pseudomonas, Corynebacterium, Neisseria, Staphylococcus, Acinetobacter, and Cutibacterium. Top 10 of genera accounted for more than 76.72%. Genera abundance and proportion of human microbes and pathogens radiated outward from the patient, while the percentage of environmental microbes increased. The abundance of the pathogenic microorganism of medical supplies is significantly higher than other surface samples. The microbial compositions of the aerosol collected samples nearby the patients were mostly similar to those from the surfaces of the patient's skin and personal belongings, but the abundance varied greatly. The positive rate of COVID-19 RNA detected from aerosol around patients in general wards was quite low. The ward environment was predominantly inhabited by species closely related to admitted patients. The spread of hospital microorganisms via aerosol was influenced by the patients' activity. Supplementary Information The online version contains supplementary material available at 10.1007/s10453-021-09708-5.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Aerobiologia (Bologna) Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Aerobiologia (Bologna) Year: 2021 Document Type: Article