Evidence map›Paper›PMID 35071406›Full record

ArticleAnnals of translational medicine2021

Environmental sampling of the severe acute respiratory syndrome coronavirus 2 Delta variant in the inpatient wards of a hospital in Nanjing.

Ming Chu, Minjuan Chu, Yiping Mao, Zhanjie Li, Shuangyuan Liu, Hui Liu, Jingwu Ge, Zhihang Peng, Yongfeng Yang, Yun Liu and 1 more

Abstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ming Chu *Department of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Minjuan Chu *Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yiping MaoDepartment of Infection Management, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhanjie LiDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shuangyuan LiuDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hui LiuDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jingwu GeDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhihang PengDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Yongfeng YangCenter of Infectious Diseases, Affiliated Nanjing Hospital of Nanjing University of Chinese Medicine (The No. 2 Hospital of Nanjing), Nanjing, China.
Yun LiuDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jinhai TangDepartment of Infection Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant of concern (VOC)-contaminated environmental surfaces and air in hospital wards admitting COVID-19 cases. Our study was designed to identify high-risk areas of Delta VOC contamination in the hospital and provide suggestions to in-hospital infection control. We analyzed the SARS-CoV-2 Delta VOC contamination in the air and environmental surface samples collected from a hospital in Nanjing, China.

methodsWe collected data on clinical features, laboratory tests, swab tests, and hospital wards, identified the factors associated with environmental contamination, and analyzed patients' hygiene behaviors during hospitalization.

resultsA total of 283 environmental surface and air samples were collected from a hospital admitting 36 COVID-19 patients. Twelve swab samples from ten patients were positive. Toilet seats had the highest contamination rate (11.8%), followed by bedside tables (8.2%), garbage bins (5.9%), and bedrails (1.6%). The median time of symptom onset to surface sampling was shorter in the positive environment group than in the negative environment group (11

conclusionsThe SARS-CoV-2 Delta VOC was detected on environmental surfaces, especially toilet seats and bedside tables, within a median time of 11 days after symptom onset. Our study provided potential predictors for environmental surface contamination, including positive anal swabs and the time from symptom onset to sampling. Disinfecting high-risk environmental surfaces should be emphasized in hospital wards, especially for patients in the early stage of COVID-19.

Indexed as

2019 coronavirus disease (COVID-19)Delta variantenvironmental

Identifiers

PMID35071406
PMCPMC8743718

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.