Evidence map›Paper›PMID 32366488›Full record

ArticleThe European respiratory journal2020

Nosocomial outbreak of COVID-19 pneumonia in Wuhan, China.

Xiaorong Wang, Qiong Zhou, Yukun He, Lingbo Liu, Xinqian Ma, Xiaoshan Wei, Nanchuan Jiang, Limei Liang, Yali Zheng, Ling Ma and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The European respiratory journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 10 pooled it
–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

92 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  4. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Setting-specific Transmission Rates: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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  8. The role of asymptomatic and pre-symptomatic infection in SARS-CoV-2 transmission-a living systematic review.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
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32 more citing papers are in PubMed but not listed here.

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

27 authors.

Xiaorong WangDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qiong ZhouDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-3120-3017
Yukun HeDept of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Lingbo LiuSchool of Urban Design, Wuhan University, Wuhan, China.
Xinqian MaDept of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Xiaoshan WeiDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Nanchuan JiangDept of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Limei LiangDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yali ZhengDept of Respiratory, Critical Care, and Sleep Medicine, Xiang'an Hospital of Xiamen University, Xiamen, China.
Ling MaDept of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu XuDept of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Dong YangDept of Anaesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianchu ZhangDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bohan YangDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ning JiangDept of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Tao DengBeijing CapitalBio Medical Laboratory, Beijing, China.
Bingbing ZhaiBeijing CapitalBio Medical Laboratory, Beijing, China.
Yang GaoBeijing CapitalBio Medical Laboratory, Beijing, China.
Wenxuan LiuBeijing CapitalBio Medical Laboratory, Beijing, China.
Xinghua BaiBeijing CapitalBio Medical Laboratory, Beijing, China.
Tao PanBeijing CapitalBio Medical Laboratory, Beijing, China.
Guoqing WangBeijing CapitalBio Medical Laboratory, Beijing, China.
Yujun ChangNational Engineering Research Center for Beijing Biochip Technology, Beijing, China.ORCID 0000-0002-8987-4980
Zhi ZhangNational Engineering Research Center for Beijing Biochip Technology, Beijing, China.
Huanzhong ShiDept of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-1154-7920
Wan-Li MaDept of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhancheng GaoDept of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China zcgao@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), infected over 3300 healthcare workers in early 2020 in China. Little information is known about nosocomial infections of healthcare workers in the initial period. We analysed data from healthcare workers with nosocomial infections in Wuhan Union Hospital (Wuhan, China) and their family members.

methodsWe collected and analysed data on exposure history, illness timelines and epidemiological characteristics from 25 healthcare workers with laboratory-confirmed coronavirus disease 2019 (COVID-19) and two healthcare workers in whom COVID-19 was highly suspected, as well as 10 of their family members with COVID-19, between 5 January and 12 February 2020. The demographics and clinical features of the 35 laboratory-confirmed cases were investigated and viral RNA of 12 cases was sequenced and analysed.

resultsNine clusters were found among the patients. All patients showed mild to moderate clinical manifestation and recovered without deterioration. The mean period of incubation was 4.5 days, the mean±sd clinical onset serial interval (COSI) was 5.2±3.2 days, and the median virus shedding time was 18.5 days. Complete genomic sequences of 12 different coronavirus strains demonstrated that the viral structure, with small irrelevant mutations, was stable in the transmission chains and showed remarkable traits of infectious traceability.

conclusionsSARS-CoV-2 can be rapidly transmitted from person to person, regardless of whether they have symptoms, in both hospital settings and social activities, based on the short period of incubation and COSI. The public health service should take practical measures to curb the spread, including isolation of cases, tracing close contacts, and containment of severe epidemic areas. Besides this, healthcare workers should be alert during the epidemic and self-quarantine if self-suspected of infection.

Indexed as

Disease OutbreaksFamilyHealth PersonnelAdultAgedAged, 80 and overBetacoronavirusChinaCoronavirus InfectionsCOVID-19FemaleHospitalsHumansInfectious Disease Incubation PeriodInfectious Disease Transmission, Patient-to-ProfessionalLength of Stay

Identifiers

PMID32366488
PMCPMC7236818

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.