Evidence map›Paper›PMID 32275497›Full record

ArticleEmerging infectious diseases2020

Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020.

Zhen-Dong Guo, Zhong-Yi Wang, Shou-Feng Zhang, Xiao Li, Lin Li, Chao Li, Yan Cui, Rui-Bin Fu, Yun-Zhu Dong, Xiang-Yang Chi and 8 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 522 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
522citing papers in PubMed, 3 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

522 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Effects of Using the Surgical Mask and FFP2 during the 6-Min Walking Test. A Randomized Controlled Trial.International journal of environmental research and public health · 2021
    Trial
  7. Article
  8. Article
  9. Observational
  10. Viruses · 2026
    Article
  11. Article
  12. Detection of SARS-CoV-2 RNA on air purifier filters in university spaces without symptomatic or confirmed cases.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Predicting COVID-19 Cases Across a Large University Campus Using Built Environment Surveillance.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024
    Article

462 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Zhen-Dong Guo
Zhong-Yi Wang
Shou-Feng Zhang
Xiao Li
Lin Li
Chao Li
Yan Cui
Rui-Bin Fu
Yun-Zhu Dong
Xiang-Yang Chi
Meng-Yao Zhang
Kun Liu
Cheng Cao
Bin Liu
Ke Zhang
Yu-Wei Gao
Bing Lu
Wei Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards in Wuhan, China, we tested air and surface samples. Contamination was greater in intensive care units than general wards. Virus was widely distributed on floors, computer mice, trash cans, and sickbed handrails and was detected in air ≈4 m from patients.

Indexed as

Air MicrobiologyAerosolsBetacoronavirusCoronavirus InfectionsCOVID-19HospitalsHumansIntensive Care UnitsPandemicsPneumonia, ViralSARS-CoV-2Aerosols2019 novel coronavirus diseaseaerosolChinacoronavirus diseaseCOVID-19exposure riskhospital-associated infectionmedical staff protectionrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2virusesWuhanzoonoses

Identifiers

PMID32275497
PMCPMC7323510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.