Evidence map›Paper›PMID 34519380›Full record

ArticleIndoor air2022

Airborne SARS-CoV-2 surveillance in hospital environment using high-flowrate air samplers and its comparison to surface sampling.

Alicia Xy Ang, Irvan Luhung, Bintou A Ahidjo, Daniela I Drautz-Moses, Paul A Tambyah, Chee Keng Mok, Kenny Jx Lau, Sai Meng Tham, Justin Jang Hann Chu, David M Allen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Indoor air, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Residential exposure toThe European respiratory journal · 2024
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  7. Review
  8. Review
  9. Article
  10. Article
  11. How to Build Live-Cell Sensor Microdevices.Sensors (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. SARS-CoV-2 aerosol transmission and detection.Eco-Environment & Health · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. SARS-CoV-2 in the Air Surrounding Patients during Nebulizer Therapy.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    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 at 3 institutions in 1 country.

Alicia Xy AngDepartment of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.ORCID 0000-0002-6949-6994
Irvan LuhungSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.
Bintou A AhidjoDepartment of Microbiology and Immunology, National University of Singapore, Singapore, Singapore.
Daniela I Drautz-MosesSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.
Paul A TambyahDepartment of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.
Chee Keng MokDepartment of Microbiology and Immunology, National University of Singapore, Singapore, Singapore.
Kenny Jx LauSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.
Sai Meng ThamDepartment of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.
Justin Jang Hann ChuDepartment of Microbiology and Immunology, National University of Singapore, Singapore, Singapore.
David M AllenDepartment of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.ORCID 0000-0001-5333-1258
Stephan C SchusterSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9082-7527
National University of Singapore · SGNanyang Technological University · SGNational University Hospital · SG

Funding

Freepoint Commodities, Pvt LtdNational Medical Research Council grant MOH-000411
6 · The paper itself

Abstract

Reliable methods to detect the presence of SARS-CoV-2 at venues where people gather are essential for epidemiological surveillance to guide public policy. Communal screening of air in a highly crowded space has the potential to provide early warning on the presence and potential transmission of SARS-CoV-2 as suggested by studies early in the epidemic. As hospitals and public facilities apply varying degrees of restrictions and regulations, it is important to provide multiple methodological options to enable environmental SARS-CoV-2 surveillance under different conditions. This study assessed the feasibility of using high-flowrate air samplers combined with RNA extraction kit designed for environmental sample to perform airborne SARS-CoV-2 surveillance in hospital setting, tested by RT-qPCR. The success rate of the air samples in detecting SARS-CoV-2 was then compared with surface swab samples collected in the same proximity. Additionally, positive RT-qPCR samples underwent viral culture to assess the viability of the sampled SARS-CoV-2. The study was performed in inpatient ward environments of a quaternary care university teaching hospital in Singapore housing active COVID-19 patients within the period of February to May 2020. Two types of wards were tested, naturally ventilated open-cohort ward and mechanically ventilated isolation ward. Distances between the site of air sampling and the patient cluster in the investigated wards were also recorded. No successful detection of airborne SARS-CoV-2 was recorded when 50 L/min air samplers were used. Upon increasing the sampling flowrate to 150 L/min, our results showed a high success rate in detecting the presence of SARS-CoV-2 from the air samples (72%) compared to the surface swab samples (9.6%). The positive detection rate of the air samples along with the corresponding viral load could be associated with the distance between sampling site and patient. The furthest distance from patient with PCR-positive air samples was 5.5 m. The airborne SARS-CoV-2 detection was comparable between the two types of wards with 60%-87.5% success rate. High prevalence of the virus was found in toilet areas, both on surfaces and in air. Finally, no successful culture attempt was recorded from the environmental air or surface samples.

Indexed as

Air MicrobiologyAir Pollution, IndoorHospitalsCOVID-19HumansRNA, ViralSARS-CoV-2Specimen HandlingRNA, Viralcommunal testingCOVID-19environmental surveillancehigh-flowrate air sampling

Identifiers

PMID34519380
PMCPMC8653264
OpenAlexW3198987998

What OpenQuestion holds

Textmetadata
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.