Operational Strategies to Prevent Coronavirus Disease 2019 (COVID-19) Spread in Radiology: Experience From a Singapore Radiology Department After Severe Acute Respiratory Syndrome.
Open accessAbstract
As coronavirus disease 2019 (COVID-19) infection spreads globally, the demand for chest imaging will inevitably rise with an accompanying increase in risk of disease transmission to frontline radiology staff. Radiology departments should implement strict infection control measures and robust operational plans to minimize disease transmission and mitigate potential impact of possible staff infection. In this article, the authors share several operational guidelines and strategies implemented in our practice to reduce spread of COVID-19 and maintain clinical and educational needs of a teaching hospital.
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Trial staff may be able to reassure participants by sharing various safety measures such as body temperature checks, social distancing measures, hand sanitisation, surgical masks and one-way systems.
“Trial staff may be able to reassure participants by sharing various safety measures such as body temperature checks, social distancing measures, hand sanitisation, surgical masks and one-way systems [25,26].”
From Legacy lessons from the COVID-19 era to improve trial participation and retention: Views from trial participants, PPIE contributors and trial staff across the NIHR portfolio (2024) · cites this paper as [25]
Strategy 2 (Strict Infection Control; page unavailable) describes staff temperature monitoring, hand hygiene and surgical masks, while Strategies 3–4 describe physical segregation and reduced interactions. The paper concerns a radiology department, not trial participants; it does not assess whether sharing these measures reassures participants or describe a one-way system. (LLM, conf=0.86)
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Self-citation
- Authors
- Goh, Y., Chua, W., Lee, J. K. T., Ang, B. W. L., Liang, C. R., Tan, C. A., Choong, D. A. W., Hoon, H. X., Ong, M. K. L., & Quek, S. T.
- Affiliations
- National University Hospital (SG)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Goh, Yonggeng
- Quek, Swee Tian
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 17
- Issue
- 6
- Pages
- 717-723
- ISSN
- 1546-1440 (ISSN-L)
- PMC
- PMC7128642
- OpenAlex
- W3014438031
- Cited by
- 73
- References
- 14
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 19 · 2020: 38
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of the American College of Radiology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, cc-by-nc-nd)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by-nc-nd)
- UNC Libraries
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Infection Control and Ventilation
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Keywords
- COVID-19 pandemic, SARS-CoV-2, infection control, healthcare worker infection prevention, chest imaging, teaching hospitals, operational guidelines, SARS
- MeSH terms
- COVID-19, Communicable Disease Control, Cross Infection, Disease Outbreaks, Female, Humans, Magnetic Resonance Imaging, Male, Organizational Innovation, Pneumonia, Viral, Radiology Department, Hospital, Singapore, Tomography, X-Ray Computed, Occupational Health, Infection Control, Outcome Assessment, Health Care, Infectious Disease Transmission, Patient-to-Professional, Coronavirus Infections, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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