The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Role of air distribution in SARS transmission during the largest nosocomial outbreak in Hong Kong
Open accessAbstract
UNLABELLED: Severe acute respiratory syndrome (SARS) is primarily transmitted by bio-aerosol droplets or direct personal contacts. This paper presents a detailed study of environmental evidence of possible airborne transmission in a hospital ward during the largest nosocomial SARS outbreak in Hong Kong in March 2003. Retrospective on-site inspections and measurements of the ventilation design and air distribution system were carried out on July 17, 2003. Limited on-site measurements of bio-aerosol dispersion were also carried out on July 22. Computational fluid dynamics simulations were performed to analyze the bio-aerosol dispersion in the hospital ward. We attempted to predict the air distribution during the time of measurement in July 2003 and the time of exposure in March 2003. The predicted bio-aerosol concentration distribution in the ward seemed to agree fairly well with the spatial infection pattern of SARS cases. Possible improvement to air distribution in the hospital ward was also considered. PRACTICAL IMPLICATIONS: Our study revealed the need for the development of improved ventilation and air-conditioning systems in an isolation ward or a general hospital ward for infectious respiratory diseases. The outbreak in Ward 8A, which was in a general hospital and could house nearly 40 patients, demonstrated the cross-infection risks of respiratory infectious diseases in hospitals if a potential highly infectious patient was not identified and isolated. Our example simulation, which extended the SARS Busters' design for an isolation room to Ward 8A, demonstrated that there was room for improvement to minimize cross-infection in large general hospital wards.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The size distribution of droplets in the exhaled breath of healthy human subjects
PAPINENI, R. S., & ROSENTHAL, F. S. (1997) · Journal of Aerosol Medicine · doi:10.1089/jam.1997.10.105 · Cited by 690
Cited by
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Ferretti, L., Wymant, C., Kendall, M., Zhao, L., Nurtay, A., Abeler-Dörner, L., Parker, M., Bonsall, D., & Fraser, C. (2020) · Science · doi:10.1126/science.abb6936 · Cited by 2,512
Airborne transmission of SARS-CoV-2: The world should face the reality
Morawska, L., & Cao, J. (2020) · Environment International · doi:10.1016/j.envint.2020.105730 · Cited by 1,728
How can airborne transmission of COVID-19 indoors be minimised?
Morawska, L., Tang, J. W., Bahnfleth, W., Bluyssen, P. M., Boerstra, A., Buonanno, G., Cao, J., Dancer, S., Floto, A., Franchimon, F., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.105832 · Cited by 1,343
Self-citationProbable airborne transmission of SARS-CoV-2 in a poorly ventilated restaurant
Li, Y., Qian, H., Hang, J., Chen, X., Cheng, P., Ling, H., Wang, S., Liang, P., Li, J., Xiao, S., et al. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.107788 · Cited by 689
Self-citationParticle Sizes of Infectious Aerosols: Implications for Infection Control
Fennelly, K. P. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30323-4 · Cited by 621
Metadata
- Authors
- Li, Y., Huang, X., Yu, I. T. S., Wong, T. W., & Qian, H.
- Venue
- Indoor Air
- Publisher
- Hindawi Limited
- Published
- 2005-04
- Volume
- 15
- Issue
- 2
- Pages
- 83-95
- ISSN
- 0905-6947 (ISSN-L)
- 1600-0668
- OpenAlex
- W2160317728
- Cited by
- 414
- References
- 1
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Role of air distribution in SARS transmission during the largest nosocomial outbreak in Hong Kong. https://app.cochat.ai/papers/10.1111/j.1600-0668.2004.00317.x
- The paper
- Li, Y., Huang, X., Yu, I. T. S., Wong, T. W., & Qian, H. (2005). Role of air distribution in SARS transmission during the largest nosocomial outbreak in Hong Kong. Indoor Air. https://doi.org/10.1111/j.1600-0668.2004.00317.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.