The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Use of personal protective equipment against coronavirus disease 2019 by healthcare professionals in Wuhan, China: cross sectional study
Open accessAbstract
Objective: To examine the protective effects of appropriate personal protective equipment for frontline healthcare professionals who provided care for patients with coronavirus disease 2019 (covid-19). Design: Cross sectional study. Setting: Four hospitals in Wuhan, China. Participants: 420 healthcare professionals (116 doctors and 304 nurses) who were deployed to Wuhan by two affiliated hospitals of Sun Yat-sen University and Nanfang Hospital of Southern Medical University for 6-8 weeks from 24 January to 7 April 2020. These study participants were provided with appropriate personal protective equipment to deliver healthcare to patients admitted to hospital with covid-19 and were involved in aerosol generating procedures. 77 healthcare professionals with no exposure history to covid-19 and 80 patients who had recovered from covid-19 were recruited to verify the accuracy of antibody testing. Main outcome measures: Covid-19 related symptoms (fever, cough, and dyspnoea) and evidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, defined as a positive test for virus specific nucleic acids in nasopharyngeal swabs, or a positive test for IgM or IgG antibodies in the serum samples. Results: The average age of study participants was 35.8 years and 68.1% (286/420) were women. These study participants worked 4-6 hour shifts for an average of 5.4 days a week; they worked an average of 16.2 hours each week in intensive care units. All 420 study participants had direct contact with patients with covid-19 and performed at least one aerosol generating procedure. During the deployment period in Wuhan, none of the study participants reported covid-19 related symptoms. When the participants returned home, they all tested negative for SARS-CoV-2 specific nucleic acids and IgM or IgG antibodies (95% confidence interval 0.0 to 0.7%). Conclusion: Before a safe and effective vaccine becomes available, healthcare professionals remain susceptible to covid-19. Despite being at high risk of exposure, study participants were appropriately protected and did not contract infection or develop protective immunity against SARS-CoV-2. Healthcare systems must give priority to the procurement and distribution of personal protective equipment, and provide adequate training to healthcare professionals in its use.
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
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
COVID-19 and Italy: what next?
Remuzzi, A., & Remuzzi, G. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30627-9 · Cited by 3,119
Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
Zhao, J., Yuan, Q., Wang, H., Liu, W., Liao, X., Su, Y., Wang, X., Yuan, J., Li, T., Li, J., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa344 · Cited by 2,607
Seto, W., Tsang, D., Yung, R., Ching, T., Ng, T., Ho, M., Ho, L., & Peiris, J. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13168-6 · Cited by 863
Antibodies in Infants Born to Mothers With COVID-19 Pneumonia
Zeng, H., Xu, C., Fan, J., Tang, Y., Deng, Q., Zhang, W., & Long, X. (2020) · JAMA · doi:10.1001/jama.2020.4861 · Cited by 804
Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020
CDC COVID-19 Response Team, CDC COVID-19 Response Team, Burrer, S. L., de Perio, M. A., Hughes, M. M., Kuhar, D. T., Luckhaupt, S. E., McDaniel, C. J., Porter, R. M., Silk, B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e6 · Cited by 801
Wang, J., Zhou, M., & Liu, F. (2020) · Journal of Hospital Infection · doi:10.1016/j.jhin.2020.03.002 · Cited by 789
Self-citationRan, L., Chen, X., Wang, Y., Wu, W., Zhang, L., & Tan, X. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa287 · Cited by 695
Li, Y., Yao, L., Li, J., Chen, L., Song, Y., Cai, Z., & Yang, C. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25786 · Cited by 687
Cited by
Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020
CDC COVID-19 Response Team, CDC COVID-19 Response Team, Burrer, S. L., de Perio, M. A., Hughes, M. M., Kuhar, D. T., Luckhaupt, S. E., McDaniel, C. J., Porter, R. M., Silk, B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e6 · Cited by 801
Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis
Chen, X., Chen, Z., Azman, A. S., Deng, X., Sun, R., Zhao, Z., Zheng, N., Chen, X., Lu, W., Zhuang, T., et al. (2021) · The Lancet Global Health · doi:10.1016/s2214-109x(21)00026-7 · Cited by 239
Randall, K., Ewing, E. T., Marr, L. C., Jimenez, J. L., & Bourouiba, L. (2021) · Interface Focus · doi:10.1098/rsfs.2021.0049 · Cited by 12
Metadata
- Authors
- Liu, M., Cheng, S.-Z., Xu, K.-W., Yang, Y., Zhu, Q.-T., Zhang, H., Yang, D.-Y., Cheng, S.-Y., Xiao, H., Wang, J.-W., Yao, H.-R., Cong, Y.-T., Zhou, Y.-Q., Peng, S., Kuang, M., Hou, F.-F., Cheng, K., & Xiao, H.-P.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2020-06-10
- Volume
- 369
- Pages
- m2195
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W3033368763
- Cited by
- 294
- References
- 16
- FWCI
- 31.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Use of personal protective equipment against coronavirus disease 2019 by healthcare professionals in Wuhan, China: cross sectional study. https://app.cochat.ai/papers/10.1136/bmj.m2195
- The paper
- Liu, M., Cheng, S.-Z., Xu, K.-W., Yang, Y., Zhu, Q.-T., Zhang, H., Yang, D.-Y., Cheng, S.-Y., Xiao, H., Wang, J.-W., Yao, H.-R., Cong, Y.-T., Zhou, Y.-Q., Peng, S., Kuang, M., Hou, F.-F., Cheng, K., & Xiao, H.-P. (2020). Use of personal protective equipment against coronavirus disease 2019 by healthcare professionals in Wuhan, China: cross sectional study. BMJ. https://doi.org/10.1136/bmj.m2195
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.