The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study
Open accessAbstract
BACKGROUND: 10 days after the first reported case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the Netherlands (on Feb 27, 2020), 55 (4%) of 1497 health-care workers in nine hospitals located in the south of the Netherlands had tested positive for SARS-CoV-2 RNA. We aimed to gain insight in possible sources of infection in health-care workers. METHODS: We did a cross-sectional study at three of the nine hospitals located in the south of the Netherlands. We screened health-care workers at the participating hospitals for SARS-CoV-2 infection, based on clinical symptoms (fever or mild respiratory symptoms) in the 10 days before screening. We obtained epidemiological data through structured interviews with health-care workers and combined this information with data from whole-genome sequencing of SARS-CoV-2 in clinical samples taken from health-care workers and patients. We did an in-depth analysis of sources and modes of transmission of SARS-CoV-2 in health-care workers and patients. FINDINGS: Between March 2 and March 12, 2020, 1796 (15%) of 12 022 health-care workers were screened, of whom 96 (5%) tested positive for SARS-CoV-2. We obtained complete and near-complete genome sequences from 50 health-care workers and ten patients. Most sequences were grouped in three clusters, with two clusters showing local circulation within the region. The noted patterns were consistent with multiple introductions into the hospitals through community-acquired infections and local amplification in the community. INTERPRETATION: Although direct transmission in the hospitals cannot be ruled out, our data do not support widespread nosocomial transmission as the source of infection in patients or health-care workers. FUNDING: EU Horizon 2020 (RECoVer, VEO, and the European Joint Programme One Health METASTAVA), and the National Institute of Allergy and Infectious Diseases, National Institutes of Health.
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Self-citationAn interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
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A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology
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Self-citationDeath from COVID-19 of 23 Health Care Workers in China
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Czorniej, K. P., Krajewska-Kułak, E., & Kułak, W. (2023) · Medical Science Monitor · doi:10.12659/msm.940766 · Cited by 1
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Metadata
- Authors
- Sikkema, R. S., Pas, S. D., Nieuwenhuijse, D. F., O'Toole, Á., Verweij, J., van der Linden, A., Chestakova, I., Schapendonk, C., Pronk, M., Lexmond, P., Bestebroer, T., Overmars, R. J., van Nieuwkoop, S., van den Bijllaardt, W., Bentvelsen, R. G., van Rijen, M. M. L., Buiting, A. G. M., van Oudheusden, A. J. G., Diederen, B. M., Bergmans, A. M. C., van der Eijk, A., Molenkamp, R., Rambaut, A., Timen, A., Kluytmans, J. A. J. W., Oude Munnink, B. B., Kluytmans van den Bergh, M. F. Q., & Koopmans, M. P. G.
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 20
- Issue
- 11
- Pages
- 1273-1280
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W3038776944
- Cited by
- 263
- References
- 9
- FWCI
- 7.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study. https://app.cochat.ai/papers/10.1016/s1473-3099(20)30527-2
- The paper
- Sikkema, R. S., Pas, S. D., Nieuwenhuijse, D. F., O'Toole, Á., Verweij, J., van der Linden, A., Chestakova, I., Schapendonk, C., Pronk, M., Lexmond, P., Bestebroer, T., Overmars, R. J., van Nieuwkoop, S., van den Bijllaardt, W., Bentvelsen, R. G., van Rijen, M. M. L., Buiting, A. G. M., van Oudheusden, A. J. G., Diederen, B. M., . . . Koopmans, M. P. G. (2020). COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(20)30527-2
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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.
