The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
SARS-CoV-2 exposure, symptoms and seroprevalence in healthcare workers in Sweden
Open accessAbstract
SARS-CoV-2 may pose an occupational health risk to healthcare workers. Here, we report the seroprevalence of SARS-CoV-2 antibodies, self-reported symptoms and occupational exposure to SARS-CoV-2 among healthcare workers at a large acute care hospital in Sweden. The seroprevalence of IgG antibodies against SARS-CoV-2 was 19.1% among the 2149 healthcare workers recruited between April 14th and May 8th 2020, which was higher than the reported regional seroprevalence during the same time period. Symptoms associated with seroprevalence were anosmia (odds ratio (OR) 28.4, 95% CI 20.6–39.5) and ageusia (OR 19.2, 95% CI 14.3–26.1). Seroprevalence was also associated with patient contact (OR 2.9, 95% CI 1.9–4.5) and covid-19 patient contact (OR 3.3, 95% CI 2.2–5.3). These findings imply an occupational risk for SARS-CoV-2 infection among healthcare workers. Continued measures are warranted to assure healthcare workers safety and reduce transmission from healthcare workers to patients and to the community.
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
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation
Wrapp, D., Wang, N., Corbett, K. S., Goldsmith, J. A., Hsieh, C.-L., Abiona, O., Graham, B. S., & McLellan, J. S. (2020) · Science · doi:10.1126/science.abb2507 · Cited by 8,897
Nguyen, L. H., Drew, D. A., Graham, M. S., Joshi, A. D., Guo, C.-G., Ma, W., Mehta, R. S., Warner, E. T., Sikavi, D. R., Lo, C.-H., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30164-x · Cited by 2,395
Real-time tracking of self-reported symptoms to predict potential COVID-19
Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., Ganesh, S., Varsavsky, T., Cardoso, M. J., El-Sayed Moustafa, J. S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0916-2 · Cited by 1,517
Epidemiology of Covid-19 in a Long-Term Care Facility in King County, Washington
McMichael, T. M., Currie, D. W., Clark, S., Pogosjans, S., Kay, M., Schwartz, N. G., Lewis, J., Baer, A., Kawakami, V., Lukoff, M. D., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2005412 · Cited by 1,319
Spread of SARS-CoV-2 in the Icelandic population
Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2006100 · Cited by 1,248
Guo, Z.-D., Wang, Z.-Y., Zhang, S.-F., Li, X., Li, L., Li, C., Cui, Y., Fu, R.-B., Dong, Y.-Z., Chi, X.-Y., et al. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2607.200885 · Cited by 1,065
Estimating the burden of SARS-CoV-2 in France
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038
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
Ran, L., Chen, X., Wang, Y., Wu, W., Zhang, L., & Tan, X. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa287 · Cited by 695
Cited by
Hansen, C. H., Michlmayr, D., Gubbels, S. M., Mølbak, K., & Ethelberg, S. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00575-4 · Cited by 586
Blom, K., Marking, U., Havervall, S., Norin, N. G., Gordon, M., García, M., Tecleab, T., Christ, W., Forsell, M., Phillipson, M., et al. (2022) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(22)00362-0 · Cited by 41
Self-citation
Metadata
- Authors
- Rudberg, A.-S., Havervall, S., Månberg, A., Jernbom Falk, A., Aguilera, K., Ng, H., Gabrielsson, L., Salomonsson, A.-C., Hanke, L., Murrell, B., McInerney, G., Olofsson, J., Andersson, E., Hellström, C., Bayati, S., Bergström, S., Pin, E., Sjöberg, R., Tegel, H., Hedhammar, M., Phillipson, M., Nilsson, P., Hober, S., & Thålin, C.
- Venue
- Nature Communications
- Published
- 2020-10-08
- Volume
- 11
- Issue
- 1
- Pages
- 5064-5064
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3091912491
- Cited by
- 303
- References
- 36
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- gold
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: SARS-CoV-2 exposure, symptoms and seroprevalence in healthcare workers in Sweden. https://app.cochat.ai/papers/10.1038/s41467-020-18848-0
- The paper
- Rudberg, A.-S., Havervall, S., Månberg, A., Jernbom Falk, A., Aguilera, K., Ng, H., Gabrielsson, L., Salomonsson, A.-C., Hanke, L., Murrell, B., McInerney, G., Olofsson, J., Andersson, E., Hellström, C., Bayati, S., Bergström, S., Pin, E., Sjöberg, R., Tegel, H., . . . Thålin, C. (2020). SARS-CoV-2 exposure, symptoms and seroprevalence in healthcare workers in Sweden. Nature Communications. https://doi.org/10.1038/s41467-020-18848-0
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.
