The DOI matches its Crossref record.
Strong associations and moderate predictive value of early symptoms for SARS-CoV-2 test positivity among healthcare workers, the Netherlands, March 2020
Open accessAbstract
Healthcare workers (n = 803) with mild symptoms were tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (n = 90 positive) and asked to complete a symptom questionnaire. Anosmia, muscle ache, ocular pain, general malaise, headache, extreme tiredness and fever were associated with positivity. A predictive model based on these symptoms showed moderate discriminative value (sensitivity: 91.2%; specificity: 55.6%). While our models would not justify presumptive SARS-CoV-2 diagnosis without molecular confirmation, it can contribute to targeted screening strategies.
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Cited by
Collider bias undermines our understanding of COVID-19 disease risk and severity
Griffith, G. J., Morris, T. T., Tudball, M. J., Herbert, A., Mancano, G., Pike, L., Sharp, G. C., Sterne, J., Palmer, T. M., Davey Smith, G., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19478-2 · Cited by 826
Gómez-Ochoa, S. A., Franco, O. H., Rojas, L. Z., Raguindin, P. F., Roa-Díaz, Z. M., Wyssmann, B. M., Guevara, S. L. R., Echeverría, L. E., Glisic, M., & Muka, T. (2021) · American Journal of Epidemiology · doi:10.1093/aje/kwaa191 · Cited by 785
Machine learning-based prediction of COVID-19 diagnosis based on symptoms
Zoabi, Y., Deri-Rozov, S., & Shomron, N. (2021) · npj Digital Medicine · doi:10.1038/s41746-020-00372-6 · Cited by 523
Fernández-de-las-Peñas, C., Palacios-Ceña, D., Gómez-Mayordomo, V., Cuadrado, M. L., & Florencio, L. L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052621 · Cited by 473
Risk of COVID-19 in health-care workers in Denmark: an observational cohort study
Iversen, K., Bundgaard, H., Hasselbalch, R. B., Kristensen, J. H., Nielsen, P. B., Pries-Heje, M., Knudsen, A. D., Christensen, C. E., Fogh, K., Norsk, J. B., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30589-2 · Cited by 431
Metadata
- Authors
- Tostmann, A., Bradley, J., Bousema, T., Yiek, W.-K., Holwerda, M., Bleeker-Rovers, C., ten Oever, J., Meijer, C., Rahamat-Langendoen, J., Hopman, J., van der Geest-Blankert, N., & Wertheim, H.
- Venue
- Eurosurveillance
- Published
- 2020-04-23
- Volume
- 25
- Issue
- 16
- ISSN
- 1025-496X (ISSN-L)
- 1560-7917
- OpenAlex
- W3018197536
- Cited by
- 228
- References
- 0
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- diamond
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- CoChat. (2026). Citation check: Strong associations and moderate predictive value of early symptoms for SARS-CoV-2 test positivity among healthcare workers, the Netherlands, March 2020. https://app.cochat.ai/papers/10.2807/1560-7917.es.2020.25.16.2000508
- The paper
- Tostmann, A., Bradley, J., Bousema, T., Yiek, W.-K., Holwerda, M., Bleeker-Rovers, C., ten Oever, J., Meijer, C., Rahamat-Langendoen, J., Hopman, J., van der Geest-Blankert, N., & Wertheim, H. (2020). Strong associations and moderate predictive value of early symptoms for SARS-CoV-2 test positivity among healthcare workers, the Netherlands, March 2020. Eurosurveillance. https://doi.org/10.2807/1560-7917.es.2020.25.16.2000508
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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.
