The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020
Open accessAbstract
As of April 9, 2020, the coronavirus disease 2019 (COVID-19) pandemic had resulted in 1,521,252 cases and 92,798 deaths worldwide, including 459,165 cases and 16,570 deaths in the United States (1,2). Health care personnel (HCP) are essential workers defined as paid and unpaid persons serving in health care settings who have the potential for direct or indirect exposure to patients or infectious materials (3). During February 12-April 9, among 315,531 COVID-19 cases reported to CDC using a standardized form, 49,370 (16%) included data on whether the patient was a health care worker in the United States; including 9,282 (19%) who were identified as HCP. Among HCP patients with data available, the median age was 42 years (interquartile range [IQR] = 32-54 years), 6,603 (73%) were female, and 1,779 (38%) reported at least one underlying health condition. Among HCP patients with data on health care, household, and community exposures, 780 (55%) reported contact with a COVID-19 patient only in health care settings. Although 4,336 (92%) HCP patients reported having at least one symptom among fever, cough, or shortness of breath, the remaining 8% did not report any of these symptoms. Most HCP with COVID-19 (6,760, 90%) were not hospitalized; however, severe outcomes, including 27 deaths, occurred across all age groups; deaths most frequently occurred in HCP aged ≥65 years. These preliminary findings highlight that whether HCP acquire infection at work or in the community, it is necessary to protect the health and safety of this essential national workforce.
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
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Cited by
Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study
Kuderer, N. M., Choueiri, T. K., Shah, D. P., Shyr, Y., Rubinstein, S. M., Rivera, D. R., Shete, S., Hsu, C.-Y., Desai, A., de Lima Lopes, G., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31187-9 · Cited by 1,726
Assessing differential impacts of COVID-19 on black communities
Millett, G. A., Jones, A. T., Benkeser, D., Baral, S., Mercer, L., Beyrer, C., Honermann, B., Lankiewicz, E., Mena, L., Crowley, J. S., et al. (2020) · Annals of Epidemiology · doi:10.1016/j.annepidem.2020.05.003 · Cited by 1,217
Infection and mortality of healthcare workers worldwide from COVID-19: a systematic review
Bandyopadhyay, S., Baticulon, R. E., Kadhum, M., Alser, M., Ojuka, D. K., Badereddin, Y., Kamath, A., Parepalli, S. A., Brown, G., Iharchane, S., et al. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2020-003097 · Cited by 710
Managing ICU surge during the COVID-19 crisis: Rapid guidelines.
Aziz, S., Arabi, Y. M., Alhazzani, W., Evans, L., Citerio, G., Fischkoff, K., Salluh, J., Meyfroidt, G., Alshamsi, F., Oczkowski, S., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06092-5 · Cited by 380
Women, Gender equality and COVID-19
Carli, L. L. (2020) · Gender in Management: An International Journal · doi:10.1108/gm-07-2020-0236 · Cited by 326
Metadata
- Authors
- 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., Stuckey, M. J., & Walters, M.
- Venue
- MMWR. Morbidity and Mortality Weekly Report
- Published
- 2020-04-17
- Volume
- 69
- Issue
- 15
- Pages
- 477-481
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- OpenAlex
- W3016097752
- Cited by
- 801
- References
- 1
- FWCI
- 22.79
- Type
- journal article
- Language
- en
- Open access
- diamond
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: Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020. https://app.cochat.ai/papers/10.15585/mmwr.mm6915e6
- The paper
- 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., Stuckey, M. J., & Walters, M. (2020). Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020. MMWR. Morbidity and Mortality Weekly Report. https://doi.org/10.15585/mmwr.mm6915e6
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.