The DOI matches its Crossref record.
Coronavirus Disease 2019 (COVID‐19)
Open accessAbstract
Coronaviruses are important pathogens common to humans and animals In December 2019, a novel coronavirus (2019 novel coronavirus, 2019-nCoV) was discovered in Wuhan, Hubei Province, China, which caused a rapid spread of pneumonia cases in Wuhan and adjacent areas in China Subsequently, there were more and more cases in other countries of the world In February 2020, the World Health Organization named 2019 Coronavirus Disease 2019 (COVID-19) In order to distinguish it from the 2003 severe acute respiratoiy syndrome (Severe Acute Respiratory Syndrome, SARS), this 2019 new coronavirus pathogen is also known as SARS-CoV-2, as well as the Middle East Respiratory Syndrome, MERS) are the most important three human coronavirus infections in the 21st century This article introduces the epidemiology, clinical manifestations, diagnosis, treatment and prevention of COVID-19
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
Cited by
Kim, J., Eygeris, Y., Gupta, M., & Sahay, G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.014 · Cited by 514
Immune response in COVID-19: A review
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.07.001 · Cited by 445
Tocilizumab for the treatment of severe coronavirus disease 2019
Alattar, R., Ibrahim, T. B. H., Shaar, S. H., Abdalla, S., Shukri, K., Daghfal, J. N., Khatib, M. Y., Aboukamar, M., Abukhattab, M., Alsoub, H. A., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25964 · Cited by 259
McKay, D., Yang, H., Elhai, J., & Asmundson, G. J. G. (2020) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102233 · Cited by 152
Brough, H. A., Kalayci, O., Sediva, A., Untersmayr, E., Munblit, D., Rodriguez del Rio, P., Vazquez‐Ortiz, M., Arasi, S., Alvaro‐Lozano, M., Tsabouri, S., et al. (2020) · Pediatric Allergy and Immunology · doi:10.1111/pai.13262 · Cited by 111
Metadata
- Venue
- Journal of Midwifery & Women's Health
- Publisher
- Wiley
- Published
- 2020-11
- Volume
- 65
- Issue
- 6
- Pages
- 833-834
- ISSN
- 1526-9523 (ISSN-L)
- 1542-2011
- OpenAlex
- W4206022219
- Cited by
- 391
- References
- 0
- FWCI
- 50.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Coronavirus Disease 2019 (COVID‐19). https://app.cochat.ai/papers/10.1111/jmwh.13196
- The paper
- Coronavirus Disease 2019 (COVID‐19). (2020). Journal of Midwifery & Women's Health. https://doi.org/10.1111/jmwh.13196
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.
