The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A novel coronavirus (2019-nCoV) causing pneumonia-associated respiratory syndrome
Open accessAbstract
By the end of 2019, the World Health Organization (WHO) was informed about an outbreak of pneumonia of unknown etiology in Wuhan, China. Some patients were linked to a seafood market, suggesting animal-to-human transmission, but, soon, human-tohuman transmission was confirmed. The pathogen was promptly identified as a novel coronavirus belonging to lineage B betacoronaviruses that also include severe acute respiratory syndrome coronavirus (SARS-CoV), which caused a pandemic in China in 2002/2003, and bat SARS-like coronaviruses. Since 2012, the outbreak of Middle East respiratory syndrome coronavirus infection starting from Saudi Arabia has resulted in 2494 confirmed cases and 858 deaths in 27 countries, posing ongoing threat to global public health (https://www.who.int/ emergencies/mers-cov/en). As of 1 February 2020, there were 12,024 confirmed cases with Wuhan pneumonia and 259 deaths, of which 11,860 cases were found in Mainland China and 164 in 26 other countries and territories. The estimated case fatality rate is about 2%, which is much lower than that of SARS (9.6%), while its transmission rate (R0) is 2–3% (https://www.worldometers.info/coronavirus), similar to that of SARS (3%). Like SARS-CoV-infected individuals, patients infected with this novel betacoronavirus showed abnormal findings on chest computed tomography, along with common symptoms that include fever, cough, and myalgia, or fatigue, at the onset of illness. Still, all indications suggest that the acute respiratory syndrome of SARS is, so far, more severe than that manifested by the present pneumonia outbreak. The novel coronavirus was denoted as “2019-nCoV” by WHO (https://www.who.int/emergencies/diseases/novel-coronavirus2019) and the Wuhan pneumonia was named as “novel coronavirus-infected pneumonia (NCIP)” by Chinese scientists. However, it will seem illogical if coronavirus is listed after NCIP, i.e., “novel coronavirus-infected pneumonia coronavirus (NCIP-CoV)”. Therefore, we suggest renaming NCIP as “pneumonia-associated respiratory syndrome (PARS)” and 2019-nCoV as “PARS coronavirus (PARS-CoV)”, similar to SARS-CoV, to retain equivalent terminology.
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
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Cited by
Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients
Zhou, Y., Fu, B., Zheng, X., Wang, D., Zhao, C., Qi, Y., Sun, R., Tian, Z., Xu, X., & Wei, H. (2020) · National Science Review · doi:10.1093/nsr/nwaa041 · Cited by 1,295
Comorbidities and multi-organ injuries in the treatment of COVID-19
Wang, T., Du, Z., Zhu, F., Cao, Z., An, Y., Gao, Y., & Jiang, B. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30558-4 · Cited by 632
New understanding of the damage of SARS-CoV-2 infection outside the respiratory system
Zhang, Y., Geng, X., Tan, Y., Li, Q., Xu, C., Xu, J., Hao, L., Zeng, Z., Luo, X., Liu, F., et al. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110195 · Cited by 319
Coronavirus disease (COVID-19): a scoping review
Lv, M., Luo, X., Estill, J., Liu, Y., Ren, M., Wang, J., Wang, Q., Zhao, S., Wang, X., Yang, S., et al. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.15.2000125 · Cited by 122
Metadata
- Authors
- Jiang, S., Xia, S., Ying, T., & Lu, L.
- Venue
- Cellular & Molecular Immunology
- Published
- 2020-02-05
- Volume
- 17
- Issue
- 5
- Pages
- 554-554
- ISSN
- 1672-7681 (ISSN-L)
- 2042-0226
- OpenAlex
- W3005255913
- Cited by
- 186
- References
- 1
- FWCI
- 5.01
- 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: A novel coronavirus (2019-nCoV) causing pneumonia-associated respiratory syndrome. https://app.cochat.ai/papers/10.1038/s41423-020-0372-4
- The paper
- Jiang, S., Xia, S., Ying, T., & Lu, L. (2020). A novel coronavirus (2019-nCoV) causing pneumonia-associated respiratory syndrome. Cellular & Molecular Immunology. https://doi.org/10.1038/s41423-020-0372-4
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.