The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Risk Factors for SARS among Persons without Known Contact with SARS Patients, Beijing, China
Open accessAbstract
Most cases of severe acute respiratory syndrome (SARS) have occurred in close contacts of SARS patients. However, in Beijing, a large proportion of SARS cases occurred in persons without such contact. We conducted a case-control study in Beijing that compared exposures of 94 unlinked, probable SARS patients with those of 281 community-based controls matched for age group and sex. Case-patients were more likely than controls to have chronic medical conditions or to have visited fever clinics (clinics at which possible SARS patients were separated from other patients), eaten outside the home, or taken taxis frequently. The use of masks was strongly protective. Among 31 case-patients for whom convalescent-phase (>21 days) sera were available, 26% had immunoglobulin G to SARS-associated coronavirus. Our finding that clinical SARS was associated with visits to fever clinics supports Beijing's strategy of closing clinics with poor infection-control measures. Our finding that mask use lowered the risk for disease supports the community's use of this strategy.
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
Identification of a novel coronavirus in patients with severe acute respiratory syndrome
Drosten, C., Günther, S., Preiser, W., van der Werf, S., Brodt, H.-R., Becker, S., Rabenau, H., Panning, M., Kolesnikova, L., Fouchier, R. A. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030747 · Cited by 4,574
Donnelly, C. A., Ghani, A. C., Leung, G. M., Hedley, A. J., Fraser, C., Riley, S., Abu-Raddad, L. J., Ho, L.-M., Thach, T.-Q., Chau, P., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13410-1 · Cited by 940 · cited 1×
“Although the outbreaks in Hong Kong and Toronto were also large, most case-patients had healthcare-related or household links to other SARS patients (4,9).”
Background
Research works printed but not linked: 11
- Ksiazek, 2003, A novel coronavirus associated with severe acute respiratory syndrome., N Engl J Med, 348, 1953, 10.1056/NEJMoa030781 · DOI · Paper page
- Booth, 2003, Clinical features and short-term outcomes of 144 patients with SARS in the greater Toronto area., JAMA, 289, 2801, 10.1001/jama.289.21.JOC30885 · DOI · Paper page
- Peiris, 2003, Coronavirus as a possible cause of severe acute respiratory syndrome., Lancet, 361, 1319, 10.1016/S0140-6736(03)13077-2 · DOI · Paper page
- Hsu, 2003, Severe acute respiratory syndrome (SARS) in Singapore: clinical features of index patient and initial contacts., Emerg Infect Dis, 9, 713, 10.3201/eid0906.030264 · DOI · Paper page
- Lingappa, 2004, SARS—Emerging from uncertainty., Emerg Infect Dis, ◼◼◼, 10
- Liang, 2004, Severe acute respiratory syndrome, Beijing, 2003., Emerg Infect Dis, 10, 25, 10.3201/eid1001.030553 · DOI
- Nuorti, 2000, Cigarette smoking and invasive pneumococcal disease., N Engl J Med, 342, 681, 10.1056/NEJM200003093421002 · DOI · Paper page
- Marston, 1994, Surveillance for Legionnaires’ disease: risk factors for morbidity and mortality., Arch Intern Med, 154, 2417, 10.1001/archinte.154.21.2417 · doi:10.1001/archinte.154.21.2417
- Guan, 2003, Isolation and characterization of viruses related to the SARS coronavirus from animals in southern China., Science, 302, 276, 10.1126/science.1087139 · DOI · Paper page
- Ng, 2003, Possible role of an animal vector in the SARS outbreak at Amoy Gardens., Lancet, 362, 570, 10.1016/S0140-6736(03)14121-9 · DOI
- Centers for Disease Control and Prevention, 2003, Prevalence of IgG antibody to SARS-associated coronavirus in animal traders—Guangdong Province, China, 2003., MMWR Morb Mortal Wkly Rep, 52, 986
Cited by
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31142-9 · Cited by 3,843
An evidence review of face masks against COVID-19
Howard, J., Huang, A., Li, Z., Tufekci, Z., Zdimal, V., van der Westhuizen, H.-M., von Delft, A., Price, A., Fridman, L., Tang, L.-H., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014564118 · Cited by 1,529
Physical interventions to interrupt or reduce the spread of respiratory viruses
Jefferson, T., Del Mar, C. B., Dooley, L., Ferroni, E., Al-Ansary, L. A., Bawazeer, G. A., van Driel, M. L., Nair, N. S., Jones, M. A., Thorning, S., et al. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006207.pub4 · Cited by 805
Ngonghala, C. N., Iboi, E., Eikenberry, S., Scotch, M., MacIntyre, C. R., Bonds, M. H., & Gumel, A. B. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108364 · Cited by 549
Nonpharmaceutical Interventions for Pandemic Influenza, National and Community Measures
World Health Organization Writing Group (2012) · Emerging Infectious Diseases · doi:10.3201/eid1201.051371 · Cited by 470
Metadata
- Authors
- Wu, J., Xu, F., Zhou, W., Feikin, D. R., Lin, C.-Y., He, X., Zhu, Z., Liang, W., Chin, D. P., & Schuchat, A.
- Venue
- Emerging Infectious Diseases
- Published
- 2004-02
- Volume
- 10
- Issue
- 2
- Pages
- 210-216
- ISSN
- 1080-6040 (ISSN-L)
- 1080-6059
- OpenAlex
- W2024547785
- Cited by
- 173
- References
- 2
- FWCI
- 4.66
- 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: Risk Factors for SARS among Persons without Known Contact with SARS Patients, Beijing, China. https://app.cochat.ai/papers/10.3201/eid1002.030730
- The paper
- Wu, J., Xu, F., Zhou, W., Feikin, D. R., Lin, C.-Y., He, X., Zhu, Z., Liang, W., Chin, D. P., & Schuchat, A. (2004). Risk Factors for SARS among Persons without Known Contact with SARS Patients, Beijing, China. Emerging Infectious Diseases. https://doi.org/10.3201/eid1002.030730
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.
