The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Prevalence of Asymptomatic SARS-CoV-2 Infection: A Narrative Review
Open accessAbstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the world since the first cases of coronavirus disease 2019 (COVID-19) were observed in December 2019 in Wuhan, China. It has been suspected that infected persons who remain asymptomatic play a significant role in the ongoing pandemic, but their relative number and effect have been uncertain. The authors sought to review and synthesize the available evidence on asymptomatic SARS-CoV-2 infection. Asymptomatic persons seem to account for approximately 40% to 45% of SARS-CoV-2 infections, and they can transmit the virus to others for an extended period, perhaps longer than 14 days. Asymptomatic infection may be associated with subclinical lung abnormalities, as detected by computed tomography. Because of the high risk for silent spread by asymptomatic persons, it is imperative that testing programs include those without symptoms. To supplement conventional diagnostic testing, which is constrained by capacity, cost, and its one-off nature, innovative tactics for public health surveillance, such as crowdsourcing digital wearable data and monitoring sewage sludge, might be helpful.
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
Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611
Spread of SARS-CoV-2 in the Icelandic population
Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2006100 · Cited by 1,248
Research works printed but not linked: 16
- 10.1016/j.ijid.2020.03.020 · DOI · Paper page
- 10.1001/jama.2020.2565 · DOI · Paper page
- 10.1056/NEJMc2001737 · DOI · Paper page
- 10.15585/mmwr.mm6913e1 · DOI · Paper page
- 10.15585/mmwr.mm6912e3 · DOI · Paper page
- 10.1056/NEJMc2009316 · DOI · Paper page
- 10.1093/jtm/taaa054 · DOI
- 10.1056/NEJMoa2008457 · DOI · Paper page
- 10.1136/thoraxjnl-2020-215091 · DOI · Paper page
- Inui S, 2020, Radiol Cardiothorac Imaging, 2, 10
- 10.2807/1560-7917.ES.2020.25.10.2000180 · DOI · Paper page
- 10.1001/jama.2020.6887 · DOI · Paper page
- 10.1001/jamanetworkopen.2020.10182 · DOI · Paper page
- 10.1093/cid/ciy073 · DOI
- 10.1177/1460458219897152 · DOI
- 10.1016/S2589-7500(19)30222-5 · DOI · Paper page
Cited by
Dexamethasone in Hospitalized Patients with Covid-19
The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477
Adaptive immunity to SARS-CoV-2 and COVID-19
Sette, A., & Crotty, S. (2021) · Cell · doi:10.1016/j.cell.2021.01.007 · Cited by 1,860
REGN-COV2, a Neutralizing Antibody Cocktail, in Outpatients with Covid-19
Weinreich, D. M., Sivapalasingam, S., Norton, T., Ali, S., Gao, H., Bhore, R., Musser, B. J., Soo, Y., Rofail, D., Im, J., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2035002 · Cited by 1,642
Airborne transmission of respiratory viruses
Wang, C. C., Prather, K. A., Sznitman, J., Jimenez, J. L., Lakdawala, S. S., Tufekci, Z., & Marr, L. C. (2021) · Science · doi:10.1126/science.abd9149 · Cited by 1,543
Townsend, L., Dyer, A. H., Jones, K., Dunne, J., Mooney, A., Gaffney, F., O'Connor, L., Leavy, D., O'Brien, K., Dowds, J., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240784 · Cited by 911
Metadata
- Authors
- Oran, D. P., & Topol, E. J.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2020-09-01
- Volume
- 173
- Issue
- 5
- Pages
- 362-367
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W3165838540
- Cited by
- 2,279
- References
- 2
- FWCI
- 62.14
- Type
- journal article
- Language
- en
- Open access
- green
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
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.