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Cited by 2,279

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 access
Oran, Daniel P., Topol, Eric J.·2020·Annals of Internal Medicine
DOI 10.7326/m20-3012
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Abstract

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.

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Research works printed but not linked: 16

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Cited by

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
DOI
10.7326/m20-3012
OpenAlex
W3165838540
Cited by
2,279
References
2
FWCI
62.14
Type
journal article
Language
en
Open access
green

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.