Annals of Internal Medicine· 2020Q1· Review
Prevalence of Asymptomatic SARS-CoV-2 Infection
- 2,466citations
- Q1SCImago
- 2020year
Short summary
Asymptomatic individuals likely account for 40-45% of SARS-CoV-2 infections and can transmit the virus for over 14 days, potentially showing subclinical lung abnormalities.
AI-generated from the title and abstract; the full text is not read.
Key points
- Asymptomatic individuals represent 40-45% of SARS-CoV-2 infections.
- Asymptomatic transmission can last longer than 14 days.
- Subclinical lung abnormalities may be present in asymptomatic cases.
- Testing programs must include asymptomatic individuals.
- Innovative surveillance tactics like crowdsourcing wearable data and sewage monitoring are suggested.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Annals of Internal Medicine, 2020 · DOI ↗
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Field: Modeling and Simulation
Modeling and SimulationMathematics