Detection of SARS-CoV-2 in Different Types of Clinical Specimens.

By Wenling Wang, Yanli Xu, R. Gao, R. Lu, Kai Han, Guizhen Wu, W. Tan. Journal of the American Medical Association (JAMA), 2020

4,905 citations recorded by the source corpus.

This study describes results of PCR and viral RNA testing for SARS-CoV-2 in bronchoalveolar fluid, sputum, feces, blood, and urine specimens from patients with COVID-19 infection in China to identify possible means of non-respiratory transmission.

Subfields: Infectious Diseases

View Paper: https://www.semanticscholar.org/paper/5d580163d61803d874c760b00c6789a95655e375

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In Infectious Diseases

Citations in the corpus

Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations (2020, neutral): “28,31,101 Visits to the ICU should be restricted or banned to prevent further transmission, except perhaps for the imminently dying.”
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning (2020, methodology): “Initially, Real Time Reverse Transcription Polymerase Chain Reaction (RT-PCR) is the only technique to detect the COVID-19 from respiratory samplings (Wang, Xu et al., 2020).”
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images (2020, methodology): “The main screening method used for detecting COVID-19 cases is reverse transcriptase-polymerase chain reaction (RT-PCR) [14] testing, which can detect SARS-CoV-2 RNA from respiratory specimens (collected through a variety of means such as nasopharyngeal or oropharyngeal swabs).”
Can AI Help in Screening Viral and COVID-19 Pneumonia? (2020, methodology): “RT-PCR is used as a reference method for the detection of COVID-19 patients, however, the technique is manual, complicated, laborious and time-consuming with a positivity rate of only 63% [5].”
CO-RADS – A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation (2020, background): “Mathias Prokop, MD, PhD* (1); Wouter van Everdingen, MD, PhD* (1), Tjalco van Rees Vellinga, MD (2); Jet Quarles van Ufford, MD, PhD (2); Lauran Stöger, MD, PhD (3); Ludo Beenen, MD (4); Bram Geurts, MD (1), Hester Gietema (5,6), Jasenko Krdzalic, MD, PhD (7), Cornelia Schaefer-Prokop, MD, PhD (8), ”
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19 (2021, positive): “…test for diagnosing COVID-19 as well as the high cost (120–130 USD), time consuming, low sensitivity, laborious of RT-PCR method, scientist turns to chest scan such as CT scans and X-rays as an alternative approach for diagnosis of severe pneumonia caused by SAR-CoV-2 and bacterial pneumonia [38].”