2023
DOI: 10.3389/fmed.2023.1148688
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of droplet digital qRT-PCR (dd qRT-PCR) for quantification of SARS CoV-2 RNA in stool and urine specimens of COVID-19 patients

Abstract: IntroductionThere have been a few reports of viral load detection in stool and urine samples of patients with coronavirus disease 2019 (COVID-19), and the transmission of the virus through faecal oral route. For clinical diagnosis and treatment, the widely used reverse transcription-polymerase chain reaction (qRT-PCR) method has some limitations.MethodsThe aim of our study to assess the presence and concentration of SARS CoV-2 RNA in stool and urine samples from COVID-19 patients with mild, moderate, and sever… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 27 publications
0
1
0
Order By: Relevance
“…Digital PCR’s ability to detect different types of viruses, including respiratory pathogens and others like Ebola and Dengue, in blood samples, has been validated ( 34 , 35 ). For instance, our work on the detection of SARS-CoV-2 in saliva ( 26 ), and the effectiveness of digital PCR in other matrices such as urine and feces for SARS-CoV-2 ( 36 ) and bacteria in blood ( 34 ), underlines the flexibility of this technology in a variety of diagnostic scenarios.…”
Section: Discussionmentioning
confidence: 99%
“…Digital PCR’s ability to detect different types of viruses, including respiratory pathogens and others like Ebola and Dengue, in blood samples, has been validated ( 34 , 35 ). For instance, our work on the detection of SARS-CoV-2 in saliva ( 26 ), and the effectiveness of digital PCR in other matrices such as urine and feces for SARS-CoV-2 ( 36 ) and bacteria in blood ( 34 ), underlines the flexibility of this technology in a variety of diagnostic scenarios.…”
Section: Discussionmentioning
confidence: 99%