DC Field | Value | Language |
---|---|---|
dc.contributor.author | Won, Joungha | ko |
dc.contributor.author | Kazan, Hasan Huseyin | ko |
dc.contributor.author | Kwon, Jea | ko |
dc.contributor.author | Park, Myungsun | ko |
dc.contributor.author | Ergun, Mehmet Ali | ko |
dc.contributor.author | Ozcan, Sureyya | ko |
dc.contributor.author | Choi, Byung Yoon | ko |
dc.contributor.author | Heo, Won Do | ko |
dc.contributor.author | Lee, C. Justin | ko |
dc.date.accessioned | 2021-03-30T01:50:30Z | - |
dc.date.available | 2021-03-30T01:50:30Z | - |
dc.date.created | 2021-03-30 | - |
dc.date.created | 2021-03-30 | - |
dc.date.created | 2021-03-30 | - |
dc.date.created | 2021-03-30 | - |
dc.date.created | 2021-03-30 | - |
dc.date.issued | 2021-02 | - |
dc.identifier.citation | EXPERIMENTAL NEUROBIOLOGY, v.30, no.1, pp.13 - 31 | - |
dc.identifier.issn | 1226-2560 | - |
dc.identifier.uri | http://hdl.handle.net/10203/282191 | - |
dc.description.abstract | In the era of COVID-19 outbreak, various efforts are undertaken to develop a quick, easy, inexpensive, and accurate way for diagnosis. Although many commercial diagnostic kits are available, detailed scientific evaluation is lacking, making the public vulnerable to fear of false-positive results. Moreover, current tissue sampling method from respiratory tract requires personal contact of medical staff with a potential asymptomatic SARS-COV-2 carrier and calls for safe and less invasive sampling method. Here, we have developed a convenient detection protocol for SARS-COV-2 based on a non-invasive saliva self-sampling method by extending our previous studies on development of a laboratory-safe and low-cost detection protocol based on qRT-PCR. We tested and compared various self-sampling methods of self-pharyngeal swab and self-saliva sampling from non-carrier volunteers. We found that the self-saliva sampling procedure gave expected negative results from all of the non-carrier volunteers within 2 hours, indicating cost-effectiveness, speed and reliability of the saliva-based method. For an automated assessment of the sampling quality and degree of positivity for COVID-19, we developed scalable formulae based on a logistic classification model using both cycle threshold and melting temperature from the qRT-PCR results. Our newly developed protocol will allow easy sampling and spatial-separation between patient and experimenter for guaranteed safety. Furthermore, our newly established risk assessment formula can be applied to a large-scale diagnosis in health institutions and agencies around the world. | - |
dc.language | English | - |
dc.publisher | KOREAN SOC BRAIN & NEURAL SCIENCE, KOREAN SOC NEURODEGENERATIVE DISEASE | - |
dc.title | Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment | - |
dc.type | Article | - |
dc.identifier.wosid | 000624637400002 | - |
dc.identifier.scopusid | 2-s2.0-85103294066 | - |
dc.type.rims | ART | - |
dc.citation.volume | 30 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 13 | - |
dc.citation.endingpage | 31 | - |
dc.citation.publicationname | EXPERIMENTAL NEUROBIOLOGY | - |
dc.identifier.doi | 10.5607/en20063 | - |
dc.identifier.kciid | ART002691106 | - |
dc.contributor.localauthor | Heo, Won Do | - |
dc.contributor.nonIdAuthor | Kazan, Hasan Huseyin | - |
dc.contributor.nonIdAuthor | Kwon, Jea | - |
dc.contributor.nonIdAuthor | Park, Myungsun | - |
dc.contributor.nonIdAuthor | Ergun, Mehmet Ali | - |
dc.contributor.nonIdAuthor | Ozcan, Sureyya | - |
dc.contributor.nonIdAuthor | Choi, Byung Yoon | - |
dc.contributor.nonIdAuthor | Lee, C. Justin | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Coronavirus | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | SARS-CoV-2 | - |
dc.subject.keywordAuthor | Saliva sampling | - |
dc.subject.keywordAuthor | COVID-19 risk assessment | - |
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