Molecular diagnosis of covid-19 through application of highly sensitive and specific reverse transcriptase AllplexTM 2019-nCoV RT- PCR assay validated with clinical specimens


Original Article

Author Details : A Renuka Devi, R Hymavathi*, Guru Prasad Manderwad, A Praveen Kumar

Volume : 7, Issue : 4, Year : 2020

Article Page : 347-349

https://doi.org/10.18231/j.ijmr.2020.062



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Abstract

Introduction: COVID-19 is a pandemic caused by the SARS-CoV-2, and it is now playing havoc to the life of several people and has been big impact and blow to the world economy. Early detection of the symptomatic and asymptomatic patients having COVID-19 through application of Real-time PCR helps in preventing the spread of the virus.
Aim: In the present pilot study for the month of June 2020, we evaluated the application of RT-PCR in detection of SARS-CoV-2.
Materials and Methods: A total of 49,033 nasopharyngeal swabs were collected comprising 29, 685 at the individual level and 19,348 pooled samples and evaluated using AllplexTM 2019-nCoV Assay for detection of COVID-19.
Results: A total of 1364 cases (2.7%) were detected positive for the SARS-CoV-2 RNA and the remaining samples of total 47,441 were negative for the above mentioned virus.
Discussion: The pilot study analysis of detection of COVID-19 using AllplexTM 2019-nCoV Assay is very useful in detecting the suspected COVID-19 cases at the earliest and helps in preventing the spread of the infection.

Keywords: SARS-CoV, RT-PCR, Nasopharyngeal swabs.


How to cite : Devi A R, Hymavathi R , Manderwad G P , Kumar A P, Molecular diagnosis of covid-19 through application of highly sensitive and specific reverse transcriptase AllplexTM 2019-nCoV RT- PCR assay validated with clinical specimens. Indian J Microbiol Res 2020;7(4):347-349


Copyright © 2020 by author(s) and Indian J Microbiol Res. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org)



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https://doi.org/10.18231/j.ijmr.2020.062


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