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Detection of Corona Virus: A Review on Applications of RT-PCR in Detection of Corona Virus (Covid-19)

Authors: S. Agrawal*, B. Potdar, J. Shaikh, K. Pimpale, L. Kochage, N. Chougule;

Detection of Corona Virus: A Review on Applications of RT-PCR in Detection of Corona Virus (Covid-19)

Abstract

Reverse transcription polymerase chain reaction (RT-PCR) has emerged as the cornerstone of diagnostic efforts in the detection of corona viruses, particularly the formidable SARS-CoV-2 responsible for the COVID-19 pandemic. This review article provides a comprehensive overview of the diverse applications of RT-PCR in corona virus detection. The sensitivity and specificity of RT-PCR render it indispensable in early-stage diagnosis, enabling prompt isolation and treatment of infected individuals. Moreover, RT-PCR's ability to quantitatively analyze viral load allows for dynamic tracking of infection progression and the evaluation of therapeutic interventions. In addition to its clinical utility, RT-PCR plays a pivotal role in population-wide screening and surveillance programs, offering crucial insights for public health interventions. The adaptability of RT-PCR to detect specific genetic markers associated with viral variants is paramount in monitoring viral evolution and understanding its spread. Furthermore, this review highlights the pivotal role of RT-PCR in the development and evaluation of vaccines and antiviral drugs, providing invaluable data for vaccine efficacy studies and immune response assessments.

Keywords

Corona Virus, RT-PCR technique, Covid-19, Vaccines, Antibodies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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