Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Evaluation of sars Cov -2 variants among RT-PCR tested positive Covid-19 patients at our teriary care hospital in Telangana State, India

Bibliographic Data

ID15791601
AuthorsRamavath Usha Rani (SVS Medical College, corresponding author), Velagapalli Ramadevi (corresponding author), Qader Ahmed Jalily (Mediciti Institute of Medical Sciences, corresponding author), Dinesh Eshwar Mummareddi (corresponding author)
Year2022
Pages11763-11774
Publication date2022-07-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Health Sciences (JOURNAL)
Journal identifiersISSN: 2550-696X • E-ISSN: 2550-6978
PublisherUniversidad Tecnica de Manabi (PUBLISHER • EC)
DOI10.53730/ijhs.v6ns5.11062
OpenAlexW4295997497
LanguageEN

Background: The initial reports of coronavirus disease 2019 (COVID-19) came out with an outbreak in Wuhan, China on 30 December 2019 [1,2], SARS-CoV-2 has been spreading worldwide and, as of 15 July 2021, there have been 188.13 million confirmed infections and 4.06 million deaths [3]. New variants are thought to be responsible for re-infections, either after natural infection or after vaccination, as observed in Brazil and the United States, respectively. There is evidence that re-infections are already happening in India; a recent survey identified a re-infection proportion of 4.5% from a pool of 1,300 participants infected between January 2020 and October 2020. Another concern about the emergence of new variants is the potential failure of RT-PCR tests for diagnostics. Failure to target the gene encoding the spike protein was observed during detection of the 501Y.V1 variant in the UK2. Aim and Objectives of the study: The aim and objective of the current study are to identify the lineages and calculate the prevalence among our population. Methodology: The work was initiated following approvals from the Institutional Ethical Committee

2019-20 coronavirus outbreak · China · Coronavirus · Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Geography · Infectious disease (medical specialty · Outbreak · Pandemic · Population · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Vaccination · COVID-19 Clinical Research Studies · COVID-19 diagnosis using AI · Demography · Medicine · SARS-CoV-2 and COVID-19 Research · Internal Medicine · Virology

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae