Cargando…

Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)

The 2nd phase of COVID-19 infection outbreak experienced worldwide is an attestation to the decline in the efficiency of COVID-19 detection kits available worldwide. rRT-PCR still remains the best confirmatory test for COVID-19 infection. Sadly, most medical professionals are not conversant with the...

Descripción completa

Detalles Bibliográficos
Autor principal: Etaware, Peter Mudiaga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595498/
https://www.ncbi.nlm.nih.gov/pubmed/34804189
http://dx.doi.org/10.1016/j.bspc.2021.103337
_version_ 1784600208778199040
author Etaware, Peter Mudiaga
author_facet Etaware, Peter Mudiaga
author_sort Etaware, Peter Mudiaga
collection PubMed
description The 2nd phase of COVID-19 infection outbreak experienced worldwide is an attestation to the decline in the efficiency of COVID-19 detection kits available worldwide. rRT-PCR still remains the best confirmatory test for COVID-19 infection. Sadly, most medical professionals are not conversant with the rRT-PCR protocols. Therefore, more easy-to-use alternatives are required as backup, to compensate for these lapses. “Etaware-CDT-2020” is a virtual system designed for early detection of COVID-19 infection. A comparative COVID-19 diagnosis was conducted using Etaware-CDT-2020, corroborated by rRT-PCR-confirmed COVID-19 results obtained from China (Latitude 35.8617(o)N and Longitude 104.1954(o)E), which was the epicentre for COVID-19 infection outbreak. A cross-comparison of results showed that there was a positive correlation between the output result from Etaware-CDT-2020 and rRT-PCR diagnosis from Wuhan (r = 0.92) and Hubei (r = 0.97). Furthermore, there was no significant difference between the diagnostic results of “Etaware-CDT-2020” and rRT-PCR, when compared by T-test (P(t = 0) > 0.05) and Pearson’s Chi-Square test (0.04 ≥ P ≤ 0.12). Etaware-CDT-2020 is unique and can be used anywhere, anytime and by anyone. It is accessible, affordable, easy to install, simple to understand and user friendly.
format Online
Article
Text
id pubmed-8595498
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-85954982021-11-17 Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data) Etaware, Peter Mudiaga Biomed Signal Process Control Article The 2nd phase of COVID-19 infection outbreak experienced worldwide is an attestation to the decline in the efficiency of COVID-19 detection kits available worldwide. rRT-PCR still remains the best confirmatory test for COVID-19 infection. Sadly, most medical professionals are not conversant with the rRT-PCR protocols. Therefore, more easy-to-use alternatives are required as backup, to compensate for these lapses. “Etaware-CDT-2020” is a virtual system designed for early detection of COVID-19 infection. A comparative COVID-19 diagnosis was conducted using Etaware-CDT-2020, corroborated by rRT-PCR-confirmed COVID-19 results obtained from China (Latitude 35.8617(o)N and Longitude 104.1954(o)E), which was the epicentre for COVID-19 infection outbreak. A cross-comparison of results showed that there was a positive correlation between the output result from Etaware-CDT-2020 and rRT-PCR diagnosis from Wuhan (r = 0.92) and Hubei (r = 0.97). Furthermore, there was no significant difference between the diagnostic results of “Etaware-CDT-2020” and rRT-PCR, when compared by T-test (P(t = 0) > 0.05) and Pearson’s Chi-Square test (0.04 ≥ P ≤ 0.12). Etaware-CDT-2020 is unique and can be used anywhere, anytime and by anyone. It is accessible, affordable, easy to install, simple to understand and user friendly. Elsevier Ltd. 2022-03 2021-11-17 /pmc/articles/PMC8595498/ /pubmed/34804189 http://dx.doi.org/10.1016/j.bspc.2021.103337 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Etaware, Peter Mudiaga
Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title_full Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title_fullStr Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title_full_unstemmed Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title_short Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data)
title_sort virtual system for early detection of covid-19 infection “etaware-cdt-2020 prototype design” (corroborated by rrt-pcr data)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595498/
https://www.ncbi.nlm.nih.gov/pubmed/34804189
http://dx.doi.org/10.1016/j.bspc.2021.103337
work_keys_str_mv AT etawarepetermudiaga virtualsystemforearlydetectionofcovid19infectionetawarecdt2020prototypedesigncorroboratedbyrrtpcrdata