Diagnosis methods for COVID-19: a systematic review

Detalhes bibliográficos
Autor(a) principal: Maia, Renata
Data de Publicação: 2022
Outros Autores: Carvalho, Violeta Meneses, Faria, Bernardo, Miranda, Inês, Catarino, Susana, Teixeira, Senhorinha, Lima, Rui A., Minas, Graça, Ribeiro, J.E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/26259
Resumo: At the end of 2019, the coronavirus appeared and spread extremely rapidly, causing millions of infections and deaths worldwide, and becoming a global pandemic. For this reason, it became urgent and essential to find adequate tests for an accurate and fast diagnosis of this disease. In the present study, a systematic review was performed in order to provide an overview of the COVID-19 diagnosis methods and tests already available, as well as their evolution in recent months. For this purpose, the Science Direct, PubMed, and Scopus databases were used to collect the data and three authors independently screened the references, extracted the main information, and assessed the quality of the included studies. After the analysis of the collected data, 34 studies reporting new methods to diagnose COVID-19 were selected. Although RT-PCR is the gold-standard method for COVID-19 diagnosis, it cannot fulfill all the requirements of this pandemic, being limited by the need for highly specialized equipment and personnel to perform the assays, as well as the long time to get the test results. To fulfill the limitations of this method, other alternatives, including biological and imaging analysis methods, also became commonly reported. The comparison of the different diagnosis tests allowed to understand the importance and potential of combining different techniques, not only to improve diagnosis but also for a further understanding of the virus, the disease, and their implications in humans.
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spelling Diagnosis methods for COVID-19: a systematic reviewCOVID-19DiagnosisImage analysisPCRSARS-CoV-2At the end of 2019, the coronavirus appeared and spread extremely rapidly, causing millions of infections and deaths worldwide, and becoming a global pandemic. For this reason, it became urgent and essential to find adequate tests for an accurate and fast diagnosis of this disease. In the present study, a systematic review was performed in order to provide an overview of the COVID-19 diagnosis methods and tests already available, as well as their evolution in recent months. For this purpose, the Science Direct, PubMed, and Scopus databases were used to collect the data and three authors independently screened the references, extracted the main information, and assessed the quality of the included studies. After the analysis of the collected data, 34 studies reporting new methods to diagnose COVID-19 were selected. Although RT-PCR is the gold-standard method for COVID-19 diagnosis, it cannot fulfill all the requirements of this pandemic, being limited by the need for highly specialized equipment and personnel to perform the assays, as well as the long time to get the test results. To fulfill the limitations of this method, other alternatives, including biological and imaging analysis methods, also became commonly reported. The comparison of the different diagnosis tests allowed to understand the importance and potential of combining different techniques, not only to improve diagnosis but also for a further understanding of the virus, the disease, and their implications in humans.This work was supported by the i9Masks Verão com Ciência project (FCT), by the project NORTE-01-0145-FEDER-028178 funded by NORTE 2020 Portugal Regional Operational Program under PORTUGAL 2020 Partnership Agreement through the European Regional Development Fund and the Fundação para a Ciência e Tecnologia (FCT) and by the project PTDC/EEI-EEE/2846/2021, funded by national funds (OE), within the scope of the Scientific Research and Technological Development Projects (IC&DT) program in all scientific domains (PTDC), through the Foundation for Science and Technology, I.P. (FCT, I.P). The research was also supported by FCT with projects reference UIDB/04077/2020, UIDB/00532/2020, UIDB/00319/2020, UIDB/00690/2020, SusTEC (LA/P/0007/2020) and UIDB/04436/2020, by FEDER funds through the COMPETE 2020- Programa Operacional Competitividade e Internacionalização (POCI) with the reference project POCI-01-0145-FEDER-00694MDPIBiblioteca Digital do IPBMaia, RenataCarvalho, Violeta MenesesFaria, BernardoMiranda, InêsCatarino, SusanaTeixeira, SenhorinhaLima, Rui A.Minas, GraçaRibeiro, J.E.2023-01-04T09:47:46Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/26259engMaia, Renata; Carvalho, Violeta; Faria, Bernardo; Miranda, Inês; Catarino, Susana; Teixeira, Senhorinha; Lima, Rui; Minas, Graça; Ribeiro, J.E. (2022). Diagnosis methods for COVID-19: a systematic review. Micromachines. ISSN 2072-666X. 13:8, p. 1-172072-666X10.3390/mi13081349info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:58:34Zoai:bibliotecadigital.ipb.pt:10198/26259Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:16:44.076585Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Diagnosis methods for COVID-19: a systematic review
title Diagnosis methods for COVID-19: a systematic review
spellingShingle Diagnosis methods for COVID-19: a systematic review
Maia, Renata
COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
title_short Diagnosis methods for COVID-19: a systematic review
title_full Diagnosis methods for COVID-19: a systematic review
title_fullStr Diagnosis methods for COVID-19: a systematic review
title_full_unstemmed Diagnosis methods for COVID-19: a systematic review
title_sort Diagnosis methods for COVID-19: a systematic review
author Maia, Renata
author_facet Maia, Renata
Carvalho, Violeta Meneses
Faria, Bernardo
Miranda, Inês
Catarino, Susana
Teixeira, Senhorinha
Lima, Rui A.
Minas, Graça
Ribeiro, J.E.
author_role author
author2 Carvalho, Violeta Meneses
Faria, Bernardo
Miranda, Inês
Catarino, Susana
Teixeira, Senhorinha
Lima, Rui A.
Minas, Graça
Ribeiro, J.E.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Maia, Renata
Carvalho, Violeta Meneses
Faria, Bernardo
Miranda, Inês
Catarino, Susana
Teixeira, Senhorinha
Lima, Rui A.
Minas, Graça
Ribeiro, J.E.
dc.subject.por.fl_str_mv COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
topic COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
description At the end of 2019, the coronavirus appeared and spread extremely rapidly, causing millions of infections and deaths worldwide, and becoming a global pandemic. For this reason, it became urgent and essential to find adequate tests for an accurate and fast diagnosis of this disease. In the present study, a systematic review was performed in order to provide an overview of the COVID-19 diagnosis methods and tests already available, as well as their evolution in recent months. For this purpose, the Science Direct, PubMed, and Scopus databases were used to collect the data and three authors independently screened the references, extracted the main information, and assessed the quality of the included studies. After the analysis of the collected data, 34 studies reporting new methods to diagnose COVID-19 were selected. Although RT-PCR is the gold-standard method for COVID-19 diagnosis, it cannot fulfill all the requirements of this pandemic, being limited by the need for highly specialized equipment and personnel to perform the assays, as well as the long time to get the test results. To fulfill the limitations of this method, other alternatives, including biological and imaging analysis methods, also became commonly reported. The comparison of the different diagnosis tests allowed to understand the importance and potential of combining different techniques, not only to improve diagnosis but also for a further understanding of the virus, the disease, and their implications in humans.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-04T09:47:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/26259
url http://hdl.handle.net/10198/26259
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Maia, Renata; Carvalho, Violeta; Faria, Bernardo; Miranda, Inês; Catarino, Susana; Teixeira, Senhorinha; Lima, Rui; Minas, Graça; Ribeiro, J.E. (2022). Diagnosis methods for COVID-19: a systematic review. Micromachines. ISSN 2072-666X. 13:8, p. 1-17
2072-666X
10.3390/mi13081349
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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