Diagnosis methods for COVID-19: A systematic review

Detalhes bibliográficos
Autor(a) principal: Maia, Renata Patrícia Faria
Data de Publicação: 2022
Outros Autores: Carvalho, Violeta Meneses, Faria, Bernardo Almeida Leite, Miranda, Inês Sofia Ferreira, Catarino, Susana Oliveira, Teixeira, S. F. C. F., Lima, Rui Alberto Madeira Macedo, Minas, Graça, Ribeiro, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/80226
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-2Ciências Médicas::Biotecnologia MédicaScience & TechnologySaúde de qualidadeAt 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 Verao com Ciencia 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 Fundacao para a Ciencia e Tecnologia (FCT) and by the project PTDC/EEIEEE/2846/2021, funded by national funds (OE), within the scope of the Scientific Research and Technological Development Projects (IC&DT) programin 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 2020Programa Operacional Competitividade e Internacionalizacao (POCI) with the reference project POCI-01-0145-FEDER-006941.MDPIUniversidade do MinhoMaia, Renata Patrícia FariaCarvalho, Violeta MenesesFaria, Bernardo Almeida LeiteMiranda, Inês Sofia FerreiraCatarino, Susana OliveiraTeixeira, S. F. C. F.Lima, Rui Alberto Madeira MacedoMinas, GraçaRibeiro, João2022-08-192022-08-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80226engMaia, R.; Carvalho, V.; Faria, B.; Miranda, I.; Catarino, S.; Teixeira, S.; Lima, R.; Minas, G.; Ribeiro, J. Diagnosis methods for COVID-19: A systematic review. Micromachines 2022, 13, 1349. https://doi.org/10.3390/mi1308134910.3390/mi130813491349https://www.mdpi.com/2072-666X/13/8/1349info: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:RCAAP2023-07-21T12:43:11Zoai:repositorium.sdum.uminho.pt:1822/80226Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:40:36.754397Repositório 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 Patrícia Faria
COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
Ciências Médicas::Biotecnologia Médica
Science & Technology
Saúde de qualidade
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 Patrícia Faria
author_facet Maia, Renata Patrícia Faria
Carvalho, Violeta Meneses
Faria, Bernardo Almeida Leite
Miranda, Inês Sofia Ferreira
Catarino, Susana Oliveira
Teixeira, S. F. C. F.
Lima, Rui Alberto Madeira Macedo
Minas, Graça
Ribeiro, João
author_role author
author2 Carvalho, Violeta Meneses
Faria, Bernardo Almeida Leite
Miranda, Inês Sofia Ferreira
Catarino, Susana Oliveira
Teixeira, S. F. C. F.
Lima, Rui Alberto Madeira Macedo
Minas, Graça
Ribeiro, João
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Maia, Renata Patrícia Faria
Carvalho, Violeta Meneses
Faria, Bernardo Almeida Leite
Miranda, Inês Sofia Ferreira
Catarino, Susana Oliveira
Teixeira, S. F. C. F.
Lima, Rui Alberto Madeira Macedo
Minas, Graça
Ribeiro, João
dc.subject.por.fl_str_mv COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
Ciências Médicas::Biotecnologia Médica
Science & Technology
Saúde de qualidade
topic COVID-19
Diagnosis
Image analysis
PCR
SARS-CoV-2
Ciências Médicas::Biotecnologia Médica
Science & Technology
Saúde de qualidade
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 2022-08-19
2022-08-19T00:00:00Z
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 https://hdl.handle.net/1822/80226
url https://hdl.handle.net/1822/80226
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Maia, R.; Carvalho, V.; Faria, B.; Miranda, I.; Catarino, S.; Teixeira, S.; Lima, R.; Minas, G.; Ribeiro, J. Diagnosis methods for COVID-19: A systematic review. Micromachines 2022, 13, 1349. https://doi.org/10.3390/mi13081349
10.3390/mi13081349
1349
https://www.mdpi.com/2072-666X/13/8/1349
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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