Diagnosis methods for COVID-19: a systematic review
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
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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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 |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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