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Diagnosis methods for COVID-19: a systematic review

2022Journal article Open access
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dc.contributor.authorMaia, Renata
dc.contributor.authorCarvalho, Violeta Meneses
dc.contributor.authorFaria, Bernardo
dc.contributor.authorMiranda, Inês
dc.contributor.authorCatarino, Susana
dc.contributor.authorTeixeira, Senhorinha F.C.F.
dc.contributor.authorLima, Rui A.
dc.contributor.authorMinas, Graça
dc.contributor.authorRibeiro, J.E.
dc.date.accessioned2023-01-04T09:47:46Z
dc.date.available2023-01-04T09:47:46Z
dc.date.issued2022
dc.description.abstractAt 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.pt_PT
dc.description.sponsorshipThis 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-00694pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMaia, 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. 1-17pt_PT
dc.identifier.doi10.3390/mi13081349pt_PT
dc.identifier.issn2072-666X
dc.identifier.urihttp://hdl.handle.net/10198/26259
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0007/2020pt_PT
dc.relationMultiplexed micro(bio)sensors array integrated into an organ-on-a-chip device for assessing cancer NANOtherapy
dc.relationMechanical Engineering and Resource Sustainability Center
dc.relationTransport Phenomena Research Center
dc.relationALGORITMI Research Center
dc.relationMountain Research Center
dc.relationMicroelectromechanical Systems Research Unit
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectDiagnosispt_PT
dc.subjectImage analysispt_PT
dc.subjectPCRpt_PT
dc.subjectSARS-CoV-2pt_PT
dc.titleDiagnosis methods for COVID-19: a systematic reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMultiplexed micro(bio)sensors array integrated into an organ-on-a-chip device for assessing cancer NANOtherapy
oaire.awardTitleMechanical Engineering and Resource Sustainability Center
oaire.awardTitleTransport Phenomena Research Center
oaire.awardTitleALGORITMI Research Center
oaire.awardTitleMountain Research Center
oaire.awardTitleMicroelectromechanical Systems Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-EEE%2F2846%2F2021/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04436%2F2020/PT
oaire.citation.issue8pt_PT
oaire.citation.startPage1349pt_PT
oaire.citation.titleMicromachinespt_PT
oaire.citation.volume13pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
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person.familyNameRibeiro
person.givenNameJ.E.
person.identifierR-000-6Y8
person.identifier.ciencia-id0F15-FB62-29DB
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person.identifier.ridG-3839-2018
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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