COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods

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dc.contributor.authorAruleba, Raphael Taiwo
dc.contributor.authorAdekiya, Tayo Alex
dc.contributor.authorAyawei, Nimibofa
dc.contributor.authorObaido, George
dc.contributor.authorAruleba, Kehinde
dc.contributor.authorMienye, Ibomoiye Domor
dc.contributor.authorAruleba, Idowu
dc.contributor.authorOgbuokiri, Blessing
dc.date.accessioned2022-04-23T10:42:07Z
dc.date.available2022-04-23T10:42:07Z
dc.date.issued2022-04-03
dc.date.updated2022-04-21T21:03:45Z
dc.description.abstractAs of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused 5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to artificial intelligence, have been used for its detection, diagnosis, and surveillance. Meanwhile, fast and efficient point-of-care (POC) testing and self-testing kits have become necessary in the fight against COVID-19 and to assist healthcare personnel and governments curb the spread of the virus. This paper presents a review of the various types of COVID-19 detection methods, diagnostic technologies, and surveillance approaches that have been used or proposed. The review provided in this article should be beneficial to researchers in this field and health policymakers at large.
dc.identifierdoi: 10.3390/bioengineering9040153
dc.identifier.apacitationAruleba, R. T., Adekiya, T. A., Ayawei, N., Obaido, G., Aruleba, K., Mienye, I. D., ... Ogbuokiri, B. (2022). COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods. http://hdl.handle.net/11427/36382en_ZA
dc.identifier.chicagocitationAruleba, Raphael Taiwo, Tayo Alex Adekiya, Nimibofa Ayawei, George Obaido, Kehinde Aruleba, Ibomoiye Domor Mienye, Idowu Aruleba, and Blessing Ogbuokiri "COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods." (2022) http://hdl.handle.net/11427/36382en_ZA
dc.identifier.citationAruleba, R.T., Adekiya, T.A., Ayawei, N., Obaido, G., Aruleba, K., Mienye, I.D., Aruleba, I. & Ogbuokiri, B. et al. 2022. COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods. http://hdl.handle.net/11427/36382en_ZA
dc.identifier.ris TY - Journal Article AU - Aruleba, Raphael Taiwo AU - Adekiya, Tayo Alex AU - Ayawei, Nimibofa AU - Obaido, George AU - Aruleba, Kehinde AU - Mienye, Ibomoiye Domor AU - Aruleba, Idowu AU - Ogbuokiri, Blessing AB - As of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused 5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to artificial intelligence, have been used for its detection, diagnosis, and surveillance. Meanwhile, fast and efficient point-of-care (POC) testing and self-testing kits have become necessary in the fight against COVID-19 and to assist healthcare personnel and governments curb the spread of the virus. This paper presents a review of the various types of COVID-19 detection methods, diagnostic technologies, and surveillance approaches that have been used or proposed. The review provided in this article should be beneficial to researchers in this field and health policymakers at large. DA - 2022-04-03 DB - OpenUCT DP - University of Cape Town KW - COVID-19 KW - SARS-CoV-2 KW - artificial intelligence KW - machine learning KW - deep learning KW - molecular diagnosis LK - https://open.uct.ac.za PY - 2022 T1 - COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods TI - COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods UR - http://hdl.handle.net/11427/36382 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/36382
dc.identifier.vancouvercitationAruleba RT, Adekiya TA, Ayawei N, Obaido G, Aruleba K, Mienye ID, et al. COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods. 2022; http://hdl.handle.net/11427/36382.en_ZA
dc.publisherMultidisciplinary Digital Publishing Institute
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.subjectartificial intelligence
dc.subjectmachine learning
dc.subjectdeep learning
dc.subjectmolecular diagnosis
dc.titleCOVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods
dc.typeJournal Article
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