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Clinical characteristics and variables associated with COVID-19 morbidity and mortality in Luanda, Angola, in the first year of the pandemic

2023-12Journal article Open access
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dc.contributor.authorArrais, Margarete
dc.contributor.authorDias, Welwitschia
dc.contributor.authorSilva, Maura
dc.contributor.authorNeto, Luquenia
dc.contributor.authorPedro, Naiol
dc.contributor.authorJungo, Sónia
dc.contributor.authorMiguel, Avelina
dc.contributor.authorFortes-Gabriel, Elsa
dc.contributor.authorSebastião, Cruz
dc.contributor.authorGama, Jorge
dc.contributor.authorBrito, Miguel
dc.date.accessioned2024-01-23T09:59:44Z
dc.date.available2024-01-23T09:59:44Z
dc.date.issued2023-12
dc.description.abstractBackground: The impact of SARS-CoV-2 infection in Africa is still unclear. In comparison to Europe and North America, morbidity and death rates are lower. Several factors have been proposed, including geographical variation in virus impact, environmental factors, differences in age distribution, and the impact of infectious diseases such as malaria, HIV infection, and tuberculosis. Objectives: We investigated the clinical characteristics and putative determinants linked with COVID-19 in Angolan patients. Methods: Cross-sectional study undertaken at Military Hospital, Luanda, from March 2020 to March 2021. The survey collected sociodemographic and clinical information. Results: The sample included 1,683 patients aged ≥18 years, 64% men, with a mean age of 46.3 years. SARS-CoV-2 was positive in 39% of the cases with RT-PCR. Patients ≥46 years with a level of education of ≥12 years had a considerably higher likelihood of testing positive. About 58% of positive patients had at least one comorbidity, of which hypertension and Diabetes were associated with SARS-CoV-2 infection. HIV and pulmonary TB were putative protective factors. About 14% of positive patients died. Most deaths occurred in patients ≥46 years old, with less education and unemployment. Working as a healthcare practitioner was linked to a protective effect. Malignant diseases were the most common comorbidities associated with death. Conclusions: We identified putative factors related to SARS-CoV-2 infection and mortality. HIV and TB were protective and not associated with mortality. Further study with a broader scope should be conducted to explain the main features related to COVID-19 mortality in Angola.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationArrais M, Dias W, Silva M, Neto L, Pedro N, Brito M, et al. Clinical characteristics and variables associated with COVID-19 morbidity and mortality in Luanda, Angola, in the first year of the pandemic. Afr Health Sci. 2023;23(4):51-63.pt_PT
dc.identifier.doi10.4314/ahs.v23i4.9pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/16963
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://www.ajol.info/index.php/ahs/article/view/261311pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectMorbiditypt_PT
dc.subjectMortalitypt_PT
dc.subjectVariables associatedpt_PT
dc.subjectAngolapt_PT
dc.subjectLuandapt_PT
dc.titleClinical characteristics and variables associated with COVID-19 morbidity and mortality in Luanda, Angola, in the first year of the pandemicpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage63pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage51pt_PT
oaire.citation.titleAfrican Health Sciencespt_PT
oaire.citation.volume23pt_PT
person.familyNameBrito
person.givenNameMiguel
person.identifier.ciencia-id231F-F341-7E93
person.identifier.orcid0000-0001-6394-658X
person.identifier.ridA-7970-2016
person.identifier.scopus-author-id35224551000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4252d8e0-800c-4d67-8b13-0b711d860669
relation.isAuthorOfPublication.latestForDiscovery4252d8e0-800c-4d67-8b13-0b711d860669

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