Publicação:
Area-level inequalities in Covid-19 outcomes in Brazil in 2020 and 2021: An analysis of 1,894,165 severe Covid-19 cases

dc.contributor.authorBoing, Antonio Fernando
dc.contributor.authorBoing, Alexandra Crispim
dc.contributor.authorVeras, Maria Amélia
dc.contributor.authorde Lacerda, Josimari Telino
dc.contributor.authorda Silva, Rafael Lopes Paixão
dc.contributor.authorBarbato, Paulo Roberto
dc.contributor.authorFabrin, Caroline
dc.contributor.authorSubramanian, S. V.
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.contributor.institutionFaculdade de Ciências Médicas da Santa Casa de São Paulo
dc.contributor.institutionUniversidade do Estado de São Paulo
dc.contributor.institutionUniversidade Federal da Fronteira Sul
dc.contributor.institutionHarvard University
dc.date.accessioned2023-07-29T13:59:15Z
dc.date.available2023-07-29T13:59:15Z
dc.date.issued2022-11-01
dc.description.abstractThe study aims to analyze inequalities in Covid-19 outcomes in Brazil in 2020/2021 according to the per capita Gross Domestic Product (pcGDP) of municipalities. All cases of Severe Acute Respiratory Syndrome (SARS) who were hospitalized or died, regardless of hospitalization, registered in Brazil in 2020 and 2021 were analyzed (n = 2,902,742), including those with a confirmed diagnosis of Covid-19 (n = 1,894,165). We calculated lethality due to Covid-19, the performance of diagnostic tests among patients with SARS, and the hospital care received by those with Covid-19 according to the pcGDP of the patients' municipalities of residence. Data were analyzed for each epidemiological week and the risk of each outcome was estimated using Poisson regression. Municipalities in the lowest pcGDP decile had (i) 30% (95%CI 28%–32%) higher lethality from Covid-19, (ii) three times higher proportion of patients with SARS without the collection of biological material for the diagnosis of Covid-19, (iii) 16% (95%CI 15%–16%) higher proportion of SARS patients testing in a period longer than two days from the onset of symptoms, (iv) 140% (95%CI 134%–145%) higher absence of CT scan use. There is deep socioeconomic inequality among Brazilian municipalities regarding the occurrence of Covid-19 negative outcomes.en
dc.description.affiliationPrograma de Pós-graduação em Saúde Coletiva Universidade Federal de Santa Catarina, SC
dc.description.affiliationFaculdade de Ciências Médicas da Santa Casa de São Paulo, SP
dc.description.affiliationInstituto de Física Teórica Universidade do Estado de São Paulo, SP
dc.description.affiliationUniversidade Federal da Fronteira Sul, Campus Chapecó, SC
dc.description.affiliationHarvard Center for Population & Development Studies Harvard University
dc.identifierhttp://dx.doi.org/10.1016/j.ypmed.2022.107298
dc.identifier.citationPreventive Medicine, v. 164.
dc.identifier.doi10.1016/j.ypmed.2022.107298
dc.identifier.issn1096-0260
dc.identifier.issn0091-7435
dc.identifier.scopus2-s2.0-85139725242
dc.identifier.urihttp://hdl.handle.net/11449/248985
dc.language.isoeng
dc.relation.ispartofPreventive Medicine
dc.sourceScopus
dc.subjectCOVID-19
dc.subjectEpidemiology
dc.subjectInequalities in health
dc.titleArea-level inequalities in Covid-19 outcomes in Brazil in 2020 and 2021: An analysis of 1,894,165 severe Covid-19 casesen
dc.typeArtigo
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Física Teórica (IFT), São Paulopt

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