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.author | Boing, Antonio Fernando | |
dc.contributor.author | Boing, Alexandra Crispim | |
dc.contributor.author | Veras, Maria Amélia | |
dc.contributor.author | de Lacerda, Josimari Telino | |
dc.contributor.author | da Silva, Rafael Lopes Paixão | |
dc.contributor.author | Barbato, Paulo Roberto | |
dc.contributor.author | Fabrin, Caroline | |
dc.contributor.author | Subramanian, S. V. | |
dc.contributor.institution | Universidade Federal de Santa Catarina (UFSC) | |
dc.contributor.institution | Faculdade de Ciências Médicas da Santa Casa de São Paulo | |
dc.contributor.institution | Universidade do Estado de São Paulo | |
dc.contributor.institution | Universidade Federal da Fronteira Sul | |
dc.contributor.institution | Harvard University | |
dc.date.accessioned | 2023-07-29T13:59:15Z | |
dc.date.available | 2023-07-29T13:59:15Z | |
dc.date.issued | 2022-11-01 | |
dc.description.abstract | The 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.affiliation | Programa de Pós-graduação em Saúde Coletiva Universidade Federal de Santa Catarina, SC | |
dc.description.affiliation | Faculdade de Ciências Médicas da Santa Casa de São Paulo, SP | |
dc.description.affiliation | Instituto de Física Teórica Universidade do Estado de São Paulo, SP | |
dc.description.affiliation | Universidade Federal da Fronteira Sul, Campus Chapecó, SC | |
dc.description.affiliation | Harvard Center for Population & Development Studies Harvard University | |
dc.identifier | http://dx.doi.org/10.1016/j.ypmed.2022.107298 | |
dc.identifier.citation | Preventive Medicine, v. 164. | |
dc.identifier.doi | 10.1016/j.ypmed.2022.107298 | |
dc.identifier.issn | 1096-0260 | |
dc.identifier.issn | 0091-7435 | |
dc.identifier.scopus | 2-s2.0-85139725242 | |
dc.identifier.uri | http://hdl.handle.net/11449/248985 | |
dc.language.iso | eng | |
dc.relation.ispartof | Preventive Medicine | |
dc.source | Scopus | |
dc.subject | COVID-19 | |
dc.subject | Epidemiology | |
dc.subject | Inequalities in health | |
dc.title | Area-level inequalities in Covid-19 outcomes in Brazil in 2020 and 2021: An analysis of 1,894,165 severe Covid-19 cases | en |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Física Teórica (IFT), São Paulo | pt |