Demographic Profile of Patients Infected by SARS-CoV-2 in a Municipality in the Midwest Region of Brazil in the 2020 and 2021 Biennium
Daniela Infantina Martins Bernardes
Júlio Muller University Hospital of the Federal University of Mato Grosso, Rua Luis Philippe Pereira Leite, s/n – Alvorada, Cuiabá – MT, 78048-902, Brazil.
Francisco Kennedy Scofoni Faleiros de Azevedo
Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil.
Géssica Fernanda Colnago Lima
Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil.
Cor Jesus Fernandes Fontes
Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil.
Francisco José Dutra Souto
Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil.
Alessandra Carreira Rodrigues Gajardoni
Municipal Health Department of Várzea Grande, Brazil Av. da FEB, Várzea Grande – MT, 78115-904, Brazil.
Wagner Izidoro de Brito
Júlio Muller University Hospital of the Federal University of Mato Grosso, Rua Luis Philippe Pereira Leite, s/n – Alvorada, Cuiabá – MT, 78048-902, Brazil.
Emerson Soares dos Santos
Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil.
Ruberlei Godinho de Oliveira *
Júlio Muller University Hospital of the Federal University of Mato Grosso, Rua Luis Philippe Pereira Leite, s/n – Alvorada, Cuiabá – MT, 78048-902, Brazil, Federal University of Mato Grosso – Cuiabá (MT), Brazil, Rua Quarenta e Nove, 2367- Boa Esperança, Cuiabá-MT, 78060-900, Brazil and Municipal Health Department of Várzea Grande, Brazil Av. da FEB, Várzea Grande – MT, 78115-904, Brazil.
*Author to whom correspondence should be addressed.
Abstract
Aims: This study aimed to characterize the demographic profile of patients affected by coronavirus disease 2019 (COVID-19) treated in public health facilities in Várzea Grande, Mato Grosso, during the biennium, 2020–2021.
Methodology: This retrospective cross-sectional descriptive study was conducted in Várzea Grande, between April 2020 and December 2021, utilizing data from IndicaSUS. Parameters analyzed include age range, sex, race, region of residence, lethality, and clinical outcomes (recovered and decease). Data were processed using EpiData Entry v.3.1 and EpiData Analysis v.2.2 software. A 95% confidence interval, a significance level of P = .05, and Pearson goodness-of-fit test were utilized to evaluate the fit of the multivariate models.
Results: A higher prevalence of COVID-19 hospitalization was observed among females in 2020 (53.9%) and 2021 (53.8%). Hospitalization rates by sex and race were notably higher in Brown women in 2020 (61.3%) and 2021 (65.8%), as well as in Brown men in 2020 (62.4%) and 2021 (65.1%). The West region exhibited the highest lethality rate in 2020 (3.8%) while the North and Center regions showed the highest lethality rates in 2021 (1.2%). By age group, lethality was significantly higher among individuals over 65 years old in both 2020 (21.4%) and 2021 (14.3% P = .000).
Conclusion: This study characterized the demographic profile of the population affected by COVID-19 in Várzea Grande. The findings indicate that public health managers should implement target policies and actions to support this population, which experiences a high mortality rate and significant socioeconomic vulnerability.
Keywords: COVID-19, SARS-CoV-2, social vulnerability, demography, race factors, Post-Acute COVID-19 Syndrome