• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Int J Epidemiol . History of self-reported COVID-19 cases and hospitalizations in the Brazilian population: a countrywide survey

tetano

Editor, Senior Moderator
Int J Epidemiol


. 2026 Jan 1;55(Supplement_1):i1-i12.
doi: 10.1093/ije/dyaf153. History of self-reported COVID-19 cases and hospitalizations in the Brazilian population: a countrywide survey

Cleber Vinicius Brito Dos Santos[SUP] 1 2 [/SUP], Lara Esteves Coelho[SUP] 3 [/SUP], Paula Mendes Luz[SUP] 3 [/SUP], Guilherme Tegoni Goedert[SUP] 4 [/SUP], Daniel Csillag[SUP] 4 [/SUP], Juliano Gennari[SUP] 4 [/SUP], Otávio Amaral de Andrade Leão[SUP] 5 [/SUP], Cauane Blumenberg[SUP] 6 7 [/SUP], Fernando Vinholes Siqueira[SUP] 8 [/SUP], Dalva Maria de Assis[SUP] 9 10 [/SUP], Aline Maria de Souza da Silva[SUP] 11 [/SUP], Greice Madeleine Ikeda do Carmo[SUP] 12 [/SUP], Fernando Celso Barros[SUP] 13 [/SUP], Claudio José Struchiner[SUP] 2 4 [/SUP], Cesar Gomes Victora[SUP] 7 14 [/SUP], Pedro Curi Hallal[SUP] 5 [/SUP]



Affiliations
Abstract

Background: Population-based data on COVID-19's impact are essential for informing public health policies, particularly in low- and middle-income countries. Here, we investigated the history of COVID-19 diagnoses across the Brazilian population, considering factors such as sex, age, skin colour/ethnicity, comorbidity, schooling, and socioeconomic level.
Methods: In this nationwide study, EPICOVID 2.0, we surveyed 133 cities in all Brazilian states between March and June 2024. We randomly selected 250 households per city and one individual from each household. Crude and adjusted prevalence ratios were calculated to examine the association between covariates and self-reports of prior COVID-19 diagnoses and hospitalizations, and odds ratios to assess the factors associated with the higher number of COVID-19 episodes.
Results: Our analysis of 33 250 individuals revealed that 28.6% [95% confidence interval (CI), 27.3-29.9] of the study population had a previous COVID-19 diagnosis, with most of those reported presenting one episode (77.7%), followed by two (17.3%) and three episodes (5.0%). We observed a positive association between higher educational attainment and wealth quintiles and self-reported COVID-19 diagnoses. We also found that women presented a higher COVID-19 prevalence. About 4.5% (95% CI, 3.8-5.2) of participants who reported previous COVID-19 were hospitalized, with an average length of stay of 10.4 days. We did not find a difference in the prevalence of hospitalizations between socioeconomic strata. We observed that those who experienced two or more COVID-19 episodes had three times higher odds of being hospitalized.
Conclusion: These findings highlight significant disparities in the COVID-19 impact across socioeconomic and demographic groups in Brazil, underscoring the need for targeted public health interventions to address vulnerabilities and reduce the COVID-19 burden in Brazil.

Keywords: Brazil; SARS-CoV-2; coronavirus; epidemiology; inequality; questionnaire; social inequity; survey.

 
Back
Top Bottom