Evidence map›Paper›PMID 41408845›Full record

ArticleInternational journal of epidemiology2026

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

Cleber Vinicius Brito Dos Santos, Lara Esteves Coelho, Paula Mendes Luz, Guilherme Tegoni Goedert, Daniel Csillag, Juliano Gennari, Otávio Amaral de Andrade Leão, Cauane Blumenberg, Fernando Vinholes Siqueira, Dalva Maria de Assis and 6 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. COVID-19: lessons from Brazil.International journal of epidemiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Impact of the COVID-19 pandemic on the health situation of the Brazilian population.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Cleber Vinicius Brito Dos SantosDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0001-5710-2866
Lara Esteves CoelhoInstituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Paula Mendes LuzInstituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Guilherme Tegoni GoedertEscola de Matemática Aplicada, Fundação Getúlio Vargas (FGV), Rio de Janeiro, Brazil.
Daniel CsillagEscola de Matemática Aplicada, Fundação Getúlio Vargas (FGV), Rio de Janeiro, Brazil.
Juliano GennariEscola de Matemática Aplicada, Fundação Getúlio Vargas (FGV), Rio de Janeiro, Brazil.
Otávio Amaral de Andrade LeãoDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Cauane BlumenbergCausale consultoria, Pelotas, Rio Grande do Sul, Brazil.ORCID 0000-0002-4580-3849
Fernando Vinholes SiqueiraEscola Superior de Educação Física e Fisioterapia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Dalva Maria de AssisDepartment of Health Surveillance, Brazilian Ministry of Health, Brasília, Distrito Federal, Brazil.
Aline Maria de Souza da SilvaBrazilian Ministry of Health, Brasília, Distrito Federal, Brazil.
Greice Madeleine Ikeda do CarmoDepartment of the National Immunization Program, Health and Environmental Surveillance Secretariat, Brazilian Ministry of Health, Brasília, Brazil.
Fernando Celso BarrosPrograma de Pós-graduação em Saúde no Ciclo Vital, Universidade Católica de Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Claudio José StruchinerDepartamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Cesar Gomes VictoraPrograma de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil.ORCID 0000-0002-2465-2180
Pedro Curi HallalDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.

Funding

Brazilian Ministry of Health 25/2023
6 · The paper itself

Abstract

backgroundPopulation-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.

methodsIn 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.

resultsOur 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.

conclusionThese 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.

Indexed as

COVID-19HospitalizationAdolescentAdultAgedBrazilFemaleHumansMaleMiddle AgedPrevalenceSARS-CoV-2Self ReportSocioeconomic FactorsYoung AdultBrazilcoronavirusepidemiologyinequalityquestionnaireSARS-CoV-2social inequitysurvey

Identifiers

PMID41408845
PMCPMC12805830

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.