Evidence map›Paper›PMID 36220401›Full record

ArticlePreventive medicine2022

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

Antonio Fernando Boing, Alexandra Crispim Boing, Maria Amélia Veras, Josimari Telino de Lacerda, Rafael Lopes Paixão da Silva, Paulo Roberto Barbato, Caroline Fabrin, S V Subramanian

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Intrastate inequality of COVID-19 vaccination coverage: spatial analysis and socioeconomic, Santa Catarina, 2021-2023.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article
  4. Observational
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

8 authors.

Antonio Fernando BoingPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil. Electronic address: antonio.boing@ufsc.br.
Alexandra Crispim BoingPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
Maria Amélia VerasFaculdade de Ciências Médicas da Santa Casa de São Paulo, SP, Brazil.
Josimari Telino de LacerdaPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
Rafael Lopes Paixão da SilvaInstituto de Física Teórica, Universidade do Estado de São Paulo, SP, Brazil.
Paulo Roberto BarbatoUniversidade Federal da Fronteira Sul, Campus Chapecó, SC, Brazil.
Caroline FabrinPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, SC, Brazil.
S V SubramanianHarvard Center for Population & Development Studies, Harvard University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19BrazilHospitalizationHumansSARS-CoV-2COVID-19EpidemiologyInequalities in health

Identifiers

PMID36220401
PMCPMC9547655

What Socratic holds

Textmetadata
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.