Evidence map›Paper›PMID 36378655›Full record

ArticlePloS one2022

Association of urban inequality and income segregation with COVID-19 mortality in Brazil.

J Firmino de Sousa Filho, Uriel M Silva, Larissa L Lima, Aureliano S S Paiva, Gervásio F Santos, Roberto F S Andrade, Nelson Gouveia, Ismael H Silveira, Amélia A de Lima Friche, Maurício L Barreto and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Review
  9. Article
  10. Article
  11. COVID-19 mortality in Brazil, 2020-21: consequences of the pandemic inadequate management.Archives of public health = Archives belges de sante publique · 2022
    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

11 authors at 3 institutions in 1 country.

J Firmino de Sousa FilhoCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.ORCID 0000-0001-5057-385X
Uriel M SilvaObservatory for Urban Health in Belo Horizonte (OSUBH)-Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.ORCID 0000-0001-7640-2530
Larissa L LimaObservatory for Urban Health in Belo Horizonte (OSUBH)-Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.ORCID 0000-0003-2535-828X
Aureliano S S PaivaCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.
Gervásio F SantosCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.
Roberto F S AndradeCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.
Nelson GouveiaUniversity of São Paulo Medical School, São Paulo, Brazil.
Ismael H SilveiraCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.ORCID 0000-0003-4793-3492
Amélia A de Lima FricheObservatory for Urban Health in Belo Horizonte (OSUBH)-Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Maurício L BarretoCenter of Data and Knowledge Integration for Health (CIDACS), Salvador, Brazil.ORCID 0000-0002-0215-4930
Waleska Teixeira CaiaffaObservatory for Urban Health in Belo Horizonte (OSUBH)-Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Universidade Federal da Bahia · BRUniversidade Federal de Minas Gerais · BRUniversidade de São Paulo · BR

Funding

Wellcome Trust 205177Wellcome Trust 205177/Z/16/Z
6 · The paper itself

Abstract

Socioeconomic factors have exacerbated the impact of COVID-19 worldwide. Brazil, already marked by significant economic inequalities, is one of the most affected countries, with one of the highest mortality rates. Understanding how inequality and income segregation contribute to excess mortality by COVID-19 in Brazilian cities is essential for designing public health policies to mitigate the impact of the disease. This paper aims to fill in this gap by analyzing the effect of income inequality and income segregation on COVID-19 mortality in large urban centers in Brazil. We compiled weekly COVID-19 mortality rates from March 2020 to February 2021 in a longitudinal ecological design, aggregating data at the city level for 152 Brazilian cities. Mortality rates from COVID-19 were compared across weeks, cities and states using mixed linear models. We estimated the associations between COVID-19 mortality rates with income inequality and income segregation using mixed negative binomial models including city and week-level random intercepts. We measured income inequality using the Gini index and income segregation using the dissimilarity index using data from the 2010 Brazilian demographic census. We found that 88.2% of COVID-19 mortality rates variability was between weeks, 8.5% between cities, and 3.3% between states. Higher-income inequality and higher-income segregation values were associated with higher COVID-19 mortality rates before and after accounting for all adjustment factors. In our main adjusted model, rate ratios (RR) per 1 SD increases in income inequality and income segregation were associated with 17% (95% CI 9% to 26%) and 11% (95% CI 4% to 19%) higher mortality. Income inequality and income segregation are long-standing hallmarks of large Brazilian cities. Risk factors related to the socioeconomic context affected the course of the pandemic in the country and contributed to high mortality rates. Pre-existing social vulnerabilities were critical factors in the aggravation of COVID-19, as supported by the observed associations in this study.

Indexed as

COVID-19Social SegregationBrazilHumansIncomeMortalitySocioeconomic Factors

Identifiers

PMID36378655
PMCPMC9665357
OpenAlexW4309112456

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.