Evidence map›Paper›PMID 33316478›Full record

ArticlePublic health2021

Socio-economic inequalities and COVID-19 incidence and mortality in Brazilian children: a nationwide register-based study.

P R Martins-Filho, L J Quintans-Júnior, A A de Souza Araújo, K B Sposato, C S Souza Tavares, R Q Gurgel, D C Fontes Leite, S M de Paiva, H P Santos, V S Santos

Abstract read
In one paragraph

Article in Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022
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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

10 authors.

P R Martins-FilhoFederal University of Sergipe, Brazil. Electronic address: martins-filho@ufs.br.
L J Quintans-JúniorFederal University of Sergipe, Brazil.
A A de Souza AraújoFederal University of Sergipe, Brazil.
K B SposatoFederal University of Sergipe, Brazil; Juvenile Justice and Child Abuse, UNICEF Brazil.
C S Souza TavaresFederal University of Sergipe, Brazil.
R Q GurgelFederal University of Sergipe, Brazil.
D C Fontes LeiteFederal University of Sergipe, Brazil.
S M de PaivaFederal University of Minas Gerais, Brazil.
H P SantosUniversity of North Carolina at Chapel Hill, United States.
V S SantosFederal University of Alagoas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to estimate the incidence and mortality rates of coronavirus disease 2019 (COVID-19) in Brazilian children and to analyze its relationship with socio-economic inequalities in a state-level analysis. STUDY

designThis is a nationwide register-based study.

methodsTo estimate the incidence and mortality rates of COVID-19 in Brazilian children aged 0-19 years, we extracted data of confirmed cases and deaths from the de-identified microdata catalog and official bulletins of the 27 Brazilian states' health department websites until September 3, 2020. Social and economic inequalities were evaluated using the Social Vulnerability Index and Gini coefficient, respectively. The relationship between COVID-19 rates in Brazilian children and socio-economic vulnerability at the state level was analyzed using Spearman's rank correlation.

resultsOf the 3,998,055 individuals with COVID-19 included in our database, 335,279 (8.4%) were children aged 0-19 years. Eight hundred deaths in children were registered, which accounts for about 0.7% of the deaths related to COVID-19 in the country. There were important differences in the incidence and mortality rates among Brazilian regions, and a correlation between mortality rates and social (ρ = 0.519; P-value = 0.007; effect magnitude: moderate) and economic (ρ = 0.615; P-value < 0.001; effect magnitude: strong) inequalities was found in a state-level analysis.

conclusionsThis population-based study showed important regional differences in COVID-19 estimates for children in Brazil and a relationship between mortality rates and socio-economic inequalities. The knowledge of sociogeographic differences in the estimates of COVID-19 is crucial to planning societal strategies and local decision-making to mitigate the effects of disease in the pediatric population.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesSocioeconomic FactorsAdolescentBrazilChildChild, PreschoolCOVID-19FemaleHumansIncidenceInfantInfant, NewbornMalePediatricsPublic HealthCOVID-19PediatricsPublic healthSARS-CoV-2Socio-economic factors

Identifiers

PMID33316478
PMCPMC7833565

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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.