Evidence map›Paper›PMID 40172344›Full record

ArticleCadernos de saude publica2025

Social vulnerability and severe COVID-19 in pregnant women: an ecological study in Pernambuco State, Brazil, 2020-2021.

Hingrid Wandille Barros da Silva Sá, Mirella Bezerra Rodrigues Vilela, Carlos Fabrício Assunção da Silva, Gabriella Morais Duarte Miranda, Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Hingrid Wandille Barros da Silva SáUniversidade Federal de Pernambuco, Recife, Brasil.ORCID 0000-0001-6330-0754
Mirella Bezerra Rodrigues VilelaUniversidade Federal de Pernambuco, Recife, Brasil.ORCID 0000-0001-5113-7144
Carlos Fabrício Assunção da SilvaUniversidade Federal de Pernambuco, Recife, Brasil.ORCID 0000-0001-7009-8996
Gabriella Morais Duarte MirandaUniversidade Federal de Pernambuco, Recife, Brasil.ORCID 0000-0001-9588-6817
Heitor Victor Veiga da CostaUniversidade Federal de Pernambuco, Recife, Brasil.ORCID 0000-0003-2525-6689
Cristine Vieira do BonfimFundação Joaquim Nabuco, Recife, Brasil.ORCID 0000-0002-4495-9673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the association between social vulnerability indicators and the incidence rate of severe COVID-19 in pregnant women in Pernambuco State, Brazil, between 2020 and 2021. It is an ecological study that assessed severe cases of COVID-19 in pregnant women reported to the Influenza Surveillance System in Brazil. To determine such association, the zero adjusted Gamma (ZAGA) regression model was applied due to the large number of zeros in the response variable. Variables available in the Demographic Census were used, representing socioenvironmental conditions, household characteristics, and urban services. In the study period, 475 severe cases of COVID-19 were reported in pregnant women, with an incidence rate of 1.40 cases per 1,000 live births. Modeling with ZAGA showed that the mean incidence rate is affected by the illiteracy rate, with the average increasing by a relative 5.1% for every 1% (p = 0.024). The ZAGA model also estimates the chance of a municipality having a zero rate, with these values increasing by 2.7% for every 1% of the proportion of Family Health Strategy coverage, by 19.3% for every 0.01 of the Municipal Human Development Index (M-HDI) education dimension, and by 21.3% for every 0.01 of the M-HDI longevity dimension. When the M-HDI increases, the chance of the municipality having a zero rate decreases by 33.8% for every 0.01. Population density reduces the chance by 4.5% for every 10 inhabitants/km2. This study highlighted the influence of social vulnerability indicators on the incidence of severe COVID-19 cases in pregnant women, showing that some aspects of social and demographic characteristics are related to such influence.

Indexed as

COVID-19Pregnancy Complications, InfectiousSocial VulnerabilityAdolescentAdultBrazilFemaleHumansIncidencePregnancyRisk FactorsSARS-CoV-2Severity of Illness IndexSocioeconomic FactorsYoung Adult

Identifiers

PMID40172344
PMCPMC11960752

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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.