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孕妇的社会脆弱性与重症 COVID-19:2020 - 2021年巴西伯南布哥州的一项生态研究

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

作者信息

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

机构信息

Universidade Federal de Pernambuco, Recife, Brasil.

Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brasil.

出版信息

Cad Saude Publica. 2025 Mar 31;41(2):e00175623. doi: 10.1590/0102-311XEN175623. eCollection 2025.

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.

摘要

本研究分析了2020年至2021年期间巴西伯南布哥州社会脆弱性指标与孕妇中重症新冠肺炎发病率之间的关联。这是一项生态学研究,评估了向巴西流感监测系统报告的孕妇新冠肺炎重症病例。为确定这种关联,由于响应变量中存在大量零值,应用了零调整伽马(ZAGA)回归模型。使用了人口普查中的可用变量,这些变量代表社会环境状况、家庭特征和城市服务。在研究期间,报告了475例孕妇重症新冠肺炎病例,发病率为每1000例活产1.40例。ZAGA建模显示,平均发病率受文盲率影响,每增加1%,平均相对增加5.1%(p = 0.024)。ZAGA模型还估计了一个市零发病率的概率,家庭健康战略覆盖比例每增加1%,这些值增加2.7%,市人类发展指数(M - HDI)教育维度每增加0.01,增加19.3%,M - HDI长寿维度每增加0.01,增加21.3%。当M - HDI增加时,市零发病率的概率每增加0.01降低33.8%。人口密度每增加10人/平方公里,概率降低4.5%。本研究突出了社会脆弱性指标对孕妇重症新冠肺炎病例发病率的影响,表明社会和人口特征的某些方面与此种影响相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb66/11960752/b7ad27a84e92/1678-4464-csp-41-02-EN175623-gf1.jpg

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