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2006 - 2013年巴西圣埃斯皮里图州可避免婴儿死亡情况的空间分析。

Spatial analysis of avoidable infant deaths in Espírito Santo, Brazil, 2006-2013.

作者信息

Dias Barbara Almeida Soares, Santos-Neto Edson Theodoro Dos, Andrade Maria Angélica Carvalho, Zandonade Eliana

机构信息

Escola Nacional de Saúde Pública Sergio Arouca, Programa de Pós-graduação em Epidemiologia em Saúde Pública, Rio de Janeiro, RJ, Brasil.

Universidade Federal do Espírito Santo, Departamento de Medicina Social, Vitória, ES, Brasil.

出版信息

Epidemiol Serv Saude. 2019 Sep 9;28(3):e2018111. doi: 10.5123/S1679-49742019000300001.

Abstract

OBJECTIVE

to analyze spatial distribution of avoidable infant deaths in Espírito Santo state, Brazil, 2006-2013.

METHODS

this was an ecological study of infant deaths recorded on the Mortality Information System and classified according to the method used by the International Collaborative Effort on Perinatal and Infant Mortality (ICE). Avoidable death rates were calculated and smoothed by global and local Bayesian estimators. Local Moran's Index was used to verify local spatial correlation.

RESULTS

of the 5,089 deaths, 4,805 were classified as per ICE, 77.2% of which were avoidable. The crude mean rate was 9.68/1.000 live births, reducing to 8.96/1.000 live births after applying the global Bayesian estimator. The municipality of Jerônimo Monteiro had the highest rate (20.1/1.000 live births). The Local Moran's Index showed weak spatial correlation of 0.197 (p-value=0.02).

CONCLUSION

there were clusters of municipalities in the Central and Southern regions of the state, suggesting the need for adequate monitoring in these areas where there is a higher risk of avoidable deaths.

摘要

目的

分析2006 - 2013年巴西圣埃斯皮里图州可避免的婴儿死亡的空间分布情况。

方法

这是一项基于死亡信息系统记录的婴儿死亡情况的生态学研究,并根据围产期和婴儿死亡率国际合作项目(ICE)所使用的方法进行分类。计算可避免死亡率,并通过全局和局部贝叶斯估计量进行平滑处理。使用局部莫兰指数来验证局部空间相关性。

结果

在5089例死亡病例中,4805例根据ICE进行了分类,其中77.2%为可避免死亡。粗平均率为9.68/1000活产,应用全局贝叶斯估计量后降至8.96/1000活产。热罗尼莫·蒙泰罗市的死亡率最高(20.1/1000活产)。局部莫兰指数显示出较弱的空间相关性,为0.197(p值 = 0.02)。

结论

该州中部和南部地区存在一些市的聚集情况,这表明需要对这些可避免死亡风险较高的地区进行充分监测。

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