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COVID-19 患儿在伯南布哥州:确诊重症病例的空间分析与人类发展指数。

COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index.

机构信息

Universidade Federal de Pernambuco, Centro Acadêmico Vitória, Núcleo de Saúde Coletiva, Vitória de Santo Antão, PE, Brasil.

Fundação Oswaldo Cruz, Instituto Aggeu Magalhães, Departamento de Saúde Coletiva, Recife, PE, Brasil.

出版信息

Rev Soc Bras Med Trop. 2021 Mar 22;54:e0782-2020. doi: 10.1590/0037-8682-0782-2020. eCollection 2021.

Abstract

INTRODUCTION

Health planning is required for the control and prevention of severe cases of COVID-19 in children.

METHODS

Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted.

RESULTS

A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001).

CONCLUSIONS

Considering the local particularities can assist in directing the priorities for decision making.

摘要

引言

为了控制和预防儿童 COVID-19 重症病例,需要进行卫生规划。

方法

对疫情前六个月在巴伊亚州的儿童 COVID-19 重症病例进行空间分析,并与人类发展指数进行自相关分析。

结果

共发现 551 例重症病例(39.4 例/100,000 居民),最初集中在大都市区,随后向内陆地区转移。还确定了病例的空间自相关。二元分析显示欠发达城市存在警戒区域(I=0.341;p=0.001)。

结论

考虑到当地的特殊性,可以帮助确定决策的优先事项。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/8008902/da867c1e975e/1678-9849-rsbmt-54-e0782-2020-gf1.jpg

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