• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

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.

DOI:10.1590/0037-8682-0782-2020
PMID:33759930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8008902/
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/6274/8008902/4c0e1bab5f86/1678-9849-rsbmt-54-e0782-2020-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/8008902/da867c1e975e/1678-9849-rsbmt-54-e0782-2020-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/8008902/4c0e1bab5f86/1678-9849-rsbmt-54-e0782-2020-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/8008902/da867c1e975e/1678-9849-rsbmt-54-e0782-2020-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/8008902/4c0e1bab5f86/1678-9849-rsbmt-54-e0782-2020-gf2.jpg

相似文献

1
COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index.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。
Rev Soc Bras Med Trop. 2021 Mar 22;54:e0782-2020. doi: 10.1590/0037-8682-0782-2020. eCollection 2021.
2
[Spatial and temporal aspects and factors associated with the spread of Covid-19 to the interior of the State of Pernambuco, Brazil].[与新冠病毒传播至巴西伯南布哥州内陆相关的时空因素]
Cien Saude Colet. 2021 Jun;26(6):2171-2182. doi: 10.1590/1413-81232021266.00642021. Epub 2021 Mar 7.
3
Severe Acute Respiratory Syndrome in Pernambuco: comparison of patterns before and during the COVID-19 pandemic.伯南布哥州的严重急性呼吸综合征：COVID-19大流行之前和期间的模式比较。
Cien Saude Colet. 2020 Oct;25(suppl 2):4141-4150. doi: 10.1590/1413-812320202510.2.29452020. Epub 2020 Aug 10.
4
The first hundred days of COVID-19 in Pernambuco State, Brazil: epidemiology in historical context.巴西伯南布哥州新冠疫情的头一百天：历史背景下的流行病学
Cad Saude Publica. 2020 Dec 18;36(11):e00228220. doi: 10.1590/0102-311X00228220. eCollection 2020.
5
The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil.陆地流动网络结构与巴西 COVID-19 传播之间的关系。
Cad Saude Publica. 2020 Oct 5;36(9):e00184820. doi: 10.1590/0102-311X00184820. eCollection 2020.
6
Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará in Brazil.巴西塞阿拉州各市新型冠状病毒肺炎发病率与人类发展之间空间相关性的初步分析。
Rev Bras Epidemiol. 2020 Jun 22;23:e200057. doi: 10.1590/1980-549720200057. eCollection 2020.
7
Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil.研究巴西圣保罗州 COVID-19 的时空模式。
Geospat Health. 2020 Nov 26;15(2). doi: 10.4081/gh.2020.925.
8
Spatial Analysis of COVID-19 cases and intensive care beds in the State of Ceará, Brazil.巴西塞阿拉州新冠肺炎病例与重症监护床位的空间分析。
Cien Saude Colet. 2020 Jun;25(suppl 1):2461-2468. doi: 10.1590/1413-81232020256.1.10952020. Epub 2020 Apr 25.
9
Multiple Introductions Followed by Ongoing Community Spread of SARS-CoV-2 at One of the Largest Metropolitan Areas of Northeast Brazil.巴西东北部最大都会区之一发生的多次输入引发的持续社区传播 SARS-CoV-2
Viruses. 2020 Dec 9;12(12):1414. doi: 10.3390/v12121414.
10
Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology.巴西伯南布哥州对 COVID-19 的脆弱性：基于多标准决策辅助方法的地理空间评估。
Geospat Health. 2022 Jan 14;17(s1). doi: 10.4081/gh.2022.1000.

引用本文的文献

1
Severity Profile of COVID-19 in Hospitalized Pediatric Patients.住院儿科患者中新冠病毒病的严重程度概况
Children (Basel). 2024 Oct 16;11(10):1249. doi: 10.3390/children11101249.
2
Factors associated with covid-19 deaths in the city of Recife, Pernambuco, Brazil, 2020: a cross-sectional study with "Notifique Aqui" system data.2020 年巴西伯南布哥州累西腓市与新冠死亡病例相关因素的研究：基于“Notifique Aqui”系统数据的横断面研究
Epidemiol Serv Saude. 2023 May 5;32(2):e2022701. doi: 10.1590/S2237-96222023000200014. eCollection 2023.
3
Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.

本文引用的文献

1
Severe Acute Respiratory Syndrome in Pernambuco: comparison of patterns before and during the COVID-19 pandemic.伯南布哥州的严重急性呼吸综合征：COVID-19大流行之前和期间的模式比较。
Cien Saude Colet. 2020 Oct;25(suppl 2):4141-4150. doi: 10.1590/1413-812320202510.2.29452020. Epub 2020 Aug 10.
2
The pandemic exacerbates health inequalities.这场大流行病加剧了健康不平等现象。
Cien Saude Colet. 2020 Sep;25(9):3555-3556. doi: 10.1590/1413-81232020259.13742020. Epub 2020 Aug 28.
3
Addressing the indirect effects of COVID-19 on the health of children and young people.
用于 COVID-19 流行病学的空间和时空分析的方法：系统评价。
Int J Environ Res Public Health. 2022 Jul 6;19(14):8267. doi: 10.3390/ijerph19148267.
4
Human Development Index Is Associated with COVID-19 Case Fatality Rate in Brazil: An Ecological Study.人类发展指数与巴西 COVID-19 病死率相关：一项生态学研究。
Int J Environ Res Public Health. 2022 Apr 27;19(9):5306. doi: 10.3390/ijerph19095306.
5
Seroprevalence and factors associated with SARS-CoV-2 infection among education workers after the first wave: the first cross-sectional study in Brazil.血清阳性率及第一波疫情后教育工作者感染 SARS-CoV-2 的相关因素：巴西的首次横断面研究。
Rev Soc Bras Med Trop. 2022 Apr 29;55:e06062021. doi: 10.1590/0037-8682-0606-2021. eCollection 2022.
应对新冠疫情对儿童和青少年健康的间接影响。
CMAJ. 2020 Aug 10;192(32):E921-E927. doi: 10.1503/cmaj.201008. Epub 2020 Jun 24.
4
Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará in Brazil.巴西塞阿拉州各市新型冠状病毒肺炎发病率与人类发展之间空间相关性的初步分析。
Rev Bras Epidemiol. 2020 Jun 22;23:e200057. doi: 10.1590/1980-549720200057. eCollection 2020.
5
A child with household transmitted COVID-19.家庭传播的 COVID-19 患儿。
BMC Infect Dis. 2020 May 7;20(1):329. doi: 10.1186/s12879-020-05056-w.
6
How Covid-19 opened up questions of sociomateriality in healthcare education.新冠疫情如何引发了医疗保健教育中社会物质性的问题。
Adv Health Sci Educ Theory Pract. 2020 May;25(2):479-482. doi: 10.1007/s10459-020-09968-9. Epub 2020 May 6.
7
The intriguing features of COVID-19 in children and its impact on the pandemic.新冠病毒在儿童中的有趣特征及其对疫情的影响。
J Pediatr (Rio J). 2020 May-Jun;96(3):265-268. doi: 10.1016/j.jped.2020.04.001. Epub 2020 Apr 14.
8
SARS-CoV-2 Infection in Children.儿童感染新型冠状病毒2型
N Engl J Med. 2020 Apr 23;382(17):1663-1665. doi: 10.1056/NEJMc2005073. Epub 2020 Mar 18.
9
[Environmental health and inequalities: building indicators for sustainable development].[环境卫生与不平等：构建可持续发展指标]
Cien Saude Colet. 2012 Jun;17(6):1419-25. doi: 10.1590/s1413-81232012000600006.