Excess mortality during the COVID-19 pandemic and its spatial distribution in the state of Pernambuco, Brazil: an ecological study.

IF 2.5 Q1 Multidisciplinary Epidemiologia e Servicos de Saude Pub Date : 2024-07-29 eCollection Date: 2024-01-01 DOI:10.1590/S2237-96222024v33e20231014.en
Letícia Moreira Silva, Amanda Priscila de Santana Cabral Silva, Maria Helena Rodrigues Galvão, Ana Lúcia Andrade da Silva, Lívia Teixeira de Souza Maia
{"title":"Excess mortality during the COVID-19 pandemic and its spatial distribution in the state of Pernambuco, Brazil: an ecological study.","authors":"Letícia Moreira Silva, Amanda Priscila de Santana Cabral Silva, Maria Helena Rodrigues Galvão, Ana Lúcia Andrade da Silva, Lívia Teixeira de Souza Maia","doi":"10.1590/S2237-96222024v33e20231014.en","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate excess mortality during the COVID-19 pandemic and its spatial distribution in Pernambuco, Brazil.</p><p><strong>Methods: </strong>This was an ecological, descriptive and analytical study of deaths, by municipality, recorded on the Mortality Information System, in 2020 and 2021. Excess mortality was measured by comparing observed and expected deaths, the latter estimated by calculating standardized mortality ratio (SMR). SMR and respective confidence intervals (95%CI) were calculated. Spatial analysis was performed by calculating the Global and Local Moran Index.</p><p><strong>Results: </strong>Excess mortality was 20.6% and 27.5%, respectively, in 2020 and 2021, with positive spatial correlation (p-value < 0.05). More populous municipalities (2020: SMR = 1.26; 95%CI 1.24;1.27 and 2021: SMR = 1.34; 95%CI 1.32;1.34), more developed municipalities (2020: SMR = 1.43; 95%CI 1.41;1.44 and 2021: SMR = 1.51;95%CI 1.50;1.53) and municipalities in the Sertão region (2020:SMR = 1.31;95%CI 1.30;1.33 and 2021: SMR = 1.44; 95%CI 1.42;1.46) showed greater excess deaths.</p><p><strong>Conclusion: </strong>Excess mortality coincided with peak periods of COVID-19 transmission.</p>","PeriodicalId":51473,"journal":{"name":"Epidemiologia e Servicos de Saude","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11295266/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiologia e Servicos de Saude","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S2237-96222024v33e20231014.en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To investigate excess mortality during the COVID-19 pandemic and its spatial distribution in Pernambuco, Brazil.

Methods: This was an ecological, descriptive and analytical study of deaths, by municipality, recorded on the Mortality Information System, in 2020 and 2021. Excess mortality was measured by comparing observed and expected deaths, the latter estimated by calculating standardized mortality ratio (SMR). SMR and respective confidence intervals (95%CI) were calculated. Spatial analysis was performed by calculating the Global and Local Moran Index.

Results: Excess mortality was 20.6% and 27.5%, respectively, in 2020 and 2021, with positive spatial correlation (p-value < 0.05). More populous municipalities (2020: SMR = 1.26; 95%CI 1.24;1.27 and 2021: SMR = 1.34; 95%CI 1.32;1.34), more developed municipalities (2020: SMR = 1.43; 95%CI 1.41;1.44 and 2021: SMR = 1.51;95%CI 1.50;1.53) and municipalities in the Sertão region (2020:SMR = 1.31;95%CI 1.30;1.33 and 2021: SMR = 1.44; 95%CI 1.42;1.46) showed greater excess deaths.

Conclusion: Excess mortality coincided with peak periods of COVID-19 transmission.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
COVID-19 大流行期间的超高死亡率及其在巴西伯南布哥州的空间分布:一项生态研究。
目的:调查 COVID-19 大流行期间巴西伯南布哥州的超额死亡率及其空间分布情况:调查 COVID-19 大流行期间巴西伯南布哥州的超额死亡率及其空间分布情况:这是一项生态学、描述性和分析性研究,研究对象是 2020 年和 2021 年死亡率信息系统记录的各市死亡人数。超额死亡率通过比较观察到的死亡人数和预期死亡人数来衡量,后者通过计算标准化死亡率(SMR)来估算。计算了标准死亡率和各自的置信区间(95%CI)。通过计算全球和地方莫兰指数进行空间分析:2020年和2021年的超额死亡率分别为20.6%和27.5%,具有正空间相关性(p值<0.05)。人口较多的城市(2020 年:SMR = 1.26; 95%CI 1.24;1.27 和 2021 年:SMR = 1.34; 95%CI 1.32;1.34)、较发达的城市(2020 年:SMR = 1.43; 95%CI 1.41;1.44 和 2021 年:SMR = 1.51;95%CI 1.50;1.53)和塞尔唐地区的城市(2020:SMR = 1.31;95%CI 1.30;1.33和2021:SMR = 1.44; 95%CI 1.42;1.46)的超额死亡率更高:超额死亡率与 COVID-19 传播的高峰期相吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Epidemiologia e Servicos de Saude
Epidemiologia e Servicos de Saude PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.90
自引率
0.00%
发文量
88
审稿时长
21 weeks
期刊最新文献
Dietary patterns of children living in slums and their associated factors: a cross-sectional study, 2019-2022. Bed demand and occupancy within the Brazilian National Health System for the most common types of cancer in Brazil, from 2018 to 2021: a cross-sectional study. Factors associated with delayed initiation of breast cancer treatment at an oncology referral center in Juiz de Fora, Minas Gerais state, from 2010 to 2019: a cohort study. Trend in the epidemiological risk of leprosy in the state of Goiás-Brazil between 2010 and 2021. Racial inequalities in child vaccination and barriers to vaccination in Brazil among live births in 2017 and 2018: an analysis of a retrospective cohort of the first two years of life.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1