Russian Short-Term Mortality Fluctuations Data Series

Aleksey E. Shchur, S. Timonin, E. Churilova, Egor V. Sergeev, Vera V. Sokolova, Olga A. Rodina, Bulat A. Shamsutdinov, Dmitry A. Jdanov, V. Shkolnikov
{"title":"Russian Short-Term Mortality Fluctuations Data Series","authors":"Aleksey E. Shchur, S. Timonin, E. Churilova, Egor V. Sergeev, Vera V. Sokolova, Olga A. Rodina, Bulat A. Shamsutdinov, Dmitry A. Jdanov, V. Shkolnikov","doi":"10.3897/popecon.7.e114628","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic has revealed significant gaps in the coverage and quality of the existing international and national statistical surveillance systems. The most reliable approach to estimating mortality associated with short-term risk factors or factors fluctuating within calendar years is based on estimating weekly excess mortality. Although this approach is obvious, its application turned out to be problematic due to the lack of reliable data. In response to this challenge, a new Short-Term Mortality Fluctuations (STMF) data series was created in 2020. The Russian Short-Term Mortality Fluctuations Data Series (RuSTMF) is a further development of the STMF idea at the regional level. It contains weekly crude and standardized death rates for the Russian regions and Russia as a whole. The main source for calculating death rates is depersonalized individual data on the deceased provided by the Rosstat. This database provides for the analysis of short- and medium-term changes in mortality in males, females and total population in Russia as a whole and its regions, as well as the estimation of «excess» deaths during short-term sharp increases in mortality due to, for example, heat or cold waves, seasonal influenza epidemics, the Covid-19 pandemic or technogenic catastrophes.","PeriodicalId":93044,"journal":{"name":"Population and economics","volume":" 63","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population and economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/popecon.7.e114628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The COVID-19 pandemic has revealed significant gaps in the coverage and quality of the existing international and national statistical surveillance systems. The most reliable approach to estimating mortality associated with short-term risk factors or factors fluctuating within calendar years is based on estimating weekly excess mortality. Although this approach is obvious, its application turned out to be problematic due to the lack of reliable data. In response to this challenge, a new Short-Term Mortality Fluctuations (STMF) data series was created in 2020. The Russian Short-Term Mortality Fluctuations Data Series (RuSTMF) is a further development of the STMF idea at the regional level. It contains weekly crude and standardized death rates for the Russian regions and Russia as a whole. The main source for calculating death rates is depersonalized individual data on the deceased provided by the Rosstat. This database provides for the analysis of short- and medium-term changes in mortality in males, females and total population in Russia as a whole and its regions, as well as the estimation of «excess» deaths during short-term sharp increases in mortality due to, for example, heat or cold waves, seasonal influenza epidemics, the Covid-19 pandemic or technogenic catastrophes.
俄罗斯短期死亡率波动数据系列
COVID-19 大流行揭示了现有国际和国家统计监测系统在覆盖范围和质量方面的巨大差距。估算与短期风险因素或历年内波动因素有关的死亡率的最可靠方法是估算每周超额死亡率。虽然这种方法显而易见,但由于缺乏可靠的数据,其应用却很成问题。为应对这一挑战,2020 年创建了新的短期死亡率波动(STMF)数据系列。俄罗斯短期死亡率波动数据系列(RuSTMF)是 STMF 理念在地区层面的进一步发展。它包含俄罗斯各地区和整个俄罗斯的每周粗死亡率和标准化死亡率。计算死亡率的主要数据来源是俄罗斯国家统计局提供的死者非人格化个人数据。该数据库可用于分析俄罗斯全国及其各地区男性、女性和总人口死亡率的短期和中期变化,以及在热浪或寒潮、季节性流感流行病、Covid-19 大流行病或技术灾难等导致死亡率短期急剧上升期间的 "超额 "死亡人数。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信