Approaches to Assessing Regional Differentiation of Mortality from Coronavirus

O. Kuchmaeva, N. Kalmykova, A. Kolotusha
{"title":"Approaches to Assessing Regional Differentiation of Mortality from Coronavirus","authors":"O. Kuchmaeva, N. Kalmykova, A. Kolotusha","doi":"10.34023/2313-6383-2022-29-4-42-61","DOIUrl":null,"url":null,"abstract":"The study aims to substantiate statistical and methodological approaches that allow the most accurate measurement of the contribution of the COVID-19 pandemic to the level and dynamics of the total mortality in the Russian Federation (in 2019–2020), and to assess the regional differentiation of mortality from the pandemic. The relevance of the study stems from revealing the role of some factors in the rise of mortality rates in Russia (according to data for 2020).In the study, the authors used regression analysis with a set of factors determining pandemic-induced differences in changes in mortality rates across regions of the Russian Federation as a basic analytical tool. The information base of the study is a set of official statistics data, as well as regional representative results of sample socio-demographic surveys of Rosstat.The authors used a set of regression models to test the hypotheses about the influence of a combination of demographic and socioeconomic factors on the increase in the total mortality rate. A repeating set of factors affecting the increase in mortality in different models may indicate the stability of the influence of the following factors: the share of people employed in the service sector, migration turnover, the presence in a region of a city of 500 thou. inhabitants or more, and the death rate from COVID-19. The set of factors influencing the increase in mortality differs by type of settlement and by gender.The article argues for the possibility of using the crude mortality rate as a dependent variable in assessing the causes of mortality growth. A significant part of the regional variation in the increase in the total mortality rate in 2020 in Russian regions is explained by the characteristics of the demographic structure of the region (the share of elderly, the size of the household, the share of people with cancer), as well as the high population density and frequency of social contacts (especially in cities). Rise of COVID-19 related mortality rate had impact on the increase of the total urban mortality rate but did not lead to any significant growth in rural mortality rate.The problem of the need to improve the information base for the selection of objective indicators and methods for analyzing the contribution of the COVID-19 epidemic to the level and dynamics of mortality is emphasized. An important methodological conclusion relevant for further research is the need to search for instrumental variables for COVID-19 related mortality indicators, due to the correlation of factors with the total mortality rate and with the mortality rate from COVID-19, as well as the need for further analysis of changes in the national health care system and its funding amid the pandemic.","PeriodicalId":85843,"journal":{"name":"Voprosy statistiki (Moscow, Russia : 1994)","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Voprosy statistiki (Moscow, Russia : 1994)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34023/2313-6383-2022-29-4-42-61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The study aims to substantiate statistical and methodological approaches that allow the most accurate measurement of the contribution of the COVID-19 pandemic to the level and dynamics of the total mortality in the Russian Federation (in 2019–2020), and to assess the regional differentiation of mortality from the pandemic. The relevance of the study stems from revealing the role of some factors in the rise of mortality rates in Russia (according to data for 2020).In the study, the authors used regression analysis with a set of factors determining pandemic-induced differences in changes in mortality rates across regions of the Russian Federation as a basic analytical tool. The information base of the study is a set of official statistics data, as well as regional representative results of sample socio-demographic surveys of Rosstat.The authors used a set of regression models to test the hypotheses about the influence of a combination of demographic and socioeconomic factors on the increase in the total mortality rate. A repeating set of factors affecting the increase in mortality in different models may indicate the stability of the influence of the following factors: the share of people employed in the service sector, migration turnover, the presence in a region of a city of 500 thou. inhabitants or more, and the death rate from COVID-19. The set of factors influencing the increase in mortality differs by type of settlement and by gender.The article argues for the possibility of using the crude mortality rate as a dependent variable in assessing the causes of mortality growth. A significant part of the regional variation in the increase in the total mortality rate in 2020 in Russian regions is explained by the characteristics of the demographic structure of the region (the share of elderly, the size of the household, the share of people with cancer), as well as the high population density and frequency of social contacts (especially in cities). Rise of COVID-19 related mortality rate had impact on the increase of the total urban mortality rate but did not lead to any significant growth in rural mortality rate.The problem of the need to improve the information base for the selection of objective indicators and methods for analyzing the contribution of the COVID-19 epidemic to the level and dynamics of mortality is emphasized. An important methodological conclusion relevant for further research is the need to search for instrumental variables for COVID-19 related mortality indicators, due to the correlation of factors with the total mortality rate and with the mortality rate from COVID-19, as well as the need for further analysis of changes in the national health care system and its funding amid the pandemic.
冠状病毒死亡率区域差异评估方法
该研究旨在证实统计和方法学方法,以便最准确地衡量2019-2020年2019冠状病毒病大流行对俄罗斯联邦总死亡率水平和动态的贡献,并评估该大流行造成的死亡率的区域差异。这项研究的相关性源于揭示了一些因素在俄罗斯死亡率上升中的作用(根据2020年的数据)。在这项研究中,作者使用回归分析作为一种基本分析工具,其中包括确定大流行引起的俄罗斯联邦各地区死亡率变化差异的一组因素。本研究的资料基础是一套官方统计数据,以及俄罗斯国家统计局抽样社会人口调查的区域代表性结果。作者使用了一组回归模型来检验关于人口和社会经济因素组合对总死亡率增加的影响的假设。在不同的模型中,影响死亡率增加的一组重复因素可能表明下列因素影响的稳定性:服务部门就业的人口比例、移徙人员流动、在一个城市的一个地区有500万人口。居民或更多,以及COVID-19的死亡率。影响死亡率增加的一系列因素因住区类型和性别而异。这篇文章论证了在评估死亡率增长的原因时使用粗死亡率作为因变量的可能性。2020年俄罗斯各地区总死亡率上升的地区差异在很大程度上可以解释为该地区的人口结构特征(老年人比例、家庭规模、癌症患者比例),以及人口密度高和社会接触频率高(特别是在城市)。COVID-19相关死亡率的上升对城市总死亡率的上升有影响,但没有导致农村死亡率的显著增长。强调需要完善信息库,以便选择客观指标和方法来分析COVID-19流行病对死亡率水平和动态的贡献。与进一步研究相关的一个重要方法学结论是,由于与总死亡率和COVID-19死亡率相关的因素存在相关性,需要寻找与COVID-19相关的死亡率指标的工具变量,并且需要进一步分析大流行期间国家卫生保健系统及其资金的变化。
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:604180095
Book学术官方微信
小红书