Excess mortality in Russian regions during the COVID-19 pandemic

Q3 Economics, Econometrics and Finance REconomy Pub Date : 2021-01-01 DOI:10.15826/recon.2021.7.4.020
M. Makarova, O. Pyshmintseva
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引用次数: 3

Abstract

Relevance. In Russia, there are significant regional variations in the socio-economic impact of the COVID-19 pandemic (e.g. the growth in the number of deaths ranged from 7% in Novgorod Region to 43% in the Chechen Republic). In this paper, we focus on excess mortality and the key factors that contributed to it in order to get a better understanding of reasons behind such dramatic regional variations. The research objective is to assess excess mortality due to the COVID-19 pandemic and identify the key factors influencing the growth in mortality and regional variations in this indicator. Data and methods. The paper uses the analytical, statistical and correlation methods and the statistical data on Russian regions provided by the Federal State Statistics Service (Rosstat). Results. The analysis of excess mortality in Russian regions during the COVID-19 pandemic, in particular the correlation between excess mortality and intensity of human flows, has been used to build a typology of regions. In total, the regions were divided into four groups, and for each group the main factors that contributed to the growth in mortality were identified. The research findings can be used by policy-makers to devise more efficient regional policies in response to the COVID-19 crisis.
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2019冠状病毒病大流行期间俄罗斯地区死亡率过高
的相关性。在俄罗斯,2019冠状病毒病大流行的社会经济影响存在显著的区域差异(例如,死亡人数增长幅度从诺夫哥罗德地区的7%到车臣共和国的43%不等)。在本文中,我们将重点关注高死亡率和导致高死亡率的关键因素,以便更好地理解这种巨大区域差异背后的原因。研究目的是评估COVID-19大流行造成的超额死亡率,并确定影响死亡率增长的关键因素以及该指标的区域差异。数据和方法。本文采用了分析、统计和相关的方法以及俄罗斯联邦国家统计局(Rosstat)提供的俄罗斯地区统计数据。结果。对2019冠状病毒病大流行期间俄罗斯各地区过高死亡率的分析,特别是过高死亡率与人口流动强度之间的相关性,已用于建立区域类型学。总的来说,这些区域分为四组,每组都确定了导致死亡率上升的主要因素。政策制定者可以利用研究结果制定更有效的区域政策,以应对COVID-19危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
REconomy
REconomy Economics, Econometrics and Finance-General Economics, Econometrics and Finance
CiteScore
1.60
自引率
0.00%
发文量
8
审稿时长
14 weeks
期刊最新文献
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