Russian Short-Term Mortality Fluctuations Data Series

Aleksey E. Shchur (), Sergey A. Timonin (), Elena V. Churilova (), Egor V. Sergeev (), Vera V. Sokolova (), Olga A. Rodina (), Bulat A. Shamsutdinov (), Dmitry A. Jdanov () and Vladimir M. Shkolnikov ()
Additional contact information
Aleksey E. Shchur: HSE University, Moscow, Russia
Sergey A. Timonin: The Australian National University, Canberra, Australia
Elena V. Churilova: HSE University, Moscow, Russia
Egor V. Sergeev: HSE University, Moscow, Russia
Vera V. Sokolova: HSE University, Moscow, Russia
Olga A. Rodina: HSE University, Moscow, Russia
Bulat A. Shamsutdinov: HSE University, Moscow, Russia
Dmitry A. Jdanov: HSE University, Moscow, Russia
Vladimir M. Shkolnikov: HSE University, Moscow, Russia

Population and Economics, 2023, vol. 7, issue 3, 188-197

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.

Keywords: demographic; databases; regions; of; Russia; excess; mortality; short-term; mortality; fluctuations (search for similar items in EconPapers)
JEL-codes: I J (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://populationandeconomics.pensoft.net/article/114628/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arh:jpopec:v:7:y:2023:i:3:p:188-197

DOI: 10.3897/popecon.7.e114628

Access Statistics for this article

Population and Economics is currently edited by Irina E. Kalabikhina

More articles in Population and Economics from ARPHA Platform
Bibliographic data for series maintained by Teodor Georgiev ().