Russian Short-Term Mortality Fluctuations Data Series
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 base...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Moscow State University, Faculty of Economics
2023-12-01
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| Series: | Население и экономика |
| Online Access: | https://populationandeconomics.pensoft.net/article/114628/download/pdf/ |
| _version_ | 1827573224213315584 |
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| author | Aleksey E. Shchur Sergey A. Timonin Elena V. Churilova Egor V. Sergeev Vera V. Sokolova Olga A. Rodina Bulat A. Shamsutdinov Dmitry A. Jdanov Vladimir M. Shkolnikov |
| author_facet | Aleksey E. Shchur Sergey A. Timonin Elena V. Churilova Egor V. Sergeev Vera V. Sokolova Olga A. Rodina Bulat A. Shamsutdinov Dmitry A. Jdanov Vladimir M. Shkolnikov |
| author_sort | Aleksey E. Shchur |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T20:16:13Z |
| format | Article |
| id | doaj.art-9de0b284b7e04820b124ab2d1c1e8237 |
| institution | Directory Open Access Journal |
| issn | 2658-3798 |
| language | English |
| last_indexed | 2024-03-08T20:16:13Z |
| publishDate | 2023-12-01 |
| publisher | Moscow State University, Faculty of Economics |
| record_format | Article |
| series | Население и экономика |
| spelling | doaj.art-9de0b284b7e04820b124ab2d1c1e82372023-12-22T15:29:55ZengMoscow State University, Faculty of EconomicsНаселение и экономика2658-37982023-12-017318819710.3897/popecon.7.e114628114628Russian Short-Term Mortality Fluctuations Data SeriesAleksey E. Shchur0Sergey A. Timonin1Elena V. Churilova2Egor V. Sergeev3Vera V. Sokolova4Olga A. Rodina5Bulat A. Shamsutdinov6Dmitry A. Jdanov7Vladimir M. Shkolnikov8HSE UniversityThe Australian National UniversityHSE UniversityHSE UniversityHSE UniversityHSE UniversityHSE UniversityHSE UniversityHSE UniversityThe 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.https://populationandeconomics.pensoft.net/article/114628/download/pdf/ |
| spellingShingle | Aleksey E. Shchur Sergey A. Timonin Elena V. Churilova Egor V. Sergeev Vera V. Sokolova Olga A. Rodina Bulat A. Shamsutdinov Dmitry A. Jdanov Vladimir M. Shkolnikov Russian Short-Term Mortality Fluctuations Data Series Население и экономика |
| title | Russian Short-Term Mortality Fluctuations Data Series |
| title_full | Russian Short-Term Mortality Fluctuations Data Series |
| title_fullStr | Russian Short-Term Mortality Fluctuations Data Series |
| title_full_unstemmed | Russian Short-Term Mortality Fluctuations Data Series |
| title_short | Russian Short-Term Mortality Fluctuations Data Series |
| title_sort | russian short term mortality fluctuations data series |
| url | https://populationandeconomics.pensoft.net/article/114628/download/pdf/ |
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