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Calculation of week-specific age-standardized death rates from STMF data on mortality by broad age intervals
Open accessAbstract
The Short-Term Mortality Fluctuations (STMF) data series provides an opportunity for analysis of intra-annual excess mortality, in particular, human losses due to the COVID-19 pandemic. Nevertheless, the STMF has a limitation caused by the nature of the collected original weekly death counts. In many countries, weekly death counts are available only by broad age groups or/and are too small and shaky. Moreover, the original age scales somewhat vary by country. Thus, the STMF data file presents weekly deaths and death rates by broad age intervals. This simplifies the usage of the STMF and helps to conduct analyses but limits the comparability of results across countries and time. The comparisons may be biased due to differences between the population age composition. This study addresses the problem by providing a method for the estimation of week-specific standardized death rates (SDRs) that combines the aggregated weekly mortality data with detailed annual data on mortality and population. This allows deriving annual transition coefficients for the transformation of crude death rates into SDRs. We show that the derived SDRs approximate well exact SDRs across time and countries.
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“Rates in the broad age groups were adjusted, using methods developed by the Max Planck Institute for Demographic Research on data from the core Human Mortality Database, to those that would be expected given the age distribution of the standard population; they were thus comparable to rates calculated using 5 year age groups.32”
From Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries (2021) · cites this paper as [32]
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Research works printed but not linked: 2
- Jdanov D.A., Shkolnikov V.M., Alustiza Galarza A. with the assistance of Carl Boe and Magali Barbieri. 2020. Short-Term Mortality Fluctuations Data series (STMF). Last update 26.02.2021. Available at https://www.mortality.org/Public/STMF_DOC/STMFNote.pdf Revision of the European Standard Population Report of Eurostat's task force. 2013 edition. Theme: Population and social conditions. Collection: Methodologies & Working papers. Eurostat. European Comission 2013. ISBN 978-92-79-31094-2; ISSN 1977-0375; doi:10.2785/11470; Cat. No: KS-RA-13-028- EN-N. https://ec.europa.eu/eurostat/documents/3859598/5926869/KS-RA-13-028-EN.PDF/e713fa79- 1add-44e8-b23d-5e8fa09b3f8f · DOI
- Lee R.D., Carter L.R. 1992. "Modeling and Forecasting U.S. Mortality." Journal of the American Statistical Association 87: 659-675.
Cited by
Islam, N., Shkolnikov, V. M., Acosta, R. J., Klimkin, I., Kawachi, I., Irizarry, R. A., Alicandro, G., Khunti, K., Yates, T., Jdanov, D. A., et al. (2021) · BMJ · doi:10.1136/bmj.n1137 · Cited by 468
Self-citationSensitivity Analysis of Excess Mortality due to the COVID‐19 Pandemic
Nepomuceno, M. R., Klimkin, I., Jdanov, D. A., Galarza, A. A., & Школьников, В. М. (2022) · Population and Development Review · doi:10.1111/padr.12475 · Cited by 114
Self-citationDemetriou, C. A., Achilleos, S., Quattrocchi, A., Gabel, J., Critselis, E., Constantinou, C., Nicolaou, N., Ambrosio, G., Bennett, C. M., Meur, N. L., et al. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac170 · Cited by 34
“Because several countries did not report weekly mortality by consistent 5-year or more granular age groups, the method and formula proposed by Klimkin et al. (2021)28 was used for the age standardisation.”
MethodVariation in mortality burden of the COVID-19 pandemic across federal states in Germany
Kolobova, M., Jdanov, D. A., Jasilionis, D., Школьников, В. М., & Rau, R. (2023) · European Journal of Public Health · doi:10.1093/eurpub/ckad110 · Cited by 6
Self-citationOn measuring COVID-19 excess mortality: Insights and challenges
Arık, A., Klein, A., & Li, H. (2025) · Insurance Mathematics and Economics · doi:10.1016/j.insmatheco.2025.103199 · Cited by 1
Metadata
- Authors
- Klimkin, I., Shkolnikov, V. M., & Jdanov, D. A.
- Published
- 2021-03
- OpenAlex
- W3134780212
- Cited by
- 5
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 2 · 2021: 1
- Type
- report
- Language
- en
- Open access
- green
- www.demogr.mpg.de
- Locations
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- age-standardized mortality rates, COVID-19 mortality, transition coefficients, crude death rate, age structure, international comparability
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