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Predicting Mortality by Causes in the Republic of Bashkortostan Using the Lee–Carter Model

This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee–Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have...

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Detalles Bibliográficos
Autores principales: Lakman, I. A., Askarov, R. A., Prudnikov, V. B., Askarova, Z. F., Timiryanova, V. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460060/
https://www.ncbi.nlm.nih.gov/pubmed/34584398
http://dx.doi.org/10.1134/S1075700721050063
Descripción
Sumario:This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee–Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have lower mortality due to malignant neoplasms in all age groups, except for the 70+ group for women and 50+ age groups for men; lower mortality due to diseases of the circulatory system in all age groups for men and higher mortality in 45+ age groups for women; lower mortality due to injuries in all age groups for both sexes; no significant changes in mortality due to respiratory diseases; increased mortality from gastrointestinal diseases for both sexes at all ages, except for children; higher mortality due to infections at 20–54 for men and 20–64 for women; and almost half lower mortality from infections in the age group of 0–4 years for both sexes.