Application of Statistical Analysis Methods to Identify Health Problems Among the Population of Regions
The article examines health problems in the pop-ulation of Russian regions using statistical methods such as correlation, cluster and factor analysis. A significant influence of environmental factors has been revealed. Three clusters have been identified: regions with high mortality, regions at risk and regions with low mortality. For the first cluster, factors influencing the ecology of the regions have been considered. Four groups of diseases have been identified using factor analysis and their contribution to the mortality rate of the population has been determined. These are cardiovascular diseases, respiratory diseases, as well as digestive diseases and various neoplasms. The results obtained will contribute to the development of scientifically based solutions aimed at improving the health, standard of living and well-being of the population.
Authors
- Elena Kuznetsova (ORCID: https://orcid.org/0000-0001-5408-2070)
- Natalia Zhbanova (ORCID: https://orcid.org/0000-0001-7324-9841)
- Margarita Karlova (ORCID: https://orcid.org/0000-0002-0354-9897)
- Tatiana Fomina (ORCID: https://orcid.org/0000-0001-5097-4733)
Institutions
- Lipetsk State Technical University (RU)
- Lipetsk State Pedagogical University (RU)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/summa64428.2024.10803888
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00