SEGMENTATION OF TERRITORIES OF THE REPUBLIC OF BASHKORTOSTAN ON THE LEVEL OF MORTALITY FROM MALIGNANT NEOPLASMS

Malignant neoplasms are an actual problem due to their high prevalence, high level of disability, tendency to increase. The purpose of the study is the segmentation of the territories of the Republic of Bashkortostan (RB) by the level of mortality from malignant neoplasms (MN) as a whole by municipalities, as well as by gender and by localizations of malignant neoplasms. Material and methods. The data of official statistics of the Territorial body of the Federal State Statistics Service of the Republic of Belarus (Table C 51), Rosstat were analyzed. The study was conducted using k-means cluster analysis and rating, implemented in the Statistica system. Results. There is a significant increase in the death rate of the entire population of ZN in 41 municipalities. Analysis of standardized mortality rates shows that the mortality rate per 100 thousand of the population in the Republic of Belarus is lower than similar indicators in the Russian Federation. The exception is mortality in esophageal cancer, which is higher in both men and women than in the Russian Federation. It has been established that the regions of the fourth and fifth clusters are unfavorable in terms of mortality from MN. Discussion. Revealed a pronounced uneven distribution of the territory of the Republic of Belarus with a tendency to an increase in mortality from MN in many territories. It is possible that the main reasons for the increase in mortality rates are worsening socio-economic conditions, lower living standards, increased chemical stress in urbanized areas (air pollution), as well as insufficient promotion of healthy lifestyles among the population, preventive knowledge, and health problems. care, its poor quality. Conclusion. As a result of the analysis, it was possible to establish that cluster analysis allows us to identify areas that have similar problems related to the level and trends of mortality from malignant tumors.

mortality, malignant neoplasms, segmentation of territories, cluster analysis

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