CLUSTER ANALYSIS OF SOCIALLY SIGNIFICANT DISEASES IN THE RUSSIAN FEDERATION
P. V. Galushin1, E. N. Galushina2
1Siberian Law Institute of the Ministry of Internal Affairs of Russian Federation, Krasnoyarsk, Russian Federation
2Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russian Federation
Keywords: socially significant diseases, cluster analysis, R, Kruskal -Wallis test, Bonferroni correction for multiple comparison
Abstract
Socially significant diseases still remain a public health problem in the Russian Federation, and various departmental targeted programs have been approved to counteract these diseases. This article attempts to implement such a classification. As a result of cluster analysis, five clusters were identified. Among the constituent entities of the Russian Federation, clusters can be identified quite confidently in terms of the incidence of socially significant diseases (for most of these diseases, there are statistically significant differences between the identified clusters). The identified clusters also have a fairly noticeable geographical commonality: in general, the clusters are grouped according to the degree of remoteness from Moscow.
|
