Open AccessMETHODS OF MULTIDIMENSIONAL STATISTIC PROCESSING OF DATA APPLIED TO FIND REGULARITIES IN THE COURSE OF TUBERCULOSIS IN SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS
Author(s) -
Ivan O. Meshkov,
О. В. Ревякина,
В. А. Краснов,
Я. Ш. Шварц,
Т. И. Петренко
Publication year - 2018
Publication title -
tuberkulez i bolezni lëgkih/tuberkulëz i bolezni lëgkih
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 12
eISSN - 2542-1506
pISSN - 2075-1230
DOI - 10.21292/2075-1230-2018-96-6-30-37
Subject(s) - statistic , tuberculosis , principal component analysis , population , statistics , principal (computer security) , geography , computer science , medicine , environmental health , mathematics , computer security , pathology
The article presents results of multi-dimensional analysis of 83 rates, calculated on the basis of federal and sectoral reports on tuberculosis in 21 regions of Siberian and Far Eastern Federal Districts, which were collected from 2006 to 2016. For statistic processing of data, a distance matrix was used with its consecutive analysis by principal coordinates analysis, which allowed detecting the closest correlations between rates. It has been proved that main factors of successful tuberculosis control are the following: improvement of the organizational quality of treatment and diagnostics, provision with qualified medical personnel, early detection through expansion of coverage of population with fluorography screening. The principal coordinates method also allowed performing a multilateral evaluation of epidemic situation in all regions and defining the ones with the most favorable tuberculosis situation.