[Use of discriminant analysis for the integrated estimation of the activity of an epidemic process of tuberculosis and the efficiency of medical measures for its prevention].
Whether the discriminant analysis might be used for the integrated estimation of an epidemic process of tuberculosis and for the efficiency of medical measures at the interregional levels was studied. Out of the 8 earlier chosen epidemiological criteria, this analysis could identify 6 most important ones that yielded two canonically discriminant variables. Calculations indicated that over 90% of the whole dispersion of regions in the activity of an epidemic process of tuberculosis might be accounted for by Discriminant Variable One. Variable Two played an indirect role. Out of the 8 clinical criteria, repeated analysis could choose four ones that gave rise to one canonical discriminant variable. The latter provided an integrated estimation of the efficiency of medical measures. The accuracy of prediction of the belonging of regions to high and low epidemic intensity groups was 100%. The findings open up possibilities of designing a present-day tuberculosis epidemic surveillance system at the interregional and regional level.
Golubev
D N
DN
Kornachev
A S
AS
D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D016002:Discriminant Analysis; D006801:Humans; D012426:Russia / Q000453:epidemiology; D012800:Siberia / Q000453:epidemiology; D014376:Tuberculosis / Q000453:epidemiology* / Q000401:mortality / Q000517:prevention & control; D014397:Tuberculosis, Pulmonary / Q000453:epidemiology