EPIDEMIOLOGICAL ANALYSIS OF THE MORBIDABILITY OF TICKLING VIRAL ENCEPHALITIS OF RURAL POPULATION OF THE SIBERIAN FEDERAL DISTRICT

Aim. Is to study the characteristics of the epidemic process of tick-borne viral encephalitis in rural areas of Western Siberia within the Siberian Federal District. Materials and Methods. The paper presents the results of a long-term epidemiological analysis of the morbidity of the rural population of endemic regions of the Siberian Federal District with tick-borne viral encephalitis in 2000-2017. As materials, data from regional structures of ma-nagement of the health system, regional departments of the Federal Service for Consumer Rights Protection and Human Welfare, the Federal State Statistics Service for the period from 2000 to 2017 were used. The absolute and relative indicators, average values (X), errors of representativeness (±m), the measure of the reliability of differences in values (p), the calculation of the Fisher criterion (f). Statistical data processing was carried out in the program Statistica 12.0. Results. In the course of the study, the leading predictors involved in the formation of tick-borne viral encephalitis morbidity indicators for the rural population of the Siberian federal district were identified: virus infection of tick-borne viral encephalitis mites (r=0.66; p<0.001), area of acaricidal treatments of the territory (r=-0.44; p<0.001), the immune layer of the population (r=-0.43; p<0.001). An analysis of the cartogram of the spatial distribution of the incidence of tick-borne viral encephalitis allowed us to identify the regions with the highest potential risk of developing the disease among the rural population. Conclusion. The need to identify factors that influence the formation of the dynamics of the epidemic process of tick-borne encephalitis is due to changing environmental conditions and increased activity of natural foci of infection. The analysis made it possible to establish the leading predictors that determine the endemicity of the regions of the Siberian Federal District. The data obtained will contribute to more efficient and rational planning of preventive measures.