TY - JOUR

T1 - еопространственный анализ зоны распространения туберкулеза в Санкт-Петербурге и Ленинградской области

AU - Kuznetsov, I.S.

N1 - Conference code: 31

PY - 2025

Y1 - 2025

N2 - Tuberculosis, being an aerogenic and socially significant disease, can act as a model when choosing methods for spatial assessment of the spread of other airborne diseases (such as COVID-19, etc.). The modern tuberculosis service in Russia is based on the territorial principle: one or more tuberculosis institutions are assigned to one administrative unit, whose tasks include conducting an epidemiological assessment of the spread of diseases in the territory. Data exchange between neighboring territories is limited. This makes it difficult to conduct interdisciplinary research for the territories of agglomerations. The purpose of this study was to primarily study the spatial features of the spread of tuberculosis in the territories of the agglomeration of St. Petersburg and the Leningrad Region, as well as to determine the risk areas for the spread of tuberculosis. The Federal Register of Tuberculosis Patients of two subjects was used as a source of information on tuberculosis cases. Information about patients included both newly diagnosed cases and recurrences of tuberculosis. A hypothesis has been put forward about the existence of “hidden” risk territories on the border of St. Petersburg, associated with the metropolis, but administratively located in the Leningrad Region. The main method of determining risk territories was the spatial autocorrelation method based on the Moran index. Software data processing was performed using open source software products (NextGIS, GeoDa). In the end, the territories of potential risk of tuberculosis spread were identified from among the municipalities of the St. Petersburg agglomeration and the spatial relationship between the territories with different indicators in absolute cases of tuberculosis was determined. © 2025 Lomonosov Moscow State University. All rights reserved.

AB - Tuberculosis, being an aerogenic and socially significant disease, can act as a model when choosing methods for spatial assessment of the spread of other airborne diseases (such as COVID-19, etc.). The modern tuberculosis service in Russia is based on the territorial principle: one or more tuberculosis institutions are assigned to one administrative unit, whose tasks include conducting an epidemiological assessment of the spread of diseases in the territory. Data exchange between neighboring territories is limited. This makes it difficult to conduct interdisciplinary research for the territories of agglomerations. The purpose of this study was to primarily study the spatial features of the spread of tuberculosis in the territories of the agglomeration of St. Petersburg and the Leningrad Region, as well as to determine the risk areas for the spread of tuberculosis. The Federal Register of Tuberculosis Patients of two subjects was used as a source of information on tuberculosis cases. Information about patients included both newly diagnosed cases and recurrences of tuberculosis. A hypothesis has been put forward about the existence of “hidden” risk territories on the border of St. Petersburg, associated with the metropolis, but administratively located in the Leningrad Region. The main method of determining risk territories was the spatial autocorrelation method based on the Moran index. Software data processing was performed using open source software products (NextGIS, GeoDa). In the end, the territories of potential risk of tuberculosis spread were identified from among the municipalities of the St. Petersburg agglomeration and the spatial relationship between the territories with different indicators in absolute cases of tuberculosis was determined. © 2025 Lomonosov Moscow State University. All rights reserved.

KW - cartography

KW - geodata in medicine

KW - geoinformation mapping

KW - medical geography

KW - medical GIS

U2 - 10.35595/2414-9179-2025-3-31-73-81

DO - 10.35595/2414-9179-2025-3-31-73-81

M3 - статья в журнале по материалам конференции

VL - 31

SP - 73

EP - 81

JO - ИНТЕРКАРТО/ИНТЕРГИС

JF - ИНТЕРКАРТО/ИНТЕРГИС

SN - 2414-9179

IS - 3

T2 - XXXI международная конференция ИНТЕРКАРТО. ИНТЕРГИС «Геоинформационная поддержка устойчивого развития социоприродных систем»

Y2 - 6 October 2025 through 11 October 2025

ER -