It is known that the emergence and regional spread of diseases among the population depends directly on the natural and socio-economic conditions, especially the ecological condition of the environment. The emergence of such a nosoecological situation is leading to the emergence and geographical spread of many diseases in some regions. Circulatory system, malignant tumors, respiratory diseases, infectious diseases are among the leading causes of death among the population. In the natural and

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... ial environment, there are natural-social foci that cause various diseases. Research works such as their identification, description, mapping are based on the system of taxonomic units of local natural geographical conditions, relief structure, microclimate, hydrochemical and geochemical properties of surface, groundwater and soil, flora and fauna, landscape complexes, as well as socio-economic and social. Can be done by analyzing the impact of demographic factors. Nosogeographic complexes are a regional combination of various diseases that occur in a certain natural geographical and socio-economic, social environment, under their influence. Unless we study the anomalies from an ecological point of view, we cannot solve the problem [1] . Proposed Method and Scientific Approaches to Provide a Scientific Solution to the Problem At the same time, medical geographical atlases created by MSU scientists are taken as a sample, maps are used conditional symbols, colors selected in accordance with the essence of the content, cartographic methods reflecting diseases. Geoinformation technologies (ArcGIS, QGIS, Mapinfo) were used. Through the constant complementarity of databases based on GAT technologies, the work of creating maps, plans, their processing and data integration was considered, and databases were rapidly formed using new cost-effective methods. The proposed medical geographical atlas was considered cost-effective, not inferior to foreign analogues. The research process also used methods such as field research and aerospace, cartographic, mathematical modeling, statistical analysis, geographic information systems.