The paper describes a study that monitored the epidemiological situation of a complex of natural-focal diseases in the Vladimir region (Russia), from 1958 to 2012. The morbidity rates of these natural-focal diseases have been differentiated by territory using ArcView 3.1 (GIS software). The activity of natural foci for each zooanthroponosis varied between administrative districts in the region. A schematic map has been compiled; the map reflectsthe danger of infection caused by natural-focal diseases in the Vladimir region. The paperdiscusses the role of the anthropogenic factor in natural-ecosystem development: it likelypromotes the transit and localization rates of carriers. Correlation and regression analysis ofthe data showed that climatic factors such as the average temperatures in July and September in the preceding year influence Lyme disease (Lyme borreliosis) patterns. This is likely related to particular stages in the life cycle of Ixodidae ticks. Using multiple linear regression analysis, a mathematical model for the prediction of Lyme borreliosis patterns has been created.