Atmospheric air pollution is a major environmental and public health concern, particularly in industrialized regions. The East Kazakhstan Region exhibits high rates of oncological, cardiovascular, and respiratory diseases. However, the specific impact of industrial emissions on morbidity remains insufficiently studied. This study employed correlation and regression analyses using data on pollutant emissions and population morbidity indicators from 2014 to 2023. Correlation and regression methods, along with geoinformation technologies, were applied. A moderate positive correlation was found between industrial emission volumes and the incidence of neoplasms (r = 0.59, R² = 0.35), especially in areas with high concentrations of sulfur dioxide, nitrogen oxides, and particulate matter. The findings confirm the significant influence of polluted air—particularly mixed pollutants—on the increase in cancer-related diseases. The conclusions emphasize the urgent need to implement emission reduction measures, enhance environmental monitoring and disease prevention, and carry out further epidemiological research.

East Kazakhstan Region is one of Kazakhstan's most industrialised regions, where emissions of pollutants from stationary sources remain a significant environmental risk factor for public health. Assessing the link between the structure of industrial emissions and disease incidence makes it possible to identify priority areas for prevention and environmental management. The study was conducted based on official data on emissions of pollutants into the atmosphere from stationary sources (total volume, solid and gaseous/liquid components) and population morbidity indicators (neoplasms and diseases of the circulatory system) in five industrially loaded settlements in the East Kazakhstan region for 2020-2024. Spearman's rank correlation coefficient (rₛ) was used to assess the relationships, and statistical significance was assessed at p<0.05. The results were visualised using scatter plots. Statistically significant positive associations were found between the incidence of neoplasms and total emissions (rₛ=0.633; p<0.001), as well as gaseous/liquid components (rₛ=0.552; p0.05). For diseases of the circulatory system, a significant association was found only with solid emissions (rₛ= -0.405; p0.05) and gaseous/liquid components (rₛ = -0.285; p>0.05). A high correlation was noted between emission fractions (rₛ = 0.665-0.928; p < 0.001), indicating a common structure of industrial emissions. The data obtained confirm the existence of a statistically significant correlation between emissions from stationary sources and the incidence of neoplasms in industrially polluted settlements in the East Kazakhstan region in 2020–2024. Keywords: technogenic transformation, air pollution, anthropogenic load, health risk, East Kazakhstan.