Assessment of reduced respiratory diseases in the Moscow population morbidity as a result of the implementation of the best available technology

Abstract

AIM: To examine the potential for lowering respiratory diseases in the Moscow population as a result of the implementation of the best available technology at objects of the I and II categories of negative environmental impact.
 MATERIAL AND METHODS: The source data array was created by the authors using a parser script written in the Python computer language. The determination of the geographical coordinates of the location of industrial facilities and their territorial linkage to the administrative districts of the city of Moscow was carried out using the JavaScript API of the Yandex Geocoder. Regression and correlation analysis were used to determine the relationship between the morbidity indicators of the population of the city of Moscow and the indices of comparative non-carcinogenic danger. The mathematical processing of statistical data was carried out using the interpreted programming language R and the spatial territorial binding of negative impact on the environment objects was carried out using the ESRI ArcGIS Online geoinformation system.
 RESULTS: A significant relationship was found between the values of the comparative non-carcinogenic danger indices to the respiratory system (arising from the volume of emissions from objects in the I and II categories of negative environmental impact) and respiratory diseases for various age groups of the population of the city of Moscow (children up to 14 years old, adolescents from 15 to 17 years old, adults over 18 years old). The spearman's sp coefficient was 0.84 (p 0.05), indicating a significant correlation on the Chaddock scale. The Student's t-test index was higher than the critical one at the significance level =0.05. This study identified the potential for lowering the number of respiratory diseases in the population of Moscow, which varies in the range of 1.1%2.2% for children, 1.2%2.5% for adolescents, and 1.02.0 for adults, depending on the scenario for the implementation of the best available technologies at the facilities of the I and II categories of the negative environmental impact.
 CONCLUSION: As a result of the research, a mathematical model has been developed, which allows determining the values of the potential for reducing the incidence of the respiratory system with the implementation of the best available technologies. This can be used in the formation of regional and federal programs for socio-economic development.