REGRESSION DEPENDENCE OF THE INCIDENCE OF RESPIRATORY CANCER OF THE POPULATION OF KYIV AS A RESULT OF AIR POLLUTION WITH BENZOPYRENE

Abstract

Rapid improvement of modern industrial technologies and automobile transport led to important qualitative and quantitative changes in the composition and volumes of harmful emissions into the atmosphere. Impact of a number of harmful anthropogenic factors, including carcinogens, in particular, benzopyrene may cause the development of oncologic diseases. Determination of the regression dependence of the respiratory cancer incidence rate on the pollution of the atmospheric air with benzopyrene is relevant scientific-technical problem. Objective of the given research is determination of the regression dependence of the respiratory cancer incidence rate of the population on the pollution of the atmospheric air with benzopyrene, it can be used for the prediction of the incidence rate of the disease. In the process of the research method of regression analysis of the results of single-factor experiments and other paired dependences with the usage of the rational type of function from sixteen most widely-used variants by the criterion of maximum value of the correlation factor was used. Regression was performed on the base of linearized transformations, which enable to reduce non-linear dependence to linear one. Determination of the coefficients of the regression equations was carried out, applying the method of the least squares with the help of the developed computer program "RegAnaliz", protected by the Certificate of state registration of the right to the copyright object. Adequate regression hyperbolic dependence of the respiratory cancer incidence rate of the population on the pollution of the atmospheric air with benzopyrene was obtained, it can be used for the prediction of such incidence rate. Graphic interpretation of the dependence of respiratory cancer incidence rate of the population on the pollution of the atmospheric air with benzopyrene was constructed, which enables to illustrate this dependence and show the sufficient coincidence of theoretical results with actual.