Control and minimization of allergenic plants impact on bronchial asthma morbidity, based on spatial-temporal data model

摘要

Control and development of priority measures to minimize the impact of allergenic plants on the state of morbidity, caused by asthma are one of the most common and complex problems for public health in modern cities. Bronchial asthma in humans occurs because of aggregation of various factors, the nature of which varies in time and space. So, we should use spatial-temporal data model for formalization of this problem, but typical data formalization methods and data processing methods need to be improved, taking into consideration the peculiarities of impact, especially of allergenic plants and weather conditions on people in a city. The paper shows a new approach to unified in time and optimal by discretization in space data formalization, concerning the main factors that form the conditions for the emergence of bronchial asthma. The example of such analysis was given, which illustrated the efficiency of the proposed information model and the method of its processing.