No abstract

A large number of sensors are used to monitor the environment, and a large volume of spatio-temporal data on epizootic risks and the environment is processed in real time. To date, GIS data models are represented by static models and more modern time models. However, many of the epizootological and environmental data management systems do not meet the requirements of real-time data management. The purpose of the work is to propose, based on the analysis of foreign literature sources, a modern method for managing epizootological and environmental data based on a new GIS model in real time in comparison with the Sensor web service model.Two experiments were conducted in the urban environment and on the territories of livestock farms with different epizootic situations for potential risk management in zoonoses. Real-time monitoring of air quality and real-time monitoring of soil moisture was carried out in Wuhan (China). The circulation of pathogens of zoonoses and sapronoses in the environment, including in the soil, and their preservation in the form of spores and hard-to-cultivate forms, determines the ecological component of emergent epizootics and epidemics with the coverage of new areas. Experimental results have shown that the use of the proposed GIS data model on the Sensor web service platform for managing epizootological/epidemiological and environmental data in real time is reliable and effective.

An unfavorable epizootic situation for dangerous infectious diseases requires epizootic monitoring, risk analysis of the introduction and spread of the disease using modern forecasting tools, in particular the use of geoinformation technologies for making management decisions at the level of a subject of the Russian Federation or a municipality. The purpose of the study is to create a model of a geoinformation system to support decision-making about the epizootic situation in a municipality. The analysis of the main directions of the use of geoinformation systems in municipal management is carried out. Five main stages of epizootological analysis of information (system levels) in their logical sequence are considered. At the level of the local government administration, there is an information space containing a display of epizootically significant events taking place in the region, which allows using criteria-based methods of fuzzy description of the information array using electronic maps to determine trends and directions of development of the epizootic situation with an assessment of its intensity by specific indicators (criteria). An algorithm for making managerial decisions in the detection of infectious animal diseases, including African swine fever (ASF), at the municipal level is proposed. A roadmap based on the use of a geoinformation decision-making system with subsequent visualization of the strategic plan for the development of a complex of anti-epizootic measures in ASF is presented. It is possible to use the information obtained to analyze the stability of the information space within the jurisdiction of local self-government. When it comes out of a state of stability, the decision support system forms a request to the state information resource in order to clarify the project of control actions recommended by the local administration. The proposed system allows you to generate queries automatically, clarifying and forming a cartographic representation of the current epizootic situation for the specified territory.