A model of a geoinformation system to support decision-making about the epizootic situation in a municipality

Abstract

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.