Functioning principles of the network of biological risk monitoring of the Federal Medical and Biological Agency of Russia

Introduction. The activity aimed at biological risk monitoring (BRM) ensures timely response against emerging biological threats in order to prevent their negative impact on human health. The improvement and further development of the existing network of BRM of the Federal Medical and Biological Agency (FMBA) of Russia requires understanding of its functioning principles. Objective. Substantiation of the functioning principles of the BRM network in the entitled territories and organizations of the FMBA. Materials and methods. The study was conducted using the automated information system of the FMBA Center for BRM, which aggregates BRM data from the territories and organizations serviced by FMBA. The methods of systems analysis, reverse engineering, classical logic, analysis, synthesis, comparison, generalization, categorization, and classification were used. Results and discussion. A comprehensive study of the operating BRM network of FMBA was conducted. Its aims, objectives, functions, characteristics, and activities were examined. Using the method of reverse engineering, 19 key principles of the BRM network were substantiated. These principles were classified based on stratification of classes according to the types of activities that ensure the BRM network functioning as a complex organizational system. As a result, the principles were distinguished into informational and technological, organizational and managerial, and scientific and practical classes. Conclusions. The functioning principles of the MBR network in the territories and organizations serviced by the FMBA were identified, formulated, substantiated, and classified. These include the use of the systems approach, the principle of continuous monitoring and reporting, the principle of comprehensive information and analytical support, etc. The results obtained can be used as the basis for decision making when optimizing the technology of BRM monitoring by FMBA.