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Introduction. Health care is characterized by the fact that it belongs to the major state functions and the main kinds of economic activity at the same time, as well as the fact that in contemporary conditions it provides dual-use products – use for both conventional and defense against the latest biothreats. In the course of reforming this state function in Ukraine, the main financing is provided through the National Health Service of Ukraine, where management changes relatively frequently. The purpose. Protection against biohazards, health care, health insurance requires systemic resilience and integrated management based on modern information and communication technologies. Such technologies for social insurance have been successfully developed and implemented by the V.M.Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. Results. A specific example of Zaporizhia region shows which health facilities are without proper government support and how to anticipate and manage distributed networks on big data. In all the above issues of protection against biohazards, health care, health insurance, government institutions cannot make rational decisions without comprehensive and accurate assessment of future gains (and losses) caused by the implementation of a particular project, as well as a comparison of such gains with the present value of costs associated with this project. It is important for decision makers to measure gains and costs in the same units applying the known principle «Who canʼt measure cannot manage». Since project costs are usually measured in monetary terms, it makes sense to measure all gains in monetary terms as well. Different approaches to economic assessment of health status compare the benefits from a medical intervention with the costs of that intervention. Conclusions. Gains from medical intervention can be measured in physical units on a one-dimensional scale, monetary units, units of cardinal utility function, reflecting the multidimensional concept of health via the scalar index or key performance indicator. Nowadays multiple dimensions mentioned are gradually developing into big data for each node and link of the health care grid. Keywords: biothreats, system resilience, social insurance, health insurance, big data, distributed networks.

Distributed information technologies developed at the NAS of Ukraine and routinely used (since 2015), with tens of thousands of users, requests and reports in real time, practically prove their ability to meet the needs of building resilient infrastructures. Cloud architectures with similar technologies simultaneously increase the resilience of cyberinfrastructures.

Network effects are determined by the influence of an additional user of a product or service on the value that other users attach to this product or service. Platforms are then defined as entities that connect economic agents, actively managing network effects among the digital copies (images) of those agents. Network effects are distinguished by their sources: such sources can be users of the only group or users of several groups. Because, on a digital platform, network effects are generated jointly by all users, regardless of the groups to which they belong, and interest in the platform increases when the volume of interaction this platform manages increases, it is difficult to distinguish between different sources of network effects. User participation in the platform and their application of platform features can be important because their active evaluation of products and services, together with information provided by user actions (for platforms that collect and apply big data), gives an understanding of those actions, allows providing better services by the platform or adding specific offers. When consumers search for a product, they face travel costs, price information costs, and product feature comparison costs. When suppliers are looking for a willing buyer, they incur travel costs and communication costs regarding their products. Intermediaries reduce transaction costs by centralizing the exchange. In the presence of a random-matching market, there are profitable opportunities for intermediaries to conduct centralized exchanges, since buyers and sellers are influenced by the type of their matching partner, and intermediation allows self-selecting for types of economic agents. Intermediated trade can partially or completely replace decentralized trade and lead to more socially efficient allocations.

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