The paper proposes to solve the relevant problem of providing public access to scientific and technical information about coronavirus infection by means of cognitive tools for the formation of network-centric management system of distributed processes of accumulation, systematization, storage and presentation of various knowledge-oriented resources, namely medical transdisciplinary cluster that will present current COVID-19 data. It will be harmoniously integrated and synchronized in content with other multilingual information resources and network digital arrays based on interoperability protocols of interaction to form a holistic view of the pandemic. The developed knowledge system will provide organization, processing, analysis and visualization of data and information that extend the methods of COVID-19 research, including prognostic modelling based on the principles of mathematical epidemiology taking into account regional, age and other features of the epidemic process.