Medical Transdisciplinary Cluster Development for Multivariable COVID-19 Epidemiological Situation Modeling

Abstract

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.