Abstract
Drawing conclusions about the coronavirus infection risks and real-time decision-making is a primary duty of health-care professionals. The agent-based modeling of events allows look closely at expectable hazards and paths of immediate infection as the grounds for planning personal tactics of infection prevention. The event modeling transforms verbal information (objects, relations, factors etc.) in constructs of knowledge for computer analysis of COVID-19 contagion. The knowledge constructs or information ontology may be helpful to health-care professionals in bringing to people of risky occupations true information of hazards and validity of the existing rules and regulations.
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