Abstract:
The COVID-19 pandemic is a global human-scale emergency that has caused many negative effects. To mitigate them, it is necessary to take competent and well-founded organizational measures. Considering infectious diseases from a mathematical point of view allows solving problems in various spheres of society, studying possible scenarios, identifying epidemiological evolution patterns, and proposing intervention strategies and epidemic control options. This paper presents a mathematical model for forecasting opinion dynamics on various socially significant issues, in particular, on the introduction of epidemic safety measures in a pandemic. The model reflects the process of information exchange considering the content of disseminated information and the communicative properties of the social system and its elements (connectivity, susceptibility, and sociability).
Keywords:social system, process modeling, informational control, distribution of opinions, anti-epidemic measures.
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