Registration Number
0221U102030,
0120U105068
, R & D reports
Title
Computer simulations and theoretical approaches for the description of COVID-19 infection spread: a role of spatial inhomogeneity of population, heterogeneity of social contact network and social response
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Head
Ilnytskyi Yaroslav M., Доктор фізико-математичних наук
Registration Date
27-01-2021
Organization
Institute of Condensed Matter Physics of the National Academy of Sciences of Ukraine
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During the reporting period, the necessary bases for the implementation of the project objectives were put: the choice of models, methods of their study and obtaining the first results. A compartmental epidemiological model SEIRS is proposed, which takes into account the main features of the spread of COVID-19, which is studied by analytical and numerical methods with an emphasis on implementation of algorithms considering a reduction of quarantine restrictions. The approaches of statistical physics for complex systems have been adapted and developed to study the processes of disease spread using the SI, SIS and SIR models of a system of agents interconnected into different topologies on a two-dimensional lattice. The heterogeneity of the activity of social contacts is modeled using the Ising-like model for ordering spins of variable lengths on different types of interaction networks. We reviewed potential sources of data on scientific publications to study the response of the scientific community to the epidemic, and developed corresponding algorithmic and software components to work with such sources.
Product Description
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Ilnytskyi Yaroslav M
Blavatska Viktoria B
Krasnytska Mariana B
Mryglod Olesia I
Patsahan Taras M
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2021-01-27
