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Simulation of COVID-19 Spread Scenarios in the Republic of Kazakhstan Based on Regularization of the Agent-Based Model

We propose an algorithm for modeling scenarios for newly diagnosed cases of COVID-19 in the Republic of Kazakhstan. The algorithm is based on treating incomplete epidemiological data and solving the inverse problem of reconstructing the parameters of the agent-based model (ABM) using the set of avai...

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Detalles Bibliográficos
Autores principales:	Krivorotko, O. I., Kabanikhin, S. I., Bektemesov, M. A., Sosnovskaya, M. I., Neverov, A. V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Pleiades Publishing 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184641/ http://dx.doi.org/10.1134/S1990478923010118

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