基于agent模型的莫斯科COVID-19发病率数学模型

V. V. Vlasov, A. M. Deryabin, O. V. Zatsepin, G. D. Kaminsky, E. V. Karamov, A. L. Karmanov, S. N. Lebedev, G. N. Rykovanov, A. V. Sokolov, M. A. Teplykh, A. S. Turgiyev, K. E. Khatuntsev
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引用次数: 0

摘要

2019冠状病毒病大流行的爆发使俄罗斯和全世界的公共卫生系统处于紧急状态,这就需要开发预测大流行进展和评估潜在干预措施的工具。在当今的背景下,数值模拟被积极地用于解决这类问题。本文考虑了基于agent的covid -19特大城市模型。该模型于2020年开发,并在随后的几年中进一步完善。该模型的功能包括描述几种病毒株的同时传播,并考虑到疫苗接种和人口活动的数据。模型参数是根据每日新诊断病例数的统计数据计算的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Mathematical Modelling of COVID-19 Incidence in Moscow with an Agent-Based Model

The outbreak of the COVID-19 pandemic created an emergency situation in the public health system in Russia and in the world, which entailed the need to develop tools for predicting the progression of the pandemic and assessing the potential interventions. In the present day context, numerical simulation is actively used to solve such problems. The paper considers a COVID-19 agent-based megalopolis model. The model was developed in 2020 and was further refined in subsequent years. The capabilities of the model include the description of simultaneous spread of several virus strains and taking into account data on vaccination and population activity. The model parameters are calculated using statistical data on the daily number of newly diagnosed COVID-19 cases.

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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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