改进的描述COVID-19疫情的SEIRD模型

A. Klymenko, G. Podkolzin
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引用次数: 0

摘要

本文致力于流行病学中的数学模型,特别是SIR、SEIR和SEIRD模型。探讨了这些模型在预测传染病传播和评估控制措施有效性方面的重要性。这些模型允许评估重要的流行病参数,如感染传播速度、感染人数和死亡人数。这些数据有助于就实施和解除检疫限制、开放和关闭学校和其他机构以及制定疫苗接种战略和其他控制措施作出决定。总之,SIR、SEIR和SEIRD等数学模型是防治流行病的重要工具。它们使流行病学家和医疗专业人员能够预测和控制疾病的传播,从而保护人们的健康和生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified SEIRD model for describing the COVID-19 epidemic
This article is devoted to mathematical models in epidemiology, in particular SIR, SEIR, and SEIRD models. It explores the importance of these models in predicting the spread of infectious diseases and evaluating the effectiveness of control measures. These models allow for assessing important epidemic parameters such as the speed of infection transmission, the number of people infected, and the number of deaths. This data can help in making decisions regarding the imposition and lifting of quarantine restrictions, opening and closing of schools and other institutions, as well as in developing vaccination strategies and other control measures. In summary, mathematical models such as SIR, SEIR, and SEIRD are important tools in the fight against epidemics. They enable epidemiologists and medical professionals to predict and control the spread of diseases, thus preserving the health and lives of people.
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