流行病学安全视角下基于统计数据的相似对象分级广义评价数学模型(以伏尔加河联邦区地区新冠肺炎疫情为例)

V. Karaulov, L. V. Karaulova, E. Karanina
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引用次数: 1

摘要

本文介绍了俄罗斯联邦各地区COVID-19发病率综合评估的构建。数学模型包括相对发病率指标的归一化,可以比较不同地区的发病率和发病率的变化程度。根据制定的流行病学安全和疾病传播风险量表,对伏尔加河联邦区受试者的疾病水平和COVID-19传播进行了评估。该研究的相关性在于,按地区对COVID-19发病率进行比较分析是目前确定疾病传播/局部因素、评估措施有效性和制定应对疾病传播措施体系的主要条件之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Model of Generalized Assessment of the Rating of Similar Objects Based on Statistical Data from the Standpoint of Epidemiological Safety (on the Example of the Incidence of COVID-19 in the Regions of the Volga Federal District)
Th e article describes the construction of a generalized assessment of the incidence of COVID-19 in the regions of the Russian Federation. Th e mathematical model includes normalization of relative morbidity indicators, which allows comparing the incidence rate in diff erent regions and the degree of change in morbidity. Based on the developed scale of epidemiological safety and the risk of disease spread, the assessment of the level of disease and the spread of COVID-19 in the subjects of the Volga Federal District is carried out.The relevance of the study is due to the fact that a comparative analysis of the incidence of COVID-19 by region is currently one of the main conditions for identifying factors in the spread/localization of the disease, assessing the eff ectiveness of eff orts and developing a system of measures to counter the spread of the disease.
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