Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg

P. V. Gerasimenko
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Abstract

The author carried out the modeling of the dynamics of key integrated indicators for the COVID-19 outbreak in St. Petersburg, Russia. The dynamics of infection, recovery and mortality in the region was analyzed based on the monitoring data of the Coordination Council to control the incidence of the novel coronavirus infection in St. Petersburg. The analysis showed that it was possible to quickly make a shortterm forecast for the pandemic spread based on the polynomial regression of integral indicators. Through forecasting, administrative and sanitary institutions have the possibility to make suitable management decisions on the creation of normal conditions for maintaining the public health. For citation: Gerasimenko PV. Modeling the dynamics of key integrated indicators of the COVID-19 spread in St. Petersburg. City Healthсare. 2023;4(1): 83-89 doi: 10.47619/2713-2617.zm.2023.v.4i1;83-89.
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对圣彼得堡COVID-19传播关键综合指标的动态进行建模
对俄罗斯圣彼得堡新冠肺炎疫情关键综合指标动态进行建模。根据圣彼得堡控制新型冠状病毒感染发病率协调委员会监测数据,分析该地区感染、恢复和死亡率动态。分析表明,基于积分指标的多项式回归可以快速预测大流行的短期传播。通过预测,行政和卫生机构有可能就创造维持公共卫生的正常条件作出适当的管理决定。引文:Gerasimenko PV。对圣彼得堡COVID-19传播关键综合指标的动态进行建模。城市卫生с。2023;4(1): 83-89 doi: 10.47619/2713-2617.zm.2023.v. 411;83-89。
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