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

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...

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Main Author: P. V. Gerasimenko
Format: Article
Language:Russian
Published: Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department 2023-03-01
Series:Здоровье мегаполиса
Subjects:
Online Access:https://www.city-healthcare.com/jour/article/view/99
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author P. V. Gerasimenko
author_facet P. V. Gerasimenko
author_sort P. V. Gerasimenko
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2713-2617
language Russian
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publisher Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department
record_format Article
series Здоровье мегаполиса
spelling doaj-art-a126125cebec43a4a4fb3e8055ebd46c2025-08-20T03:42:37ZrusResearch Institute for Healthcare Organization and Medical Management of Moscow Healthcare DepartmentЗдоровье мегаполиса2713-26172023-03-0141838910.47619/2713-2617.zm.2023.v.4i1;83-8998Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. PetersburgP. V. Gerasimenko0Emperor Alexander I St. Petersburg State Transport UniversityThe 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.https://www.city-healthcare.com/jour/article/view/99pandemiccovid-19regression modelkey integrated indicatorsforecast
spellingShingle P. V. Gerasimenko
Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
Здоровье мегаполиса
pandemic
covid-19
regression model
key integrated indicators
forecast
title Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
title_full Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
title_fullStr Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
title_full_unstemmed Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
title_short Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg
title_sort modeling the dynamics of key integrated indicators for the covid 19 spread in st petersburg
topic pandemic
covid-19
regression model
key integrated indicators
forecast
url https://www.city-healthcare.com/jour/article/view/99
work_keys_str_mv AT pvgerasimenko modelingthedynamicsofkeyintegratedindicatorsforthecovid19spreadinstpetersburg