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[Patterns of the SARS-CoV-2 epidemic spread in a megacity].
Akimkin, V G; Kuzin, S N; Semenenko, T A; Shipulina, O Yu; Yatsyshina, S B; Tivanova, E V; Kalenskaya, A V; Solovyova, I V; Vershinina, M A; Kvasova, O A; Ploskireva, A A; Mamoshina, M V; Elkina, M A; Klushkina, V V; Andreeva, E E; Ivanenko, A V.
  • Akimkin VG; Central Research Institute for Epidemiology.
  • Kuzin SN; Central Research Institute for Epidemiology.
  • Semenenko TA; National Research Centre for Epidemiology and Microbiology named after the honorary academician N.F. Gamaleya, Ministry of Health of Russian Federation.
  • Shipulina OY; Central Research Institute for Epidemiology.
  • Yatsyshina SB; Central Research Institute for Epidemiology.
  • Tivanova EV; Central Research Institute for Epidemiology.
  • Kalenskaya AV; Central Research Institute for Epidemiology.
  • Solovyova IV; Central Research Institute for Epidemiology.
  • Vershinina MA; Central Research Institute for Epidemiology.
  • Kvasova OA; Central Research Institute for Epidemiology.
  • Ploskireva AA; Central Research Institute for Epidemiology.
  • Mamoshina MV; Central Research Institute for Epidemiology.
  • Elkina MA; Central Research Institute for Epidemiology.
  • Klushkina VV; Central Research Institute for Epidemiology.
  • Andreeva EE; Office of the Federal Service for Supervision of Consumer Rights Protection and Human Well-Being in Moscow.
  • Ivanenko AV; Center for Hygiene and Epidemiology in the City of Moscow.
Vopr Virusol ; 65(4): 203-211, 2020 09 03.
Article in Russian | MEDLINE | ID: covidwho-859451
ABSTRACT
The purpose of the study is to analyze patterns demonstrated by the COVID-19 epidemic process in a megacity during the increase, stabilization and reduction in the incidence, and to evaluate the effectiveness of the epidemic prevention measures. MATERIALS AND

METHODS:

The comprehensive study incorporating epidemiological, molecular genetic and  statistical research methods was conducted to analyze the spread of SARS-CoV-2 in Moscow during the COVID- 19 pandemic. RESULTS AND

DISCUSSION:

It was found that the exponential growth in COVID-19 cases was prevented due to the most stringent control and restrictive measures deployed in Moscow to break the chains of SARS-CoV-2 transmission and due to people who were very disciplined in complying with the self-isolation rules. The  analysis of the dynamics in detection of new COVID-19 cases showed that in a megacity, the impact of social distancing and self-isolation would become apparent only after 3.5 incubation periods, where the maximum length of the period is 14 days. It was discovered that the detection frequency of SARS-CoV-2 RNA in relatively healthy population and its dynamics are important monitoring parameters, especially during the increase and stabilization in the COVID-19 incidence, and are instrumental in predicting the development of the epidemic situation within a range of 1-2 incubation periods (14-28 days). In Moscow, the case fatality rate was 1.73% over the observation period (6/3/2020-23/6/2020).

CONCLUSION:

The epidemiological analysis of the COVID-19 situation in Moscow showed certain patterns of the SARS-CoV-2 spread and helped evaluate the effectiveness of the epidemic prevention measures aimed at  breaking the routes of transmission of the pathogen.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Female / Humans / Male Country/Region as subject: Europa Language: Russian Journal: Vopr Virusol Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Female / Humans / Male Country/Region as subject: Europa Language: Russian Journal: Vopr Virusol Year: 2020 Document Type: Article