Study of the Deep Processes of Covid-19 in Russia

Finding Ways to Identify Preventive Measures

Bibliographic Data

ID15512271
AuthorsAlexander P Anyutin (Institute of Radio Engineering and Electronics of the Russian Academy of Sciences, Fryazino Branch, 141190 Fryazino, Russia), Tatiana M Khodykina (0000-0002-9646-5595, Sechenov University), Ekaterina I Akimova (0000-0002-4910-0868, Sechenov University), E V Belova (0000-0002-0514-210X, Sechenov University), Ekaterina Shashina (0000-0002-5294-6813, Sechenov University), Denis V Shcherbakov (0000-0003-0226-9276, Sechenov University), V V Makarova (0000-0002-7213-4265, Sechenov University), Nadezhda N Zabroda (0000-0003-3913-552X, Sechenov University), Anna A Klimova (0000-0002-8939-9315, Sechenov University), Nina A Ermakova (0000-0002-9745-4265, Sechenov University), T S Isiutina-Fedotkova (0000-0001-8423-9243, Sechenov University), Yury V Zhernov (0000-0001-8734-5527, Russian Academy of Sciences, corresponding author), Р В Полибин (0000-0003-4146-4787, Sechenov University), Oleg V Mitrokhin (0000-0002-6403-0423, Sechenov University)
Year2022
Volume19
Issue22
Pages14714-14714
Publication date2022-11-09
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192214714
PMID36429433
OpenAlexW4308873193
LanguageEN
References cited33

The novel coronavirus disease 2019 (COVID-19) pandemic has had a huge impact on all areas of human life. Since the risk of biological threats will persist in the future, it is very important to ensure mobilization readiness for a prompt response to the possible emergence of epidemics of infectious diseases. Therefore, from both a theoretical and practical standpoint, it is currently necessary to conduct a thorough examination of the COVID-19 epidemic. The goal of this research is to investigate the underlying processes that led to the COVID-19 pandemic in Russia and to identify ways to improve preventive measures and ensure mobilization readiness for a quick response to potential COVID-19-like pandemics. This research will analyze the daily dynamics of the number of infection cases and the number of new lethal cases of COVID-19. We analyzed the daily number of new cases of COVID-19 infection N(d), the daily number of new lethal cases L(d), their percentage ratio L(d)/N(d) 100% in Russia for 2 years of the pandemic (from the beginning of the pandemic to 23 March 2022), the rate of increase and decrease of these indicators (dN(d)/dd and dL(d)/dd), as well as their spectra created on the basis of wavelet analysis. Wavelet analysis of the deep structure of the N(d) and L(d) wavelet spectra made it possible to identify the presence of internal cycles, the study of which makes it possible to predict the presence of days with the maximum number of infections and new deaths in a pandemic similar to COVID-19 and outline ways and methods for improving preventive measures and measures to ensure mobilization readiness for a rapid response to the potential emergence of pandemics similar to COVID-19

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Pandemic · Pathology · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Sociology · COVID-19 epidemiological studies · Demography · Healthcare Systems and Public Health · Medicine · Psychology · Yersinia bacterium, plague, ectoparasites research · Virology

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