2 research outputs found
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠΈΠ² Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π Π½Π° ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π΄Π΅Π»ΡΡΠ° Π² ΡΠ½Π΄Π΅ΠΌΠΈΡΠ½ΠΎΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π΅
Mass vaccination against hepatitis B has led to a decrease in the prevalence of the hepatitis B virus (HBV), as well as to a decrease in the spread of another related pathogen, the hepatitis delta virus (HDV). However, the incidence of hepatitis D persists and, moreover, its level remains stable among HBsAg-positive individuals even in countries where this infection was assumed to be rare. The aim of the study was to assess the impact of mass vaccination against hepatitis B on the circulation of the hepatitis D virus in the region hyperendemic for these infections (Tyva Republic). Material and methods. Samples of blood serum (n=1154), obtained from a conditionally healthy residents of Tyva Republic at the age from 0 to over 60 years old, were tested for HBsAg, anti-HBc and anti-HDV using commercially available ELISA kits. Results. The rates of HBsAg detection in general population in Tyva Republic was determined to be 8.2% (95/1154), anti-HBc - 46.2% (531/1154) and anti-HDV - 2.3% (27/1154). The highest rate of HBsAg detection was observed in adolescents aged 15-19 years (17.6%), with the lowest rate of HBsAg in the infants under 1 year (2.3%). The highest anti-HBc detection rates (81.3%) was detected individuals over 60 years, the lowest (3.7%) - in children of 1-7 years. The prevalence of anti-HDV among HBsAg-positive individuals was 28.4% (27/95). No cases of anti-HDV positivity was detected in children of age 0-7 years, who were born after the implementation of universal newborn vaccination against hepatitis B. Conclusions. This is a population based evidence for effective prevention of HDV circulation in an endemic region by mass vaccination against hepatitis B.ΠΠ»Π°Π½ΠΎΠ²Π°Ρ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΡΠΈΠ² Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π (ΠΠ) ΠΏΡΠΈΠ²Π΅Π»Π° ΠΊ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΠΈ Π²ΠΈΡΡΡΠ° Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π (ΠΠΠ), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ Π΅ΡΠ΅ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠ³ΠΎ Ρ Π½ΠΈΠΌ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π°, Π²ΠΈΡΡΡΠ° Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π΄Π΅Π»ΡΡΠ° (ΠΠD). ΠΠ΄Π½Π°ΠΊΠΎ ΠΏΠΎ-ΠΏΡΠ΅ΠΆΠ½Π΅ΠΌΡ Π²ΡΡΠ²Π»ΡΡΡΡΡ ΡΠ»ΡΡΠ°ΠΈ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° D (ΠD), Π±ΠΎΠ»Π΅Π΅ ΡΠΎΠ³ΠΎ, ΡΠ°ΡΡΠΎΡΠ° Π΅Π³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Ρ HBsAg-ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΡΡ
Π»ΡΠ΄Π΅ΠΉ ΠΎΡΡΠ°Π΅ΡΡΡ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΠΉ Π΄Π°ΠΆΠ΅ Π² ΡΡΡΠ°Π½Π°Ρ
, Π³Π΄Π΅ ΡΡΠ° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ ΡΡΠΈΡΠ°Π΅ΡΡΡ ΡΠ΅Π΄ΠΊΠΎΠΉ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠΈΠ² Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π Π½Π° ΡΠΈΡΠΊΡΠ»ΡΡΠΈΡ Π²ΠΈΡΡΡΠ° Π³Π΅ΠΏΠ°ΡΠΈΡΠ° D Π² Π³ΠΈΠΏΠ΅ΡΡΠ½Π΄Π΅ΠΌΠΈΡΠ½ΠΎΠΌ ΠΏΠΎ ΡΡΠΈΠΌ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π΅ (Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ° Π’ΡΠ²Π°). ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. 1154 ΠΎΠ±ΡΠ°Π·ΡΠ° ΡΡΠ²ΠΎΡΠΎΡΠΎΠΊ ΠΊΡΠΎΠ²ΠΈ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΎΡ ΡΡΠ»ΠΎΠ²Π½ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’ΡΠ²Π° Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 0 Π΄ΠΎ 60 Π»Π΅Ρ ΠΈ ΡΡΠ°ΡΡΠ΅, ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π½Π° ΠΌΠ°ΡΠΊΠ΅ΡΡ ΠΠ (HBsAg, Π°Π½ΡΠΈ-ΠΠΡ) ΠΈ ΠD (Π°Π½ΡΠΈ-ΠΠD). Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΈ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ»ΠΎΠ²Π½ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π»ΡΠ΄Π΅ΠΉ HBsAg ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Π² 8,2% (95/1154), Π°Π½ΡΠΈ-HBc - Π² 46,2% (531/1154) ΠΈ Π°Π½ΡΠΈ-ΠΠD - Π² 2,3% (27/1154) ΡΠ»ΡΡΠ°Π΅Π². ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ ΡΠ°ΡΡΠΎΡΠ° Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ HBsAg (17,6%) ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° Π² Π³ΡΡΠΏΠΏΠ΅ ΠΏΠΎΠ΄ΡΠΎΡΡΠΊΠΎΠ² 15-19 Π»Π΅Ρ, Π½Π°ΠΈΠΌΠ΅Π½ΡΡΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ - Π² Π³ΡΡΠΏΠΏΠ΅ ΠΌΠ»Π°Π΄Π΅Π½ΡΠ΅Π² Π΄ΠΎ 1 Π³ΠΎΠ΄Π° (2,3%). ΠΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½Π°Ρ ΡΠ°ΡΡΠΎΡΠ° Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π°Π½ΡΠΈ-ΠΠΡ - Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΡΡΠ°ΡΡΠ΅ 60 Π»Π΅Ρ (81,3%), ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½Π°Ρ (3,7%) Π² Π³ΡΡΠΏΠΏΠ΅ Π΄Π΅ΡΠ΅ΠΉ ΠΎΡ 1 Π³ΠΎΠ΄Π° Π΄ΠΎ 7 Π»Π΅Ρ. Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ Π°Π½ΡΠΈ-ΠΠD ΡΡΠ΅Π΄ΠΈ HBsAg-ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π»ΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 28,4% (27/95). Π‘ΡΠ΅Π΄ΠΈ Π΄Π΅ΡΠ΅ΠΉ ΠΎΡ 0 Π΄ΠΎ 7 Π»Π΅Ρ, ΡΠΎΠ΄ΠΈΠ²ΡΠΈΡ
ΡΡ ΠΏΠΎΡΠ»Π΅ Π½Π°ΡΠ°Π»Π° ΠΏΠ»Π°Π½ΠΎΠ²ΠΎΠΉ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΠΈ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠΈΠ² Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π, Π½Π΅ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ Π½ΠΈ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠ»ΡΡΠ°Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π°Π½ΡΠΈ-ΠΠD. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΠ°Ρ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π»Π΅Π½Π΄Π°ΡΡ ΠΏΡΠΈΠ²ΠΈΠ²ΠΎΠΊ ΠΏΠ»Π°Π½ΠΎΠ²Π°Ρ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΡ ΠΏΡΠΎΡΠΈΠ² ΠΠ ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ°Π΅Ρ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ ΠΠD Π΄Π°ΠΆΠ΅ Π² ΡΠ½Π΄Π΅ΠΌΠΈΡΠ½ΠΎΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π΅ ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π΅Π΄ΠΈΠ½ΡΡΠ²Π΅Π½Π½ΡΠΌ Π΄Π΅ΠΉΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠΌ Π΄Π»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ
Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ ΠΏΠΎ COVID-19 Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π² 2020 Π³.
Background.The COVID-19 epidemic in the Russian Federation, which began in March 2020, caused serious damage to health of the population and led to severe economic losses. By December 28, 2020, 3 078 035 cases of COVID-19 and 55 265 lethal outcomes were registered in the country. The population of all territorial subjects of the country is involved in the epidemic process of COVID-19. The severe epidemiological situation made it necessary to conduct an analysis to identify the factors that determine the high intensity of the epidemic process, as well as the population groups with the highest risk of SARS-CoV-2 infection.
Aims to study the patterns of SARS-CoV-2 spread and the epidemiological features of the initial stage of the COVID-19 pandemic in the Russian Federation in 2020.
Methods.An epidemiological analysis of the COVID-19 situation in the Russian Federation was carried out to determine the dynamics of morbidity, the gender proportion and age structure of patients, the proportion of hospitalized patients, the ratio of various forms of infection, the social and professional status of patients. Standard methods of descriptive statistics Microsoft Excel and STATISTICA 12.0 (StatSoft, USA) were used for statistical processing. The mean values were estimated with a 95% confidence interval [95% CI] (the exact Klopper Pearson method).
Results.During the observation time (2020), several periods were identified in the dynamics of the new COVID-19 cases detection: the period of importation of SARS-CoV-2 and the increase in morbidity, the period of epidemic decline, the period of autumn growth, the period of sustained high incidence of COVID-19. It was found that people over 70 years of age are the group with the highest risk of infection and a more severe course of COVID-19. The presence of target contingents among social and professional groups of the population, which should include medical workers, retired person, employees of educational institutions, law enforcement agencies, transport, who require special attention and medical and social support, was shown.
Conclusions.The analysis showed that the large-scale spread of COVID-19 requires in-depth epidemiological studies and the development of additional disease control measures, taking into account the dynamics of the incidence of this socially significant infection.ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅.ΠΠΏΠΈΠ΄Π΅ΠΌΠΈΡCOVID-19Π²Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, Π½Π°ΡΠ°Π²ΡΠΈΡΡΠ²ΠΌΠ°ΡΡΠ΅ 2020 Π³., Π½Π°Π½Π΅ΡΠ»Π° ΡΠ΅ΡΡΠ΅Π·Π½Π΅ΠΉΡΠΈΠΉ ΡΡΠ΅ΡΠ± Π·Π΄ΠΎΡΠΎΠ²ΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡΠΈΠΏΡΠΈΠ²Π΅Π»Π°ΠΊΡΡΠΆΠ΅Π»ΡΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΠΎΡΠ΅ΡΡΠΌ.Π28 Π΄Π΅ΠΊΠ°Π±ΡΡ 2020 Π³.Π²ΡΡΡΠ°Π½Π΅ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ 3 078 035 ΡΠ»ΡΡΠ°ΡCOVID-19ΠΈ55 265 Π»Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ².ΠΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡCOVID-19 Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ Π²ΡΠ΅Ρ
ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ. Π’ΡΠΆΠ΅Π»Π°Ρ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠΈΡΡΠ°ΡΠΈΡΠ²ΡΡΡΠ°Π½Π΅ ΠΎΠ±ΡΡΠ»ΠΎΠ²ΠΈΠ»Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π°Π½Π°Π»ΠΈΠ·Π°ΡΠ²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΡ
Π²ΡΡΠΎΠΊΡΡ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°,Π°ΡΠ°ΠΊΠΆΠ΅ Π³ΡΡΠΏΠΏ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡΡΠ½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΠΈΡΠΊΠΎΠΌ ΠΈΠ½ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΡSARS-CoV-2.
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ·ΡΡΠΈΡΡ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡSARS-CoV-2ΠΈΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΏΠ° ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈCOVID-19Π²Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈΠ²2020 Π³.
ΠΠ΅ΡΠΎΠ΄Ρ.ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠΈΡΡΠ°ΡΠΈΠΈΠΏΠΎCOVID-19Π²Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈΡΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ, Π³Π΅Π½Π΄Π΅ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠΏΠΎΡΡΠΈΠΈΠΈΠ²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²ΡΠΈΡ
, ΡΠ΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π΅ΡΠ° Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΡΠΌ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎΠΈΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° Π·Π°Π±ΠΎΠ»Π΅Π²ΡΠΈΡ
.ΠΠ»ΡΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Microsoft ExcelΠΈSTATISTICA 12.0 (StatSoft, Π‘Π¨Π). Π‘ΡΠ΅Π΄Π½ΠΈΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈΡΡΡΠ΅ΡΠΎΠΌ 95% Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Π° [95% ΠΠ] (ΠΏΠΎ ΡΠΎΡΠ½ΠΎΠΌΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΠ»ΠΎΠΏΠΏΠ΅ΡΠ°ΠΠΈΡΡΠΎΠ½Π°).
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ.ΠΠ°Π²ΡΠ΅ΠΌΡ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ (2020 Π³.) Π²ΡΠ΄Π΅Π»Π΅Π½ΠΎ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΠ²Π²Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΡΠ»ΡΡΠ°Π΅Π²COVID-19: ΠΏΠ΅ΡΠΈΠΎΠ΄ Π·Π°Π²ΠΎΠ·Π°SARS-CoV-2ΠΈΡΠΎΡΡΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ, ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·Π°ΡΠΈΡΡΡ, ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΎΡΠ΅Π½Π½Π΅Π³ΠΎ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ°, ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈCOVID-19. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ,ΡΡΠΎΠ»ΠΈΡΠ° ΡΡΠ°ΡΡΠ΅ 70 Π»Π΅Ρ ΡΠ²Π»ΡΡΡΡΡ Π³ΡΡΠΏΠΏΠΎΠΉΡΠ½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΠΈΡΠΊΠΎΠΌ Π·Π°ΡΠ°ΠΆΠ΅Π½ΠΈΡΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΠΆΠ΅Π»ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌCOVID-19. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΠ΅Π»Π΅Π²ΡΡ
ΠΊΠΎΠ½ΡΠΈΠ½Π³Π΅Π½ΡΠΎΠ² ΡΡΠ΅Π΄ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΈΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ,ΠΊΡΠΈΡΠ»Ρ ΠΊΠΎΡΠΎΡΡΡ
ΡΠ»Π΅Π΄ΡΠ΅Ρ ΠΎΡΠ½Π΅ΡΡΠΈ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ², ΠΏΠ΅Π½ΡΠΈΠΎΠ½Π΅ΡΠΎΠ², ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠΉ, ΠΏΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΎΡΠ³Π°Π½ΠΎΠ², ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ°, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΡΠ΅Π±ΡΡΡ ΠΎΡΠΎΠ±ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡΠΈΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ.
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅.ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π»,ΡΡΠΎΠΌΠ°ΡΡΡΠ°Π±Π½ΠΎΠ΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ COVID-19 ΡΡΠ΅Π±ΡΠ΅Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ³Π»ΡΠ±Π»Π΅Π½Π½ΡΡ
ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉΠΈΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉΡΡΡΠ΅ΡΠΎΠΌ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ ΡΡΠΎΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ Π·Π½Π°ΡΠΈΠΌΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ