EPIDEMIC CHARACTERISTICS OF PATIENTS WITH COVID-19 IN RUSSIA.

Active epidemic process in Russia started in the March, 2020 after beginning the local transmission. At the end of June approximately 650 thousands COVID-19 cases were recorded in Russia. Aim of study: epidemical characteristics of patients with COVID-19 in Russia Materials and methods: statistic analysis of database of COVID-19 in Russia during the first half of 2020. Majority of cases in a group aged 0-17 years old was mild. Patients > 65 years and above were registered with a moderate and severe forms of COVID-19, what shows that this group needs a special attention. The biggest part of all the cases was in a group of people of employable age. This fact shows that control of restrictive measures has to be performed as a main stream in this group. In case of delayed initial medical service COVID-19 had more moderate and severe forms

CHARACTERISTICS OF COVID-19’S EPIDEMIC PROCESS IN RUSSIA, MARCH-JUNE 2020

The epidemic process with local transmission began in Russia in March 2020. Aim of study: to estimate the dynamics of epidemic process in Russia. Data analysis of report form #970 of Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing about COVID-19 cases during the first half of 2020. Russia has specific characteristics of the epidemic process with significal differences of epidemic curves in the MaMR and other regions due to less strong restrictive measures outside of MaMR

CHARACTERISTICS OF INCIDENCE RATE OF COVID-19, ACUTE RESPIRATORY DISEASES, INFLUENZA AND COMMUNITY ACQUIRED PNEUMONIA IN RUSSIA ACCORDING TO CLIMATE, GEOGRAFICAL ASPECTS AND POPULATION DENSITY

Background: Understanding the impact of geographical aspects and population density on the incidence rate (IR) of respiratory infections in Russia is necessary for successful control under the epidemic. Aim: to estimate the increase in IR of respiratory infections in 2020 compared to the same period of 2016-2019 Materials and methods: a retrospective study of IR of COVID-19, ARI, influenza and community acquired pneumonia (CAP) in summarily (respiratory infections and COVID-19 morbidity) in the first half of 2020 in comparison with morbidity of ARI, influenza and CAP (respiratory infections morbidity) the same period of 2016-2019 in 85 regions was performed. Additionally the influence of climate on COVID-19 morbidity were estimated. Results: The highest excess of respiratory infections and COVID-19 morbidity in 2020 versus the average respiratory infections morbidity in 2016-2019 was observed in Buryatia-107.61%; Zabaykalsky Krai -134.09%; Tuva – 166.34%; the Kaliningrad region – 1023.41%; the Republic of Altai – 1212.78%; Dagestan – 2030.27%. Buryatia, Tuva, Altai and Zabaykalsky Krai are located next to the China, and also border each other. The Kaliningrad region borders on the EU countries. Dagestan has a maritime border with 3 states, including Iran, where the epidemic COVID-19 began earlier. In 43 of the 85 regions of Russia, this excess was 10-50%; in 35 subjects varied from 50% to 100%. The correlation between the incidence of COVID-19 and the population density in the regions was weak (r=0.26). The air pollution, has also a weak relationship (r=0.26) to the incidence rate. Moderate relationship was observed between the severity of negative temperatures in winter and the level of morbidity(r=-0.51). Milder climate probably contributed to the longer persistence of the virus in the environment and social activity. Conclusion: Russian regions bordering the PRC, the EU, Central Asia and the Middle East demonstrated the highest IR of influenza, ARI, CAP and COVID-19in summarility in the first part of this year versus the morbidity of influenza, ARI, CAP in average in first half of 2016-2019. IR of COVID-19 has weak correlation with population density and air pollution and moderate negative correlation with winter temperature