Specific Features of the Spread of New Coronavirus Infection (COVID 19) in Orenburg Region

Relevance. They did not learn completely the information of the distribution of morbidity by territory and population sex-age groups in the context of a pandemic of a new coronavirus infection (COVID-19).

Aims. It is necessary to study COVID-19 distribution features among the population of the central Orenburg region administrative districts in June–December 2020.

Materials & Methods. We analyzed the results of the study of the polymerase chain reaction (PCR) COVID-19 of the population of the Central Orenburg region for June-December 2020 (72 484 nasopharyngeal smears from 13 districts of the region). The presence of SARS-CoV2 RNA was detected by real-time reverse transcription PCR. The significance of differences in indicators was assessed using the paired Pearson test (p≤0.05; EPI-INFO, version 7.2.4; CDC).

Results. The share of positive findings was 15,5% of the studied material from 12,5% of the population. Registration of COVID 19 cases in the Central Orenburg region began in June 2020. They revealed a significant correlation between the dynamics of the districts population morbidity and the dynamics of examined persons number. The study of morbidity dynamics showed a significant growth with the registration of maximum values in October with a decrease in disease cases in December by 2 times. They identified the highest morbidity rates territories (Aleksandrovsky, Akbulaksky, Sharlyksky, Tyulgansky, Perevolotsky, Sol-Iletsky, Saraktashsky, Belyaevsky dist at the average regional level 2204,9 0 /0000 ). The distribution of cases by sex revealed the predominance of women disease cases (56,8%) over the men proportion (43,2%). Women dominated among adults under 65 years of age, while men dominated in the children's and over 65 years of age groups. However, the prevalence analysis for the given period showed the women dominance in all age groups in all the studied territories. They can conclude that there is a great women commitment to medical care. It was not possible to identify significant correlations between the morbidity level and the districts remoteness from Orenburg. It is likely that at modern communication speeds distances of 250–300 km are not a significant barrier to a new infection with a dominant airborne transmission pathway spread.

Conclusions. The study showed a mobidity significant growth for 2020. 8 of 13 territories under study became those of increased risk of morbidity. Cases of the disease ratio among men and women responds to the men and women ratio among the population. The age group of 0-18 was least affected. The analysis showed a morbidity reliable growth with increasing age of patients of both sexes and revealed a large inferiority of the female population.

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