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Folia Med Cracov . Analysis of the epidemic situation of the COVID-19 coronavirus infection in Ukraine

tetano

Editor, Senior Moderator
Folia Med Cracov


. 2023 Apr 30;63(1):109-120.
doi: 10.24425/fmc.2023.145434. Analysis of the epidemic situation of the COVID-19 coronavirus infection in Ukraine

Alla Podavalenko[SUP] 1 [/SUP], Nina Malysh[SUP] 2 [/SUP], Viktoriya Zadorozhna[SUP] 3 [/SUP], Kateryna Zhuk[SUP] 4 [/SUP], Galina Zaitseva[SUP] 5 [/SUP], Inna Chorna[SUP] 4 [/SUP]



Affiliations
Abstract

The epidemic process of COVID-19 in the world developed rapidly. The situation with morbidity, despite the establishment of quarantine, the introduction of restrictive anti-epidemic measures, and vaccination, remains difficult. The results of research on the influence of meteorological factors on the dynamics of the incidence of COVID-19, hospitalization, and mortality are ambiguous and contradictory. The purpose of this study is to analyze the indicators of morbidity, hospitalization, and mortality from COVID-19 in Ukraine, and to establish the level of influence of meteorological factors on them. A high variation in morbidity, hospitalization, and mortality rates was observed in Ukraine, in 2020-2021. A total of 3 waves of disease growth were established. The curve of hospitalization indicators of patients with COVID-19 had a correlation dependence on the incidence curve r = 0.766 (р <0.05), the maximum rates of hospitalization and mortality were registered in September-December 2021. A direct strong correlation was established between the frequency of registration of cases of COVID-19 and mortality - r = 0.899 (р <0.05). Most cases of COVID-19 were registered in the cold season, the least in June-August. Inverse correlations of moderate strength were established between the indicators of morbidity, hospitalization, and mortality and air temperature levels (-0.370< r <-0.461). Direct correlations of average strength (0.538< r <0.632) were established with the levels of relative air humidity.

Keywords: coronavirus infection COVID-19; correlations; epidemiological situation; morbidity.

 
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