Epidemiological analysis of the gender-age structure of hospitalized patients with COVID-19 and their mortality in 2020-2021

Abstract

AbstractBackgroundThe pandemic of the new coronavirus infection COVID-19 determines the relevance of conducting a study of the gender-age structure of hospitalized and deceased among the population of Moscow on the example of one of the city clinical hospitals in 2020 – 2021.The aim of the work is to identify the patterns of the epidemic process of COVID-19 in connection with the gender and age characteristics of hospitalized adults and to establish the sex and age groups most susceptible to hospitalization and mortality from COVID-19.Materials and methodsThe analysis of the structure of hospitalized and deceased from COVID-19 in the context of their gender and age composition was carried out. The data of the statistical accounting form F-60u/lech “Journal of infectious diseases” of adults hospitalized in one of the city clinical hospitals of Moscow in 2020 – 2021 were used. Data processing was carried out by a set of standard statistical methods. To identify the true risk groups for hospitalization and mortality, a statistical correction of the sex and age composition of the population of Moscow was used.Results and discussionUsing standard statistical methods in combination with the use of statistical correction of sex and age composition, data on the true risk groups for hospitalization and mortality among the population of Moscow in 2020 – 2021 were obtained.ConclusionThe results obtained in our independent study on the true risk groups for hospitalization and mortality among the population of Moscow complement and introduce new knowledge about the true risk groups for hospitalization and mortality in COVID-19. The patterns identified in this epidemiological analysis are an important component of epidemiological surveillance for making managerial decisions to prevent the spread of SARS-CoV-2 and planning for the provision of inpatient medical care to established gender and age risk groups.