Due to the high rates of transmission and deaths due to COVID-19, understanding the factors associated with its occurrence, as well as monitoring and implementing control measures should be priority actions in health surveillance, highlighting the use of epidemiological surveillance information systems as an important ally. Thus, the objectives of this study were to calculate the mortality rate of hospitalized patients with severe acute respiratory syndrome due to COVID-19 and to identify factors associated with death, in the period corresponding to epidemiological weeks 01 to 53 of the year 2020. This was a longitudinal study, using the national influenza epidemiological surveillance information system database, routinely collected by healthcare services.
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June 2022
Objective: To analyze the completeness of notifications of severe acute respiratory syndrome cases on the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) during the COVID-19 pandemic, on the national database and on the Regional Health Center database of the state of Minas Gerais, Brazil, in 2020.
Methods: This was a descriptive study of the completeness of sociodemographic variables and those related to etiology, clinical condition, evolution and diagnostic criteria of SIVEP-Gripe. The level of completeness was classified as excellent (> 95%), good (90% to 95%), regular (80% to 90%), poor (50% to 80%) or very poor (< 50%).
Objective: To analyze the characteristics and the factors associated with mortality of cases hospitalized for severe acute respiratory syndrome in a health region, in pre-pandemic and pandemic periods.
Methods: A retrospective documentary study of epidemiological surveillance carried out with secondary data from the Influenza Epidemiological Surveillance Information System, regarding the cases of patients belonging to a health region of Minas Gerais, Brazil.
Results: During the pandemic period, there was an increase in the number of hospitalizations and deaths due to severe acute respiratory syndrome, in addition to differences between sociodemographic and clinical-epidemiological characteristics.