Completeness of notifications of severe acute respiratory syndrome nationally and of a regional health in Minas Gerais, Brazil, during the COVID-19 pandemic, 2020
Keywords:Severe Acute Respiratory Syndrome, COVID-19, Health Information Systems, Public Health Surveillance
Objective: To analyze the completeness of notifications of cases of severe acute respiratory illness from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) during the COVID-19 pandemic, in the national database and in a regional database in the state of Minas Gerais, Brazil, in 2020. Methods: Descriptive study of the completeness of sociodemographic variables and those related to the etiology, clinical condition, evolution and diagnostic criteria of SIVEP-Influenza. Completeness was classified as excellent (greater than 95%), good (90 to 95%), fair (80 to 90%), poor (50 to 80%), and
very poor (less than 50%). Results: The percentage of variables with excellent completeness was only 18.1% in the national database and 27.8% in the regional database. Conclusion: Low completeness of both SIVEP-Gripe databases was evidenced, making it necessary to improve the work process and routine training of professionals for the correct completion.
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Copyright (c) 2022 Fábio Vieira Ribas, Ana Cristina Dias Custódio, Luana Vieira Toledo, Bruno David Henriques, Catarina Maria Nogueira de Oliveira Sediyama, Brunnella Alcântara Chagas de Freitas
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