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Completeness of notifications of severe acute respiratory syndrome at the national level and in a regional health care in the state of Minas Gerais, during the COVID-19 pandemic, 2020

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 Ge...

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Detalles Bibliográficos
Autores principales: Ribas, Fábio Vieira, Custódio, Ana Cristina Dias, Toledo, Luana Vieira, Henriques, Bruno David, Sediyama, Catarina Maria Nogueira de Oliveira, de Freitas, Brunnella Alcântara Chagas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887980/
https://www.ncbi.nlm.nih.gov/pubmed/35730813
http://dx.doi.org/10.1590/S1679-49742022000200004
Descripción
Sumario: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%). RESULTS: The percentage of variables with excellent completeness was only 18.1% on the national database, and 27.8% on the regional database. CONCLUSION: Both SIVEP-Gripe databases presented low completeness, making it necessary to improve the work process and routine training of professionals aimed at the correct filling.