Completude das notificações de síndrome respiratória aguda grave no  âmbito nacional e em uma regional de saúde de Minas Gerais, durante  a pandemia de COVID-19, 2020

Fábio Vieira Ribas; Ana Cristina Dias Custódio; Luana Vieira Toledo; Bruno David Henriques; Catarina Maria Nogueira de Oliveira Sediyama; Brunnella Alcântara Chagas de Freitas

doi:10.1590/S1679-49742022000200004

Preprint / Version 1

Completeness of notifications of severe acute respiratory syndrome nationally and of a regional health in Minas Gerais, Brazil, during the COVID-19 pandemic, 2020

##article.authors##

Fábio Vieira Ribas Universidade Federal de Viçosa https://orcid.org/0000-0001-7541-0096
Ana Cristina Dias Custódio Universidade Federal de Viçosa https://orcid.org/0000-0002-9820-644X
Luana Vieira Toledo Universidade Federal de Viçosa https://orcid.org/0000-0001-9527-7325
Bruno David Henriques Universidade Federal de Viçosa https://orcid.org/0000-0002-6844-6661
Catarina Maria Nogueira de Oliveira Sediyama Universidade Federal de Viçosa https://orcid.org/0000-0002-1185-5819
Brunnella Alcântara Chagas de Freitas Universidade Federal de Viçosa https://orcid.org/0000-0002-7863-0681

DOI:

https://doi.org/10.1590/S1679-49742022000200004

Keywords:

Severe Acute Respiratory Syndrome, COVID-19, Health Information Systems, Public Health Surveillance

Abstract

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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Posted

04/04/2022

How to Cite

Completeness of notifications of severe acute respiratory syndrome nationally and of a regional health in Minas Gerais, Brazil, during the COVID-19 pandemic, 2020. (2022). In SciELO Preprints. https://doi.org/10.1590/S1679-49742022000200004