Preprint has been submitted for publication in journal
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##

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.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Posted

04/04/2022

How to Cite

Ribas, F. V., Custódio, A. C. D., Toledo, L. V., Henriques, B. D., Sediyama, C. M. N. de O., & Freitas, B. A. C. de. (2022). Completeness of notifications of severe acute respiratory syndrome nationally and of a regional health in Minas Gerais, Brazil, during the COVID-19 pandemic, 2020. In SciELO Preprints. https://doi.org/10.1590/S1679-49742022000200004

Section

Health Sciences