SciELO - Scientific Electronic Library Online

 
vol.31 issue2Prevalence and factors associated with polypharmacy and potential drug interactions in adults in Manaus, Amazonas state, Brazil: a cross-sectional population-based study, 2019Chagas disease and social welfare: characterization of the disease in the Brazilian social security and social assistance, 2004-2016 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Epidemiologia e Serviços de Saúde

Print version ISSN 1679-4974On-line version ISSN 2237-9622

Abstract

RIBAS, Fábio Vieira et al. 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. Epidemiol. Serv. Saúde [online]. 2022, vol.31, n.2, e2021620.  Epub May 25, 2022. ISSN 1679-4974.  http://dx.doi.org/10.1590/s1679-49742022000200004.

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.

Keywords : Severe Acute Respiratory Syndrome; COVID-19; Health Information Systems; Public Health Surveillance.

        · abstract in Portuguese | Spanish     · text in English | Portuguese     · English ( pdf ) | Portuguese ( pdf )