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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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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
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author Ribas, Fábio Vieira
Custódio, Ana Cristina Dias
Toledo, Luana Vieira
Henriques, Bruno David
Sediyama, Catarina Maria Nogueira de Oliveira
de Freitas, Brunnella Alcântara Chagas
author_facet Ribas, Fábio Vieira
Custódio, Ana Cristina Dias
Toledo, Luana Vieira
Henriques, Bruno David
Sediyama, Catarina Maria Nogueira de Oliveira
de Freitas, Brunnella Alcântara Chagas
author_sort Ribas, Fábio Vieira
collection PubMed
description 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.
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spelling pubmed-98879802023-01-31 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 Ribas, Fábio Vieira Custódio, Ana Cristina Dias Toledo, Luana Vieira Henriques, Bruno David Sediyama, Catarina Maria Nogueira de Oliveira de Freitas, Brunnella Alcântara Chagas Epidemiol Serv Saude Original Article 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. Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil 2022-06-15 /pmc/articles/PMC9887980/ /pubmed/35730813 http://dx.doi.org/10.1590/S1679-49742022000200004 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ribas, Fábio Vieira
Custódio, Ana Cristina Dias
Toledo, Luana Vieira
Henriques, Bruno David
Sediyama, Catarina Maria Nogueira de Oliveira
de Freitas, Brunnella Alcântara Chagas
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Article
url 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
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