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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil
2022
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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. |
format | Online Article Text |
id | pubmed-9887980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil |
record_format | MEDLINE/PubMed |
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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