ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2022
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.
Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Completeness and timeliness of records of SARS due to COVID-19 in the SIVEP-Gripe System, Brazil 2020-2023.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026Article
- Assessing Influenza and SARS-CoV-2 Coinfection in Brazil: A Comprehensive Study of Patient Outcomes From 2020 to 2023.Journal of medical virology · 2025Observational
- Analysis of completeness of COVID-19 notification forms among the Indigenous population in the State of Espírito Santo, 2020.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Sociodemographic Profile and Risk Factors for the Evolution of Patients with COVID-19 in ICUs in Brazil: A Cross-Sectional Study.TheScientificWorldJournal · 2024Article
- Public health surveillance perspectives from provincial COVID-19 experiences, South Africa 2021.Jamba (Potchefstroom, South Africa) · 2024Article
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Authors and funding
6 authors.
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Abstract
objectiveTo 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.
methodsThis 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%).
resultsThe percentage of variables with excellent completeness was only 18.1% on the national database, and 27.8% on the regional database.
conclusionBoth 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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