The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/741 |
Resumo: | Objectives: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. Methods: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. Results: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. Conclusion: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance. |
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The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020A importância da vigilância de casos e óbitos e a epidemia da COVID-19 em Belo Horizonte, 2020COVID-19Vigilância epidemiológicaAvaliação de serviçosEpidemiaCOVID-19Epidemiological monitoringEvaluation of servicesEpidemicObjectives: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. Methods: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. Results: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. Conclusion: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance.Objetivos: Descrever as ações realizadas pela vigilância epidemiológica da Secretaria Municipal de Saúde de Belo Horizonte para enfrentamento da epidemia de COVID-19 e avaliar a oportunidade para detecção precoce da transmissão da doença durante o período compreendido entre 1 de janeiro a 24 de abril de 2020. Métodos: Foram identificadas as fontes de informação utilizadas pela vigilância epidemiológica do município para a COVID-19 e analisadas a distribuição temporal e oportunidade para detecção dos casos confirmados da doença. Resultados: A vigilância epidemiológica do município utiliza fontes de notificações ambulatoriais, hospitalares, de laboratórios públicos e privados, além de busca ativa com cruzamento de dados laboratoriais na investigação de óbitos suspeitos, sendo os casos confirmados de COVID-19 informados em sistemas de informação oficiais. Foram notificados 1.449 casos internados, sendo o primeiro caso detectado no final de fevereiro de 2020. Do total de 1.025 amostras laboratoriais de casos internados após a semana epidemiológica 8, foram confirmados 87 casos (8,5%) por COVID-19. A mediana de tempo entre o início dos sintomas e liberação dos resultados laboratoriais foi de 12 dias. Conclusão: A vigilância epidemiológica utiliza várias fontes de dados para monitoramento e análise da transmissão da COVID-19. A oportunidade para detecção de casos da doença está comprometida pela demora na liberação dos resultados laboratoriais, sendo um desafio para a vigilância.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-06-08info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/74110.1590/1980-549720200061porhttps://preprints.scielo.org/index.php/scielo/article/view/741/995Copyright (c) 2020 Paulo Roberto Lopes Corrêa, Lenice Harumi Ishitani, Daisy Maria Xavier de Abreu, Renato Azeredo Teixeira, Fatima Marinho, Elisabeth Barboza Françahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCorrêa, Paulo Roberto LopesIshitani, Lenice Harumi Abreu, Daisy Maria Xavier deTeixeira, Renato AzeredoMarinho, FatimaFrança, Elisabeth Barboza reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-06-08T19:24:47Zoai:ops.preprints.scielo.org:preprint/741Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-06-08T19:24:47SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 A importância da vigilância de casos e óbitos e a epidemia da COVID-19 em Belo Horizonte, 2020 |
title |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
spellingShingle |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 Corrêa, Paulo Roberto Lopes COVID-19 Vigilância epidemiológica Avaliação de serviços Epidemia COVID-19 Epidemiological monitoring Evaluation of services Epidemic |
title_short |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
title_full |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
title_fullStr |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
title_full_unstemmed |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
title_sort |
The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020 |
author |
Corrêa, Paulo Roberto Lopes |
author_facet |
Corrêa, Paulo Roberto Lopes Ishitani, Lenice Harumi Abreu, Daisy Maria Xavier de Teixeira, Renato Azeredo Marinho, Fatima França, Elisabeth Barboza |
author_role |
author |
author2 |
Ishitani, Lenice Harumi Abreu, Daisy Maria Xavier de Teixeira, Renato Azeredo Marinho, Fatima França, Elisabeth Barboza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Corrêa, Paulo Roberto Lopes Ishitani, Lenice Harumi Abreu, Daisy Maria Xavier de Teixeira, Renato Azeredo Marinho, Fatima França, Elisabeth Barboza |
dc.subject.por.fl_str_mv |
COVID-19 Vigilância epidemiológica Avaliação de serviços Epidemia COVID-19 Epidemiological monitoring Evaluation of services Epidemic |
topic |
COVID-19 Vigilância epidemiológica Avaliação de serviços Epidemia COVID-19 Epidemiological monitoring Evaluation of services Epidemic |
description |
Objectives: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. Methods: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. Results: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. Conclusion: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/741 10.1590/1980-549720200061 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/741 |
identifier_str_mv |
10.1590/1980-549720200061 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/741/995 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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