The importance of surveillance in cases and mortality from COVID-19 epidemic in Belo Horizonte, 2020

Detalhes bibliográficos
Autor(a) principal: Corrêa, Paulo Roberto Lopes
Data de Publicação: 2020
Outros Autores: Ishitani, Lenice Harumi, Abreu, Daisy Maria Xavier de, Teixeira, Renato Azeredo, Marinho, Fatima, França, Elisabeth Barboza
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.
id SCI-1_972faf357874286a317ca6a80008ec1d
oai_identifier_str oai:ops.preprints.scielo.org:preprint/741
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling 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
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047818559422464