Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil

Detalhes bibliográficos
Autor(a) principal: Boaventura, Viviane S.
Data de Publicação: 2023
Outros Autores: Grave, Malú, Silva, Thiago Cerqueira, Carreiro, Roberto, Pinheiro, Adélia, Coutinho, Alvaro, Barral Netto, Manoel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/60774
Resumo: Fundação Oswaldo Cruz . Fundação Rockefeller. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES Brasil). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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spelling Boaventura, Viviane S.Grave, MalúSilva, Thiago CerqueiraCarreiro, RobertoPinheiro, AdéliaCoutinho, AlvaroBarral Netto, Manoel2023-10-11T16:04:05Z2023-10-11T16:04:05Z2023BOAVENTURA, Viviane S. et al. Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil. JMIR Public Health and Surveillance, v. 9, p. 1-10, 2023.2369-2960https://www.arca.fiocruz.br/handle/icict/6077410.2196/40036Fundação Oswaldo Cruz . Fundação Rockefeller. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES Brasil). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Laboratório de Doenças Infecciosas Transmitidas por Vetores. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil.Universidade Federal do Rio de Janeiro. Departamento de Engenharia Civil. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal Fluminense. Departamento de Engenharia Civil. Niterói, RJ, Brasil.Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil /Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.Universidade Estadual de Santa Cruz. Departamento de Ciências da Saúde. Salvador, BA, Brasil.Universidade Federal do Rio de Janeiro. Departamento de Engenharia Civil. Rio de Janeiro, RJ, Brasil.Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil /Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Background: Telehealth has been widely used for new case detection and telemonitoring during the COVID-19 pandemic. It safely provides access to health care services and expands assistance to remote, rural areas and underserved communities in situations of shortage of specialized health professionals. Qualified data are systematically collected by health care workers containing information on suspected cases and can be used as a proxy of disease spread for surveillance purposes. However, the use of this approach for syndromic surveillance has yet to be explored. Besides, the mathematical modeling of epidemics is a well-established field that has been successfully used for tracking the spread of SARS-CoV-2 infection, supporting the decision-making process on diverse aspects of public health response to the COVID-19 pandemic. The response of the current models depends on the quality of input data, particularly the transmission rate, initial conditions, and other parameters present in compartmental models. Telehealth systems may feed numerical models developed to model virus spread in a specific region. Objective: Herein, we evaluated whether a high-quality data set obtained from a state-based telehealth service could be used to forecast the geographical spread of new cases of COVID-19 and to feed computational models of disease spread. Methods: We analyzed structured data obtained from a statewide toll-free telehealth service during 4 months following the first notification of COVID-19 in the Bahia state, Brazil. Structured data were collected during teletriage by a health team of medical students supervised by physicians. Data were registered in a responsive web application for planning and surveillance purposes. The data set was designed to quickly identify users, city, residence neighborhood, date, sex, age, and COVID-19–like symptoms. We performed a temporal-spatial comparison of calls reporting COVID-19–like symptoms and notification of COVID-19 cases. The number of calls was used as a proxy of exposed individuals to feed a mathematical model called “susceptible, exposed, infected, recovered, deceased.” Results: For 181 (43%) out of 417 municipalities of Bahia, the first call to the telehealth service reporting COVID-19–like symptoms preceded the first notification of the disease. The calls preceded, on average, 30 days of the notification of COVID-19 in the municipalities of the state of Bahia, Brazil. Additionally, data obtained by the telehealth service were used to effectively reproduce the spread of COVID-19 in Salvador, the capital of the state, using the “susceptible, exposed, infected, recovered, deceased” model to simulate the spatiotemporal spread of the disease.engJMIR PublicationsTelessaúdeTelemedicinaVigilância de doençasCOVID 19Monitoramento VigilânciaModelagem computacionalTransmissãoDoenças infecciosasSindrômicoTelehealthTelemedicineDisease surveillanceCOVID-19MonitoringSurveillanceComputational modelingTransmissionInfectious diseasesSyndromicTelemedicinaControle de Vetores de DoençasCOVID 19Simulação por ComputadorDoenças TransmissíveisSyndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/60774/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALBoaventura, Viviane S. - Syndromic Surveillance Using Structured Telehealth Data.pdfBoaventura, Viviane S. - Syndromic Surveillance Using Structured Telehealth Data.pdfapplication/pdf1167751https://www.arca.fiocruz.br/bitstream/icict/60774/2/Boaventura%2c%20Viviane%20%20S.%20-%20Syndromic%20Surveillance%20Using%20Structured%20Telehealth%20Data.pdf42b2bad1791cd3d84c2f3ac47d41dc0fMD52icict/607742023-10-11 13:04:05.932oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-10-11T16:04:05Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.en_US.fl_str_mv Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
title Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
spellingShingle Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
Boaventura, Viviane S.
Telessaúde
Telemedicina
Vigilância de doenças
COVID 19
Monitoramento Vigilância
Modelagem computacional
Transmissão
Doenças infecciosas
Sindrômico
Telehealth
Telemedicine
Disease surveillance
COVID-19
Monitoring
Surveillance
Computational modeling
Transmission
Infectious diseases
Syndromic
Telemedicina
Controle de Vetores de Doenças
COVID 19
Simulação por Computador
Doenças Transmissíveis
title_short Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
title_full Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
title_fullStr Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
title_full_unstemmed Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
title_sort Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil
author Boaventura, Viviane S.
author_facet Boaventura, Viviane S.
Grave, Malú
Silva, Thiago Cerqueira
Carreiro, Roberto
Pinheiro, Adélia
Coutinho, Alvaro
Barral Netto, Manoel
author_role author
author2 Grave, Malú
Silva, Thiago Cerqueira
Carreiro, Roberto
Pinheiro, Adélia
Coutinho, Alvaro
Barral Netto, Manoel
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Boaventura, Viviane S.
Grave, Malú
Silva, Thiago Cerqueira
Carreiro, Roberto
Pinheiro, Adélia
Coutinho, Alvaro
Barral Netto, Manoel
dc.subject.other.en_US.fl_str_mv Telessaúde
Telemedicina
Vigilância de doenças
COVID 19
Monitoramento Vigilância
Modelagem computacional
Transmissão
Doenças infecciosas
Sindrômico
topic Telessaúde
Telemedicina
Vigilância de doenças
COVID 19
Monitoramento Vigilância
Modelagem computacional
Transmissão
Doenças infecciosas
Sindrômico
Telehealth
Telemedicine
Disease surveillance
COVID-19
Monitoring
Surveillance
Computational modeling
Transmission
Infectious diseases
Syndromic
Telemedicina
Controle de Vetores de Doenças
COVID 19
Simulação por Computador
Doenças Transmissíveis
dc.subject.en.en_US.fl_str_mv Telehealth
Telemedicine
Disease surveillance
COVID-19
Monitoring
Surveillance
Computational modeling
Transmission
Infectious diseases
Syndromic
dc.subject.decs.en_US.fl_str_mv Telemedicina
Controle de Vetores de Doenças
COVID 19
Simulação por Computador
Doenças Transmissíveis
description Fundação Oswaldo Cruz . Fundação Rockefeller. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES Brasil). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
publishDate 2023
dc.date.accessioned.fl_str_mv 2023-10-11T16:04:05Z
dc.date.available.fl_str_mv 2023-10-11T16:04:05Z
dc.date.issued.fl_str_mv 2023
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv BOAVENTURA, Viviane S. et al. Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil. JMIR Public Health and Surveillance, v. 9, p. 1-10, 2023.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/60774
dc.identifier.issn.en_US.fl_str_mv 2369-2960
dc.identifier.doi.none.fl_str_mv 10.2196/40036
identifier_str_mv BOAVENTURA, Viviane S. et al. Syndromic surveillance using structured telehealth data: case study of the first wave of COVID-19 in Brazil. JMIR Public Health and Surveillance, v. 9, p. 1-10, 2023.
2369-2960
10.2196/40036
url https://www.arca.fiocruz.br/handle/icict/60774
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv JMIR Publications
publisher.none.fl_str_mv JMIR Publications
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
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collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/60774/1/license.txt
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