Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South

Detalhes bibliográficos
Autor(a) principal: Pinto Junior, Elzo Pereira
Data de Publicação: 2022
Outros Autores: Normando, Priscilla, Ortiz, Renzo Flores, Afzal, Muhammad Usman, Jamil, Muhammad Asaad, Bertolin, Sergio Fernandez, Oliveira, Vin ıcius de Araujo, Martufi, Valentina, Sousa, Fernanda de, Bashir, Amir, Burn, Edward, Ichihara, Maria Yury, Barreto, Maurício L., Salles, Talita Duarte, Alhambra, Daniel Prieto, Hafeez, Haroon, Khalid, Sara
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/57257
Resumo: Bill & Melinda Gates Foundation.
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spelling Pinto Junior, Elzo PereiraNormando, PriscillaOrtiz, Renzo FloresAfzal, Muhammad UsmanJamil, Muhammad AsaadBertolin, Sergio FernandezOliveira, Vin ıcius de AraujoMartufi, ValentinaSousa, Fernanda deBashir, AmirBurn, EdwardIchihara, Maria YuryBarreto, Maurício L.Salles, Talita DuarteAlhambra, Daniel PrietoHafeez, HaroonKhalid, Sara2023-03-07T14:51:17Z2023-03-07T14:51:17Z2022PINTO JUNIOR, Elzo Pereira et al. Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South. Journal of the American Medical Informatics Association, v. 00, n. 0, p. 1-13, 2022.1527-974Xhttps://www.arca.fiocruz.br/handle/icict/5725710.1093/jamia/ocac180Bill & Melinda Gates Foundation.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Shaukat Khanum Memorial Cancer Hospital and Research Centre. Johar Town, Lahore, Pakistan.Shaukat Khanum Memorial Cancer Hospital and Research Centre. Johar Town, Lahore, Pakistan.Fundació Institut. Universitari per a la recerca a l’Aenció Primária de Salut Jordi Gol i Gurina (IDIAPJGol). Barcelona, Spain.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Shaukat Khanum Memorial Cancer Hospital and Research Centre. Johar Town, Lahore, Pakistan.Centre for Statistics in Medicine. Botnar Research Centre. University of Oxford. Oxford, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Parque Tecnológico da Bahia. Salvador, BA, Brasil.Fundació Institut. Universitari per a la recerca a l’Aenció Primária de Salut Jordi Gol i Gurina (IDIAPJGol). Barcelona, Spain.Centre for Statistics in Medicine. Botnar Research Centre. University of Oxford. Oxford, United Kingdom.Shaukat Khanum Memorial Cancer Hospital and Research Centre. Johar Town, Lahore, Pakistan.Centre for Statistics in Medicine. Botnar Research Centre. University of Oxford. Oxford, United Kingdom.Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South. Materials and Methods: Patient-level COVID-19 records collected in a patient self-reported notification system, hospital in-patient and out-patient records, and community diagnostic labs were harmonized to the Observational Medical Outcomes Partnership common data model and analyzed using a federated network analytics framework. Clinical characteristics of individuals tested for, diagnosed with or tested positive for, hospitalized with, admitted to intensive care unit with, or dying with COVID-19 were estimated. Results: Two COVID-19 databases covering 8.3 million people from Pakistan and 2.6 million people from Bahia, Brazil were analyzed. 109 504 (Pakistan) and 921 (Brazil) medical concepts were harmonized to Observational Medical Outcomes Partnership common data model. In total, 341 505 (4.1%) people in the Pakistan dataset and 1 312 832 (49.2%) people in the Brazilian dataset were tested for COVID-19 between January 1, 2020 and April 20, 2022, with a median [IQR] age of 36 [25, 76] and 38 (27, 50); 40.3% and 56.5% were female in Pakistan and Brazil, respectively. 1.2% percent individuals in the Pakistan dataset had Afghan ethnicity. In Brazil, 52.3% had mixed ethnicity. In agreement with international findings, COVID-19 outcomes were more severe in men, elderly, and those with underlying health conditions. Conclusions: COVID-19 data from 2 large countries in the Global South were harmonized and analyzed using a standardized health informatics framework developed by an international community of health informaticians. This proof-of-concept study demonstrates a potential open science framework for global knowledge mobilization and clinical translation for timely response to healthcare needs in pandemics and beyond.engOxford University PressEquidade em saúdeDados observacionaisRede de dados federadaCOVID 19Modelo de dados comum OMOPHealth equityObservational dataFederated data networkCOVID-19OMOP common data modelEquidade em saúdeCOVID-19Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global Southinfo: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/57257/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALPinto Junior, E.P. Integrating real- world...2022.pdfPinto Junior, E.P. Integrating real- world...2022.pdfapplication/pdf1515444https://www.arca.fiocruz.br/bitstream/icict/57257/2/Pinto%20Junior%2c%20E.P.%20Integrating%20real-%20world...2022.pdf943ea634c6cbfffc096bc8e3a469a966MD52icict/572572023-03-15 14:32:52.853oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-03-15T17:32:52Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.en_US.fl_str_mv Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
title Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
spellingShingle Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
Pinto Junior, Elzo Pereira
Equidade em saúde
Dados observacionais
Rede de dados federada
COVID 19
Modelo de dados comum OMOP
Health equity
Observational data
Federated data network
COVID-19
OMOP common data model
Equidade em saúde
COVID-19
title_short Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
title_full Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
title_fullStr Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
title_full_unstemmed Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
title_sort Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
author Pinto Junior, Elzo Pereira
author_facet Pinto Junior, Elzo Pereira
Normando, Priscilla
Ortiz, Renzo Flores
Afzal, Muhammad Usman
Jamil, Muhammad Asaad
Bertolin, Sergio Fernandez
Oliveira, Vin ıcius de Araujo
Martufi, Valentina
Sousa, Fernanda de
Bashir, Amir
Burn, Edward
Ichihara, Maria Yury
Barreto, Maurício L.
Salles, Talita Duarte
Alhambra, Daniel Prieto
Hafeez, Haroon
Khalid, Sara
author_role author
author2 Normando, Priscilla
Ortiz, Renzo Flores
Afzal, Muhammad Usman
Jamil, Muhammad Asaad
Bertolin, Sergio Fernandez
Oliveira, Vin ıcius de Araujo
Martufi, Valentina
Sousa, Fernanda de
Bashir, Amir
Burn, Edward
Ichihara, Maria Yury
Barreto, Maurício L.
Salles, Talita Duarte
Alhambra, Daniel Prieto
Hafeez, Haroon
Khalid, Sara
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pinto Junior, Elzo Pereira
Normando, Priscilla
Ortiz, Renzo Flores
Afzal, Muhammad Usman
Jamil, Muhammad Asaad
Bertolin, Sergio Fernandez
Oliveira, Vin ıcius de Araujo
Martufi, Valentina
Sousa, Fernanda de
Bashir, Amir
Burn, Edward
Ichihara, Maria Yury
Barreto, Maurício L.
Salles, Talita Duarte
Alhambra, Daniel Prieto
Hafeez, Haroon
Khalid, Sara
dc.subject.other.en_US.fl_str_mv Equidade em saúde
Dados observacionais
Rede de dados federada
COVID 19
Modelo de dados comum OMOP
topic Equidade em saúde
Dados observacionais
Rede de dados federada
COVID 19
Modelo de dados comum OMOP
Health equity
Observational data
Federated data network
COVID-19
OMOP common data model
Equidade em saúde
COVID-19
dc.subject.en.en_US.fl_str_mv Health equity
Observational data
Federated data network
COVID-19
OMOP common data model
dc.subject.decs.en_US.fl_str_mv Equidade em saúde
COVID-19
description Bill & Melinda Gates Foundation.
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2023-03-07T14:51:17Z
dc.date.available.fl_str_mv 2023-03-07T14:51:17Z
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 PINTO JUNIOR, Elzo Pereira et al. Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South. Journal of the American Medical Informatics Association, v. 00, n. 0, p. 1-13, 2022.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/57257
dc.identifier.issn.en_US.fl_str_mv 1527-974X
dc.identifier.doi.none.fl_str_mv 10.1093/jamia/ocac180
identifier_str_mv PINTO JUNIOR, Elzo Pereira et al. Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South. Journal of the American Medical Informatics Association, v. 00, n. 0, p. 1-13, 2022.
1527-974X
10.1093/jamia/ocac180
url https://www.arca.fiocruz.br/handle/icict/57257
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 Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
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bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/57257/1/license.txt
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