{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T05:33:39Z","timestamp":1774157619540,"version":"3.50.1"},"reference-count":36,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:00:00Z","timestamp":1666224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000865","name":"Bill & Melinda Gates Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3,16]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Two COVID-19 databases covering 8.3 million people from Pakistan and 2.6 million people from Bahia, Brazil were analyzed. 109\u00a0504 (Pakistan) and 921 (Brazil) medical concepts were harmonized to Observational Medical Outcomes Partnership common data model. In total, 341\u00a0505 (4.1%) people in the Pakistan dataset and 1\u00a0312\u00a0832 (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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jamia\/ocac180","type":"journal-article","created":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T18:18:00Z","timestamp":1666289880000},"page":"643-655","source":"Crossref","is-referenced-by-count":17,"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"],"prefix":"10.1093","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6977-2071","authenticated-orcid":false,"given":"Elzo Pereira Pinto","family":"Junior","sequence":"first","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Priscilla","family":"Normando","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Renzo","family":"Flores-Ortiz","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Muhammad Usman","family":"Afzal","sequence":"additional","affiliation":[{"name":"Shaukat Khanum Memorial Cancer Hospital and Research Centre , Johar Town, Lahore, 54840, Pakistan"}]},{"given":"Muhammad Asaad","family":"Jamil","sequence":"additional","affiliation":[{"name":"Shaukat Khanum Memorial Cancer Hospital and Research Centre , Johar Town, Lahore, 54840, Pakistan"}]},{"given":"Sergio Fernandez","family":"Bertolin","sequence":"additional","affiliation":[{"name":"Fundaci\u00f3 Institut, Universitari per a la recerca a l\u2019Atenci\u00f3 Prim\u00e0ria de Salut Jordi Gol i Gurina (IDIAPJGol) , Barcelona, 587 08007, Spain"}]},{"given":"Vin\u00edcius de Ara\u00fajo","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Valentina","family":"Martufi","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Fernanda","family":"de Sousa","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"given":"Amir","family":"Bashir","sequence":"additional","affiliation":[{"name":"Shaukat Khanum Memorial Cancer Hospital and Research Centre , Johar Town, Lahore, 54840, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9286-1128","authenticated-orcid":false,"given":"Edward","family":"Burn","sequence":"additional","affiliation":[{"name":"Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford , Oxford, OX3 7LD, United Kingdom"}]},{"given":"Maria Yury","family":"Ichihara","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. Mundo , Salvador, BA 41745-715, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0215-4930","authenticated-orcid":false,"given":"Maur\u00edcio L","family":"Barreto","sequence":"additional","affiliation":[{"name":"Center of Data and Knowledge Integration for Health (Cidacs), Fiocruz\u2014Brazil, Parque Tecnol\u00f3gico da Edf, Tecnocentro, R. 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