| Author | Boylan, Sally | |
| Author | Arsenault, Catherine | |
| Author | Barreto, Marcos | |
| Author | Bozza, Fernando A. | |
| Author | Fonseca, Adalton | |
| Author | Forde, Eoghan | |
| Author | Hookham, Lauren | |
| Author | Humphreys, Georgina S. | |
| Author | Ichihara, Maria Yury | |
| Author | Doare, Kirsty Le | |
| Author | Liu, Xiao Fan | |
| Author | McNamara, Edel | |
| Author | Mugunga, Jean Claude | |
| Author | Oliveira, Juliane F. | |
| Author | Ouma, Joseph | |
| Author | Postlethwaite, Neil | |
| Author | Retford, Matthew | |
| Author | Reyes, Luis Felipe | |
| Author | Morris, Andrew D. | |
| Author | Wozencraft, Anne | |
| Access date | 2024-05-02T14:34:15Z | |
| Available date | 2024-05-02T14:34:15Z | |
| Document date | 2024 | |
| Citation | BOYLAN, Sally et al. Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects. Lancet Digit Health, v. 6, n. 5, p. 1-13, 2024. | en_US |
| ISSN | 2589-7500 | en_US |
| URI | https://www.arca.fiocruz.br/handle/icict/63817 | |
| Sponsorship | ICODA.
Gates Foundation.
Minderoo Foundation.
Microsoft’s AI for Good Research Laboratory,.
Health Data Research UK. | en_US |
| Language | eng | en_US |
| Publisher | Elsevier | en_US |
| Rights | open access | en_US |
| Subject in Portuguese | COVID 19 | en_US |
| Subject in Portuguese | Emergências de saúde | en_US |
| Subject in Portuguese | Desafios de dados | en_US |
| Subject in Portuguese | Lições aprendidas | en_US |
| Subject in Portuguese | Motorista | en_US |
| Title | Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects | en_US |
| Type | Article | en_US |
| DOI | 10.1016/S2589-7500(24)00028-1 | |
| Abstract | The COVID-19 pandemic highlighted the importance of international data sharing and access to improve health outcomes for all. The International COVID-19 Data Alliance (ICODA) programme enabled 12 exemplar or driver projects to use existing health-related data to address major research questions relating to the pandemic, and developed data science approaches that helped each research team to overcome challenges, accelerate the data research cycle, and produce rapid insights and outputs. These approaches also sought to address inequity in data access and use, test approaches to ethical health data use, and make summary datasets and outputs accessible to a wider group of researchers. This Health Policy paper focuses on the challenges and lessons learned from ten of the ICODA driver projects, involving researchers from 19 countries and a range of health-related datasets. The ICODA programme reviewed the time taken for each project to complete stages of the health data research cycle and identified common challenges in areas such as data sharing agreements and data curation. Solutions included provision of standard data sharing templates, additional data curation expertise at an early stage, and a trusted research environment that facilitated data sharing across national boundaries and reduced risk. These approaches enabled the driver projects to rapidly produce research outputs, including publications, shared code, dashboards, and innovative resources, which can all be accessed and used by other research teams to address global health challenges. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Affilliation | Department of Global Health. Milken Institute School of Public Health. George Washington University. Washington DC, USA. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil. | en_US |
| Affilliation | Aridhia Informatics. Glasgow, UK. | en_US |
| Affilliation | St George's, University of London. London, UK. | en_US |
| Affilliation | Green Templeton College. University of Oxford. Oxford, UK. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil. | en_US |
| Affilliation | St George's, University of London. London, UK / Makerere University John's Hopkins University Research Collaboration. Kampala, Uganda. | en_US |
| Affilliation | Department of Media and Communication. City University of Hong Kong. Hong Kong Special Administrative Region. China. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Affilliation | Partners in Health. Boston, MA, USA / Department of Global Health and Social Medicine. Harvard Medical School. Boston, MA, USA / Division of Global Health Equity. Brigham and Women's Hospital. Boston, MA, USA. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil / Department of Mathematics. Centre of Mathematics of the University of Porto. Porto, Portugal. | en_US |
| Affilliation | Makerere University John's Hopkins University Research Collaboration. Kampala, Uganda. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Affilliation | Nuffield School of Medicine. University of Oxford. Oxford, UK / Universidad de La Sabana. Chia, Colombia. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Affilliation | Health Data Research UK. London, UK. | en_US |
| Subject | COVID 19 | en_US |
| Subject | Health emergencies | en_US |
| Subject | Data challenges | en_US |
| Subject | Lessons learned | en_US |
| Subject | Driver | en_US |
| DeCS | COVID 19 | en_US |
| DeCS | Emergências | en_US |
| DeCS | Saúde | en_US |
| DeCS | Dados estatisticos | en_US |
| xmlui.metadata.dc.subject.ods | 04 Educação de qualidade | |
