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The Centre for Data and Knowledge Integration for Health (CIDACS): Linking Health and Social Data in Brazil.
Barreto, M L; Ichihara, M Y; Almeida, B A; Barreto, M E; Cabral, L; Fiaccone, R L; Carreiro, R P; Teles, Cas; Pitta, R; Penna, G O; Barral-Netto, M; Ali, M S; Barbosa, G; Denaxas, S; Rodrigues, L C; Smeeth, L.
Afiliação
  • Barreto ML; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Ichihara MY; Institute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.
  • Almeida BA; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Barreto ME; Institute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.
  • Cabral L; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Fiaccone RL; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Carreiro RP; Computer Science Department, Federal University of Bahia (UFBA), Salvador, Brazil.
  • Teles C; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Pitta R; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Penna GO; Statistics Department, Federal University of Bahia (UFBA), Brazil.
  • Barral-Netto M; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Ali MS; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Barbosa G; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Denaxas S; Centre for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
  • Rodrigues LC; Tropical Medicine Centre, University of Brasília (UnB), Brazil.
  • Smeeth L; Escola Fiocruz de Governo, FIOCRUZ Brasília, Brazil.
Int J Popul Data Sci ; 4(2): 1140, 2019 Nov 20.
Article em En | MEDLINE | ID: mdl-34095542
The Centre for Data and Knowledge Integration for Health (CIDACS) was created in 2016 in Salvador, Bahia-Brazil with the objective of integrating data and knowledge aiming to answer scientific questions related to the health of the Brazilian population. This article details our experiences in the establishment and operations of CIDACS, as well as efforts made to obtain high-quality linked data while adhering to security, ethical use and privacy issues. Every effort has been made to conduct operations while implementing appropriate structures, procedures, processes and controls over the original and integrated databases in order to provide adequate datasets to answer relevant research questions. Looking forward, CIDACS is expected to be an important resource for researchers and policymakers interested in enhancing the evidence base pertaining to different aspects of health, in particular when investigating, from a nation-wide perspective, the role of social determinants of health and the effects of social and environmental policies on different health outcomes.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Aspecto: Determinantes_sociais_saude / Equity_inequality / Ethics País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Popul Data Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Aspecto: Determinantes_sociais_saude / Equity_inequality / Ethics País/Região como assunto: America do sul / Brasil Idioma: En Revista: Int J Popul Data Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido