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Centre for Data and Knowledge Integration for Health (CIDACS)
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Sample details

CIDACS aims to conduct interdisciplinary studies and research, develop new scientific methodology, and promote professional training using linked large-scale databases and high-performance computational resources in a secure environment. The CIDACS was created in 2016 in Salvador, Brazil. Administrative data is at the core of the activities conducted by CIDACS. The primary data source is the Unified Registry for Social Programmes (CadUnico) database, which includes individuals eligible to receive benefits from over 20 governmental social protection programmes. By 2015, more than 114 million people were registered in CadUnico, representing 57% of the entire Brazilian population. Some of the other databases currently stored at CIDACS, such as those detailing information on deaths, births, notification of infectious diseases, and other acute events, cover the entire Brazilian population.

Study design
Registry

Number of participants at first data collection

No information available

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The Brazilian population.

Sample features

Population-based sample
Dataset details

Country

Brazil

Year of first data collection

2016 (CIDACS registry)

2000 (linkage to Mortality Information System (SIM))

Primary Institutions

Oswaldo Cruz Foundation (Fundação Oswaldo Cruz, FIOCRUZ)

Links

cidacs.bahia.fiocruz.br/

bahia.fiocruz.br/cidacs/

Funders

Financiadora de Estudos e Projetos (FINEP)

Bill & Melinda Gates Foundation

Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq)

Department of Science and Technology

Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Other government data
  • Tax, income & benefit data
Features

Engagement

  • Community engagement
  • Keywords

    Administrative data
    Benefits and claims data
    Diet and nutrition
    Disease
    Healthcare access and use
    Housing
    Morbidity and mortality
    Physical health
    Sub-studies
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