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Dikgale, Mamabolo and Mothiba Health and Demographic Surveillance System (DIMAMO HDSS)
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Sample details

The DIMAMO HDSS, previously known as the Dikgale HDSS, includes approximately 116,000 participants from the Eastern Region of Capricorn District in Limpopo Province in South Africa and is part of the South African Population Research Infrastructure Network (SAPRIN). The study aims to assess demographic dynamics and health outcomes to inform public health policies and interventions. Participants primarily consist of rural residents who were initially recruited through household visits in 1996, with expansions in 2010 and 2018 to include more individuals. Initially, the study began with 8,071 participants, expanded to 42,000 in 2010, and reached approximately 100,000 by 2019, with participants being followed up three times annually.

Study design
Cohort, Cohort - open, Household panel

Number of participants at first data collection

8,071 (participants)

Recruitment is ongoing

Age at first data collection

Varied (partcipants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The under-resourced and vulnerable populations of South Africa.

Sample features

Households and household members
Rural populations
Dataset details

Country

South Africa

Year of first data collection

1996

Primary Institutions

South African Medical Research Council (SAMRC)

University of Limpopo (Universiteit van Limpopo)

Links

saprin.mrc.ac.za/dimamo.html

doi.org/10.1093/ije/dyv157

Funders

Flemish Interuniversity Council (VLIR)

Department of Science and Innovation (DSI)

Free University Amsterdam (Vrije Universiteit Amsterdam)

International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) Network

National Research Foundation

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Education data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Other government data
Features

Engagement

  • Participant or community advisory groups
  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Community-based
    Disease prevention
    Healthcare access and use
    Midlife
    Noncommunicable diseases
    Policy-making
    Population health
    Rural areas

    Consortia and dataset groups

    Collaboration for the Establishment of an African Population Cohorts Consortium (CE-APCC)
    South African Population Research Infrastructure Network (SAPRIN)
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