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Soweto and Thembelihle Health and Demographic Surveillance System (SaT-HDSS)
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Sample details

SaT-HDSS is an urban-based HDSS in Soweto and Thembelihle, South Africa, established in 2017 as a component of an international programme on child health entitled Child Health and Mortality Prevention Surveillance (CHAMPS). The HDSS aims to provide population-level data for estimating rates of adverse pregnancy and child health outcomes. Baseline census was conducted in 2018, and the study conducts two rounds of follow-up household visits per year. As of 2019, the population under surveillance includes over 120,000 individuals in over 31,000 households in Soweto, Thembelihle and surrounding informal settlements.

Study design
Household panel, Community or village panel, Cohort

Number of participants at first data collection

124,169 (participants as of 2019)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Soweto and Thembelihle, South Africa in terms of population characteristics, composition and distribution.

Sample features

All ages
Population-based sample
Dataset details

Country

South Africa

Year of first data collection

2018

Primary Institutions

National Institute for Communicable Diseases (NICD)

University of the Witwatersrand, Johannesburg

Links

champshealth.org/site/south-africa/

doi.org/10.1093/cid/ciz609

Funders

Bill & Melinda Gates Foundation

Ongoing?
Yes

Data types collected

Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Participant or community advisory groups
  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Birth records and measurement
    Diet and nutrition
    Health and wellbeing
    Healthcare access and use
    Households
    Human immunodeficiency virus (HIV)
    Living conditions
    Migration
    Morbidity and mortality
    Population statistics
    Pregnancy
    Socioeconomics
    Water, sanitation, and hygiene (WASH)

    Consortia and dataset groups

    Child Health and Mortality Prevention Surveillance (CHAMPS)
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