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African-Led Population
Science Thrusts Health
Equity
contexts. This is particularly important where routine
Understanding Communities Over Time health information systems are incomplete, as in rural
areas where civil registration or health facility data may
Population-based science follows entire communities underreport key events. Longitudinal population data
over time to understand patterns of health and disease. fills these gaps and allows for more accurate, evidence-
Unlike one-off studies, this approach collects continuous based decisions.
information about births, deaths, migration, health
events, and social changes. In South Africa, the South
African Population Research Infrastructure Network Revealing Inequalities, Facilitating
(SAPRIN) uses Health and Demographic Surveillance Impact
System (HDSS) nodes. Nodes are specific geographic
areas or communities where researchers regularly collect Population-based research is uniquely positioned to
data to track households multiple times a year, providing show inequalities and identify groups at risk of being
locally grounded and reliable data for planning and overlooked. SAPRIN’s data combines demographic,
policy.By observing communities rather than isolated clinical, and social information, highlighting how factors
individuals, researchers can detect emerging health such as gender, migration, social stressors, and access to
trends early and evaluate interventions in real-world healthcare influence outcomes.
32 THE SOUTH AFRICAN MEDICAL RESEARCH COUNCIL

