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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
A call-to-action: integrate a learning health system framework into longitudinal population studies to improve health
Damazo T Kadengye1,2, Agnes N Kiragga1
1Data Science Program, African Population and Health Research Center (APHRC), P.O. Box 10787-00100, Nairobi, Kenya.
Abstract:
Longitudinal population studies (LPSs) in Africa have the potential to become powerful engines of change by adopting a learning health system (LHS) framework. This is a call-to-action opinion and highlights the importance of integrating an LHS approach into LPSs, emphasizing their transformative potential to improve population health response, drive evidence-based decision making, and enhance community well-being. Operators of LPS platforms, community members, government officials, and funding agencies have a role to contribute to this transformative journey of driving evidence-based interventions, promoting health equity, and fostering long-term public health solutions for African communities.
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