Global health decisions rely on disease models, but most are built far from the communities they aim to serve. Researchers are calling for a shift toward countr
Researchers are advocating for a move towards country-led, locally-informed strategies in global health decision-making, particularly concerning disease modeling. They argue that current models are often developed without sufficient input from the communities they are intended to benefit, leading to potential inaccuracies and inequities. While artificial intelligence can be a valuable tool, its effectiveness is contingent on access to appropriate context and data. AI
IMPACT AI's role in global health modeling is highlighted as dependent on local context, suggesting a need for more equitable data practices.