Mathematical modeling is a valuable tool for informing policy-making and programmatic decision-making in the public health domain. Modeling can be applied to analyze key areas from disease burden estimation, to evaluating the potential impact of control interventions, to informing product development. Approaches to guide public health action led by local modeling units and co-created with decision-makers, bring an invaluable understanding of relevant local/regional context and questions, enabling higher impact.