Value of information analysis in decision-analytic modeling for malaria control in africa
Learning Areas:Biostatistics, economics
Communication and informatics
Public health or related public policy
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health
Describe the structure and roles of the Malaria Decision Analysis Support Tool (MDAST) in assessing the health, social, and environmental risks and benefits associated with alternative malaria control strategies in Kenya, Tanzania, and Uganda. Identify information gaps and uncertainties in designing MDAST with selected parameters and quantitatively assess value of information (VOI) for malaria control policy decisions. Discuss how the findings from the VOI analysis would enable users of the MDAST tool to invest optimally in the acquisition of new information that will in turn support better choices among malaria control options.
Qualified on the content I am responsible for because: I have been participating in the WHO-funded project focusing on the development of a decision-analytic policy support tool for malaria control. I have taken the leading role of performing value-of-information analyses which identify information gaps and uncertainties in malaria control decisions in Africa.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.