Streamlining Predictive Analytics in Government Campaigns
Sangeeta Jobanputra of Connecti3 LLC in the U.S. together with the University of Rwanda and Multiverse Investments will develop a method that uses existing datasets and predictive analytics to better plan all types of health campaigns to broaden their coverage and minimize costs. The challenge of identifying those in need of a specific health service is a barrier to successful health campaigns. To address this, they will use existing databases to identify and score predictors of higher risk to a specific health condition, such as level of poverty in vitamin A deficiency. They will also incorporate data on the health campaign resources needed, such as facility location and medicines. These data will be used to develop algorithms that can identify the target population and predict the resources needed for an effective campaign.