Malaria transmission is spatially heterogeneous. This is particularly true in elimination settings where malaria is rare and clustered into hotspots. Understanding where transmission occurs and targeting those areas with interventions is therefore critical to cost-effective program implementation. In many resource constrained settings, however, the capacity to collect, analyze and act on spatial data is limited, hindering implementation of efficient and cost-effective operations. Touching on spatial modeling, satellite imagery, ensemble machine learning and development of the DiSARM (Disease Surveillance And Risk Monitoring) platform, in this talk I will outline some of the work we are doing to provide malaria programs with the tools required to more effectively plan, execute and monitor malaria elimination programs. The relevance of this work outside malaria (neglected tropical diseases and vaccine preventable diseases) will also be discussed.
Wednesday, January 17 at 3:00pm to 4:00pm
Mission Hall, 2700
550 16th St, San Francisco, CA 94158