Purpose
to aid malaria elimination efforts in Zimbabwe by building an ontology-based data integration framework to translate diverse datasets such as disease incidence and rainfall into visual patterns of malaria progression across time and space
Grantee
Division
Global Health
Date
APRIL 2017
Region served
GLOBAL
Committed amount
$100,000
Grant topic
Discovery and Translational Sciences
Duration (months)
19
Grantee location
chicago, Illinois, United States
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