Out-of-date browser detected
Your browser appears to be out-of-date, and portions of the site may not function as intended.
Please install a current version of Chrome, Firefox, Edge, or Safari for a better experience.
Purpose
to use data science tools to develop a deep understanding of the risk factors contributing to poor outcomes in maternal and child health in collaboration with CNPq and the Brazilian Ministry of Health
Grantee
Division
Global Health
Year Awarded
2018
Region Served
GLOBAL
Committed Amount
$50,000
Grant Topic
Discovery and Translational Sciences
Duration (Months)
25
Grantee Location
Fortaleza, Ceará, Brazil
More about our work
Our work
Learn about where we work around the globe and the programs we’ve created to address urgent issues in global health, global development, and education.
How we work
We are focused on results. Those that can be measured. And those measured in ways beyond numbers.