Discover the Projects of Grand Challenges Brazil

Projects

System for identification, monitoring, and forecasting of maternal near miss cases

Data science
Brazilian Obstetric Observatory

Data science
Make childbirth interventions more visible through information systems

Data science
Using a database of multiple environmental pollutants to establish critical limits on exposure to air pollution in maternal and child health in Brazil

Data science
AMPLIA SAÚDE – pre and perinatal period observatory

Data science
Use of real-world data and machine learning to monitor maternal mortality and severe maternal morbidity

Data science
The intergenerational impact of conditional cash transfers on newborn health

Data science
Using geocoded big data to identify causal links between infectious diseases and child developmental outcomes

Data science
Data-driven risk stratification for preterm birth in Brazil: development of a machine learning based innovation for health care

Data science
Use of interactive infographic in the PMCP – Analysis of indicators to improve the quality of maternal and child health

Data science
Using the 100M Cohort to establish critical air pollution thresholds for safe childbirth in Brazil

Data science
Influenza in Pregnancy and Birth Outcomes in the Brazilian Semi-Arid: The INFLUEN-SA Study

Data science
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