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Round 1
Contents:
Challenge
Goal
Projects
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Round 1
Challenge
Goal
Projects
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
Data science to inform the design and evaluation of interventions to improve perinatal outcomes: lessons from the Mãe Coruja program
Data science
Spatial analysis of children vaccination coverage and their relation to socioeconomic and health characteristics in Brazil
Data science
Assessing the impact of hospital-based breastfeeding interventions on infant health
Data science
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