Round 1

Projects in Round 1

The intergenerational impact of conditional cash transfers on newborn health

It aims to analyze the relationship between a conditional - cash transfer program and the child health, considering two family generations and using two…
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Using geocoded big data to identify causal links between infectious diseases and child developmental outcomes

Infectious diseases may have only transitory impacts on pregnant mothers, but they can have lasting impacts on children. Can public interventions mitigate…
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Data-driven risk stratification for preterm birth in Brazil: development of a machine learning based innovation for health care

Causes and performing early identifying the preventable risk stratification of pregnant women are instrumental to develop strategies to prevent and reduce…
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Use of interactive infographic in the PMCP - Analysis of indicators to improve the quality of maternal and child health

It aims to develop a platform for the analysis and visualization of data that will allow stakeholders involved in the Mãe Coruja Program at Pernambuco…
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Using the 100M Cohort to establish critical air pollution thresholds for safe childbirth in Brazil

Does air pollution affect the rates of stillbirths, congenital malformations and neonatal mortality? This study aims to answer this question by merging…
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Influenza in Pregnancy and Birth Outcomes in the Brazilian Semi-Arid: The INFLUEN-SA Study

Studies show that seasonal influ enza in Northeastern state of - Ceará occurs 2-3 months earlier than in the South and Southeast, where the national calendar…
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Data science to inform the design and evaluation of interventions to improve perinatal outcomes: lessons from the Mãe Coruja program

It aims to evaluate the effective ness of Mãe Coruja interventionin reducing low birthweight and preterm birth. The study will use the Cidacs dataset…
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Spatial analysis of children vaccination coverage and their relation to socioeconomic and health characteristics in Brazil

By analyzing national children vaccination coverage from spatial perspectives, the study aims to uncover insights into traditional surveillance. This will…
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Assessing the impact of hospital-based breastfeeding interventions on infant health

It aims to access all 68.3 million living births certificates from Brazil, from 1994 to 2016, and compare them with breastfeeding policies in all Brazilian…
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Decision-Making Support Platform Based on Visual Analytics and Machine Learning to Subsidize Public Politics Focused on Gestational Health

The project will develop a platform to provide services and support for decision making on neonatal death preventive actions by using data from Cidacs…
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How and when: disentangling cash and care effects of CCTs on Birth Outcomes

It seeks to understand the impacts of the Bolsa Família conditional cash transfer on birth outcomes (e.g., birth weight, gestational weeks, etc). It will…
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Early childhood development friendly index: assessing the enabling environment for nurturing care in Brazilian municipalities

It will develop an Early Childhood Development friendly index (ECDFI) using evidence-based nurturing care indicators to assess the factors contributing…
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Potential pregnancy days lost (PPDL): an innovative gestational age measure to assess maternal and child health interventions and outcomes

It aims to develop and explore an innovative measure of gestational age – “potential pregnancy days lost” (PPDL) – to produce evidence of its association…
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New gestational weight gain recommendations for the Brazilian Unified Health System (SUS)

It aims to validate the International Fetal and Newborn Growth Consortium for the 21st century (Intergrowth-21st) standards for gestational weight gain…
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Latest studies published in Round 1

No studies registered.

News in Round 1

22/08/2023

Six groundbreaking Brazilian projects were selected in the Grand Challenges RfP for "Catalyzing Equitable Artificial Intelligence (AI) Use."

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14/07/2023

LAUNCH - GC PALOP RFP

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No news registered.