# Child and Family Consequences of Congenital Zika Syndrome in Brazil

> **NIH NIH R01** · RESEARCH TRIANGLE INSTITUTE · 2020 · $553,522

## Abstract

PROJECT SUMMARY/ABSTRACT
The extensive outbreak of Zika and its devastating impact on infants exposed in utero have left many
vulnerable families facing the long-term implications of raising a child with potentially severe and limiting
disabilities. Although there has been international focus on the Zika outbreak, an urgent need for longitudinal
surveillance of affected infants and families remains. Through a partnership between researchers at RTI
International and the Altino Ventura Foundation (FAV), we have an unprecedented opportunity to study the
natural history of congenital Zika syndrome (CZS), long-term sequela, and factors associated with child and
family outcomes. We will enroll 240 infants with CZS and their families in a comprehensive, longitudinal
study of early childhood development, health, functional abilities, and family adaptation. This study has the
potential to increase knowledge about the short- and long-term needs of these families; promote
collaborative efforts to support families; and improve understanding of the prognosis, mediators/moderators,
and treatment possibilities for individuals affected by CZS. Further, we will use the study as a platform to
train investigators at FAV and build capacity for collaborative research beyond the initial funding period.

## Key facts

- **NIH application ID:** 9912805
- **Project number:** 5R01HD093572-04
- **Recipient organization:** RESEARCH TRIANGLE INSTITUTE
- **Principal Investigator:** Donald B Bailey
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $553,522
- **Award type:** 5
- **Project period:** 2017-08-17 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9912805

## Citation

> US National Institutes of Health, RePORTER application 9912805, Child and Family Consequences of Congenital Zika Syndrome in Brazil (5R01HD093572-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9912805. Licensed CC0.

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