# Enhancing the impact of the three CCCEH birth cohorts within the ECHO consortium.

> **NIH NIH UH3** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2021 · $770,945

## Abstract

Abstract
The Columbia Center for Children’s Environmental Health (CCCEH) has three multi-ethnic birth cohorts
contributing to the ECHO Consortium. Children in our cohorts live in the lower income Northern Manhattan
and South Bronx neighborhoods of New York City and are comprised of African American and Hispanic
women and their children. As described in this supplemental application, we respectfully request additional
funding in year 6 to achieve our EWCP milestones and goals. These funds would go principally to increase
our staff effort--many of whom are bilingual (English/Spanish) and from the same cultural background,
ethnicity, and neighborhoods in which the participants live. The additional funds requested in this supplement
will ensure that we can continue to provide extant and newly collected EWCP data from our three cohorts and
will create a more equitable situation among all of the ECHO cohorts. With the provision of these additional
resources, we will preserve our ability as ECHO members to exert a sustained, powerful influence on the
research fields involved and will support the inclusion and representation of diverse participants in ECHO who
are traditionally under-represented in research.

## Key facts

- **NIH application ID:** 10395219
- **Project number:** 3UH3OD023290-06S2
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Julie Beth Herbstman
- **Activity code:** UH3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $770,945
- **Award type:** 3
- **Project period:** 2016-09-21 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10395219

## Citation

> US National Institutes of Health, RePORTER application 10395219, Enhancing the impact of the three CCCEH birth cohorts within the ECHO consortium. (3UH3OD023290-06S2). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10395219. Licensed CC0.

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