# NYU DiCAYA Coordinating Center (COC)

> **NIH ALLCDC U18** · NYU WINTHROP HOSPITAL · 2020 · $500,000

## Abstract

Diabetes is one of the most common chronic diseases in childhood and young adulthood and requires lifelong
treatment, management, and care. Better understanding of the burden of diabetes in these populations can
improve healthcare planning and inform prevention strategies. Previous studies have yielded valuable
information on the incidence and prevalence of diabetes in children, adolescents, and young adults; however,
ongoing accurate and timely surveillance is needed to monitor trends and anticipate future needs. As the NYU
Coordinating Center (NYU CoC) for this Cooperative Agreement, we will provide the infrastructure and expertise
to guide development and validation of harmonized and standardized surveillance measures and develop
analytical methods to provide unbiased estimates of diabetes trends among children, adolescents, and young
adults. Specifically, the NYU CoC aims to: 1) develop and maintain a central data repository and provide the
infrastructure for secure transmission and management of data; 2) develop and maintain a study website for
data entry and dissemination of information among study investigators and to the public; 3) provide required
training for clinical staff and facilitate their interaction with study materials, documentation, and data collection;
4) provide expertise and leadership in developing, implementing, and evaluating a network of surveillance
systems designed for population-based estimation; 5) provide statistical, epidemiologic, and analytic expertise
and support for all aspects of the study; and 6) support the timely dissemination of study results. The NYU CoC
leadership has significant experience leading multi-center studies and data coordinating centers, as well as
specific expertise in designing surveillance systems based on electronic health records (EHRs) that integrate
sound epidemiologic and study design principles to ensure completeness, appropriate representativeness, and
generalizability of results. The NYU CoC will also provide strong expertise in analyzing and integrating data from
complex surveys and administrative databases with EHR data to generate unbiased estimates of prevalence,
incidence, and trends in type 1 and type 2 diabetes. Finally, the team has demonstrated expertise in advanced
statistical methods for bias correction and in combining geographic information systems with new advances in
small-area estimation to identify and characterize neighborhood-level characteristics that drive observed
disparities in diabetes incidence and diabetes-related complications. With this combination of skills, the NYU
CoC is poised to deliver an unrivaled system for surveillance of diabetes in youth and young adults that provides
accurate, representative, timely, and stable data over time to help determine trends.

## Key facts

- **NIH application ID:** 10085051
- **Project number:** 1U18DP006510-01
- **Recipient organization:** NYU WINTHROP HOSPITAL
- **Principal Investigator:** Jasmin Divers
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2020
- **Award amount:** $500,000
- **Award type:** 1
- **Project period:** 2020-09-30 → 2025-09-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10085051

## Citation

> US National Institutes of Health, RePORTER application 10085051, NYU DiCAYA Coordinating Center (COC) (1U18DP006510-01). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10085051. Licensed CC0.

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