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Community Characteristics Associated with Geographic Disparities in Diabetes and Cardiometabolic Health

Sector: Warehouse • Location: United States of America

Source: Grants.gov

Project
Archived

This FOA has two components, A and B.Component A supports applications aimed at examination of county-level disparities in type 2 diabetes and cardiometabolic conditions to enhance understanding of disease determinants. Applicants will test hypotheses aimed at clarifying the contribution of environmental or socioeconomic circumstances to diabetes geographic disparities. As part of this initiative,

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The project “Community Characteristics Associated with Geographic Disparities in Diabetes and Cardiometabolic Health” is an infrastructure initiative in the Warehouse sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

This FOA has two components, A and B.Component A supports applications aimed at examination of county-level disparities in type 2 diabetes and cardiometabolic conditions to enhance understanding of disease determinants. Applicants will test hypotheses aimed at clarifying the contribution of environmental or socioeconomic circumstances to diabetes geographic disparities. As part of this initiative, Component A awardees will also be asked to form a common protocol and data management plan for the collection of a core set of exposure and outcome variables to permit multi-center analyses.Component B of this FOA solicits applications for a study Coordinating Center (CC) to provide logistics, data management, and analysis support to the multi-center research study.It is anticipated that 5 awards (4 for Component A and 1 for component B) will be made under this FOA. An institution (normally identified by having a unique DUNS number) may submit no more than one application for Component A and no more than one for component B. However, no institution will receive more than one award under this funding announcement; an awardee for Component B will not also receive an award for Component A.

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Source reliability

High

Data quality score

100%

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URL

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