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Limited Competition: Data Analysis and Sharing Center (DASC) for the MACS/WIHS Combined Cohort Study (MWCCS) (U01 Clinical Trials Not Allowed)

Sector: Residential • Location: United States of America

Source: Grants.gov

Project
Closed

The purpose of this Notice of Funding Opportunity (NOFO) is to renew the MACS/WIHS Combined Cohort Study of HIV in United States Adults (MWCCS) for a 7-year project period (2026-2033). Continuation of this epidemiological cohort study of middle-aged and older people living with HIV (PLWH), along with comparable individuals living without HIV (PLWOH) will enable the continued follow-up of a deeply

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The project “Limited Competition: Data Analysis and Sharing Center (DASC) for the MACS/WIHS Combined Cohort Study (MWCCS) (U01 Clinical Trials Not Allowed)” is an infrastructure initiative in the Residential sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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closed

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Description

Description

The purpose of this Notice of Funding Opportunity (NOFO) is to renew the MACS/WIHS Combined Cohort Study of HIV in United States Adults (MWCCS) for a 7-year project period (2026-2033). Continuation of this epidemiological cohort study of middle-aged and older people living with HIV (PLWH), along with comparable individuals living without HIV (PLWOH) will enable the continued follow-up of a deeply phenotyped cohort of approximately 5,500 participants from across the United States. This initiative will utilize a populomics approach, i.e., examination of health determinants across multiple scales of influence (e.g. molecular, cellular, physiological, lifestyle/behavioral, household, neighborhood, environmental, cultural, and sociopolitical) using multi-disciplinary methods to investigate the web of influences impacting the health, quality of life, and survival of adults living with HIV. This NOFO seeks applications to fund a single Data Analysis and Sharing Center (DASC) for the MWCCS, with competition limited to institutions who were funded under RFA-HL-19-007.

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Source reliability

High

Data quality score

100%

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More Details

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