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Pregnant People-Infant Linked Longitudinal Surveillance

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Archived

CDC proposes to allocate funds to implement Notice of Funding Opportunity (NOFO) DD-23-0003, Pregnant People-Infant Linked Longitudinal Surveillance. The project period will be four years, with 4, 12-month budget periods and an anticipated project start date of September 30, 2023. The purpose of this NOFO is to sustain, improve, and expand surveillance efforts from entities that have data systems

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The project “Pregnant People-Infant Linked Longitudinal Surveillance” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Description

Description

CDC proposes to allocate funds to implement Notice of Funding Opportunity (NOFO) DD-23-0003, Pregnant People-Infant Linked Longitudinal Surveillance. The project period will be four years, with 4, 12-month budget periods and an anticipated project start date of September 30, 2023. The purpose of this NOFO is to sustain, improve, and expand surveillance efforts from entities that have data systems to identify pregnant people-infant linked longitudinal data to ensure timely reporting of key exposures and outcomes that impact pregnant people and infants, to improve data quality and share evolving outcome data, to innovate clinical strategies, and to build a strong collaborative network. Priority exposures and outcomes of public health interest may include, but are not limited to, medication for opioid use disorder, cytomegalovirus, neonatal abstinence syndrome, stillbirths, and other conditions that may have serious public health impacts on pregnant people and infants. CDC will also fund entities with informatics expertise to advance interoperability, evaluate data quality, and disseminate data through visualizations. Furthermore, this network could be leveraged for emerging, reemerging, and persistent public health threats to pregnant people and infants.

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Source reliability

High

Data quality score

100%

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