Modeling Infectious Diseases in Healthcare (MInD Healthcare) to Improve Pathogen Prevention and Healthcare Delivery
ID: 355935Type: Posted
Overview

Buyer

Centers for Disease Control - NCEZID (HHS-CDC-NCEZID)

Award Range

$550K - $650K

Eligible Applicants

Private Institutions of Higher Education

Funding Category

Health

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/355935
Timeline
    Description

    The Centers for Disease Control and Prevention (CDC) is inviting applications for the Modeling Infectious Diseases in Healthcare (MInD Healthcare) initiative, aimed at enhancing pathogen prevention and healthcare delivery through innovative mathematical modeling. The program seeks to develop computational tools to model the spread of healthcare-associated infections (HAIs) and antimicrobial-resistant organisms (AROs), predict outbreaks, and assess intervention strategies, with a focus on addressing health disparities among vulnerable populations. Eligible applicants include private institutions of higher education, with funding amounts ranging from $550,000 to $650,000, and a total estimated program funding of $19.5 million available for approximately six awards. Interested parties must submit their applications electronically by March 19, 2025, and can contact Nga Vuong at ypg2@cdc.gov for further information.

    Point(s) of Contact
    ypg2@cdc.gov
    Files
    Title
    Posted
    cdc-rfa-ck-25-0018.pdf
    The document outlines a Notice of Funding Opportunity (NOFO) from the CDC, inviting applications for the Modeling Infectious Diseases in Healthcare (MInD Healthcare) initiative to enhance pathogen prevention and healthcare delivery. The application deadline is March 19, 2025, with funding expected between $16.5 million and $19.5 million for projects focusing on mathematical modeling of healthcare-associated infections (HAIs) and antimicrobial-resistant organisms (AROs). Eligible applicants include state and local governments, educational institutions, and nonprofits. The program aims to develop computational models to understand pathogen transmission in healthcare settings, predict outbreaks, and evaluate intervention effectiveness. A priority is to address health disparities and health equity, particularly among vulnerable populations at increased risk of infections. The document specifies required strategies, including conducting modeling activities related to various pathogens and providing workforce development opportunities for early-career public health modelers. The awarded projects will collaborate within the MInD Healthcare Network to enhance scientific knowledge and optimize infection prevention strategies. The funding initiative emphasizes innovative approaches in disease dynamics, data collection, and model validation, contributing to public health preparedness and decision-making.
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