Advancing Global Capacity to Detect and Respond to Fungal Diseases
ForecastedCenters for Disease Control - NCEZID
Description
This Notice of Funding Opportunity (NOFO) aims to support activities that build and strengthen sustainable fungal disease detection, diagnosis, surveillance, and response systems. Activities may address interconnected areas such as system and workforce development, laboratory and diagnostic capacity, and improved use of data to inform public health action. Through these efforts, this NOFO seeks to strengthen country and regional capacity to manage and control fungal diseases at their source while promoting long-term ownership and integration into public health systems. These efforts align with the priorities outlined in the America First Global Health Strategy by supporting country capacity to detect, respond to, and control priority fungal pathogens, particularly those that pose a risk for international spread and antifungal resistance, at their source. Over time, activities supported through this NOFO are intended to reduce the global burden of fungal diseases, strengthen health security, and help countries protect their own populations while also reducing risks to the United States through earlier detection and more effective response to fungal disease threats worldwide
Who can apply
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State controlled institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities / Indian housing authorities
- Native American tribal organizations (other than Federally recognized)
- Nonprofits with 501(c)(3) status (other than higher education)
- Nonprofits without 501(c)(3) status (other than higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Contact
- PostedApr 16, 2026
- Award floor$0
- Award ceiling$0
- Program funding$15,000,000
- Expected awards10
- CFDA93.318
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