Modeling Infectious Diseases in Healthcare (MInD Healthcare) to Improve Pathogen Prevention and Healthcare Delivery
Sector: Rail • Location: United States of America
Source: Grants.gov
The purpose of this Notice of Funding Opportunity (NOFO) is to support development of innovative and applied mathematical models and computational tools for:Modeling the spread of pathogens in healthcare settings, for example, healthcare-associated infections (HAIs) and antimicrobial resistant organisms (AROs).Predicting outbreaks of HAI pathogens and trends in the burden of antimicrobial resistan
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | forecasted |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The purpose of this Notice of Funding Opportunity (NOFO) is to support development of innovative and applied mathematical models and computational tools for:Modeling the spread of pathogens in healthcare settings, for example, healthcare-associated infections (HAIs) and antimicrobial resistant organisms (AROs).Predicting outbreaks of HAI pathogens and trends in the burden of antimicrobial resistant and susceptible HAIs.Assessing the effectiveness of intervention strategies.This NOFO will increase training and workforce development opportunities about applied public health modeling, including collaboration with public health partners. Models developed by HAI and ARO leaders within the Modeling Infectious Diseases in Healthcare (MInD Healthcare) network could help public health partners make informed decisions and optimize evidence-based prevention strategies to respond to evolving public health needs and emergencies in healthcare settings. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
