Understanding and predicting bacterial infections in hospitals during COVID-19.
RFA-CK20-003: Analysis and Simulation of Bacterial Infections and Resource Strain in Hospitals during the COVID-19 Pandemic
This study is looking at how to predict and manage infections that are resistant to antibiotics in hospitals, especially during the COVID-19 pandemic, so that doctors can better protect patients like you from these infections.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11031920 on NIH RePORTER |
What this research studies
This research focuses on developing advanced models to simulate and forecast outbreaks of antimicrobial-resistant (AR) infections in hospitals, particularly during the COVID-19 pandemic. By analyzing hospitalization records and diagnostic data from major hospitals in New York City, the project aims to identify individual patient risks and optimal intervention strategies. The researchers will create two types of mathematical models: one that simulates infection dynamics across multiple healthcare facilities and another that tracks individual patient movements and infection status. This approach will help healthcare providers better manage and prevent healthcare-associated infections.
Who could benefit from this research
Good fit: Ideal candidates for this research include hospitalized patients who are at risk of acquiring antimicrobial-resistant infections.
Not a fit: Patients who are not hospitalized or do not have a risk of infection from antimicrobial-resistant pathogens may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for preventing and controlling bacterial infections in healthcare settings, ultimately enhancing patient safety.
How similar studies have performed: Other research has shown success in using mathematical modeling to predict infectious disease outbreaks, indicating that this approach has potential for impactful results.
Where this research is happening
New York, United States
- Columbia University Health Sciences — New York, United States (Active)
Researchers
- Principal investigator: Shaman, Jeffrey L — Columbia University Health Sciences
- Study coordinator: Shaman, Jeffrey L
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.