Detecting and analyzing outbreaks of infectious respiratory diseases
Automated Surveillance of Overlapping Outbreaks and New Outbreak Diseases
This study is working on new ways to quickly spot and understand outbreaks of respiratory infections, like the flu or COVID-19, by using information from hospitals, labs, and even social media, so that health officials can respond faster and keep everyone safe.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-10653930 on NIH RePORTER |
What this research studies
This research focuses on developing advanced methods to automatically detect and analyze outbreaks of infectious respiratory diseases, including both known and emerging diseases. By utilizing diverse data sources such as emergency department reports, laboratory results, and even social media activity, the project aims to identify overlapping outbreaks and new disease threats quickly. The methodology employs a Bayesian probabilistic system that processes this data to predict outbreak characteristics, such as timing and severity, which can be crucial for timely public health responses.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who may be affected by respiratory infections or those living in areas prone to outbreaks.
Not a fit: Patients with non-respiratory infectious diseases or those not residing in outbreak-prone areas may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster identification and response to infectious disease outbreaks, potentially saving lives and reducing morbidity.
How similar studies have performed: Other research has shown promise in using automated methods for outbreak detection, indicating that this approach could be effective.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Cooper, Gregory F. — University of Pittsburgh at Pittsburgh
- Study coordinator: Cooper, Gregory F.
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.