Improving community detection and prevention of tuberculosis using data analysis
Official title: Integrating genomic and spatial insights on Mtb transmission into policy-relevant models
Funded at Johns Hopkins University · NIH-10866050 · Data updated 2026-11-12
This study is looking at how we can better find and prevent tuberculosis in communities by using new data, like cell phone records and genetic information, to figure out the best ways to help people at risk.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $127,980 |
| NIH project number | 1K01AI182503-01 |
| Project ID | NIH-10866050 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living in high-burden areas for tuberculosis who may be at risk of undiagnosed TB.
✕Less likely to help
Patients who are not at risk for tuberculosis or those living in low-burden areas may not receive any benefit from this research.
What this research studies
This research focuses on enhancing the detection and prevention of tuberculosis (TB) by integrating genomic data and spatial insights into community-based interventions. By analyzing novel data sources, such as cell phone records and genomic sequencing, the project aims to identify the most effective ways to target TB screening and preventive treatment in high-burden areas. The research will utilize advanced statistical models to understand the transmission dynamics of TB and develop strategies that are both impactful and cost-effective for communities.
Why it matters
Potential benefit: If successful, this research could lead to more efficient and effective TB screening and prevention strategies, ultimately reducing the incidence of TB in communities.
How similar studies have gone: Previous research has shown success in using data-driven approaches to improve disease detection and prevention, indicating that this methodology has potential for impactful outcomes.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Ryckman, Theresa — Johns Hopkins University
- Study coordinator: Ryckman, Theresa
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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.