Improving estimates of COVID-19 transmission and immunity in communities
Statistical adjustments of sample representation in community-level estimates of COVID-19 transmission and immunity
['FUNDING_U01'] · UNIVERSITY OF MICHIGAN AT ANN ARBOR · NIH-10995286
This study is looking to get a clearer picture of how COVID-19 spreads and how immune people are in our communities by gathering and analyzing testing data from hospitals, so we can better understand the virus and help everyone stay healthy, especially those in different demographic groups.
Quick facts
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MICHIGAN AT ANN ARBOR (nih funded) |
| Locations | 1 site (ANN ARBOR, UNITED STATES) |
| Trial ID | NIH-10995286 on ClinicalTrials.gov |
What this research studies
This research aims to develop a more accurate understanding of COVID-19 transmission and immunity within communities by addressing biases in existing data. It will collect routine testing data and antibody seropositivity from patients in a hospital system, using advanced statistical methods to adjust for differences between sample populations and the broader community. The goal is to create a reliable metric that reflects true viral incidence and immunity levels, while also examining health disparities among different demographic groups. This information will help monitor the epidemic and inform public health responses.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals from diverse demographic backgrounds, particularly those in vulnerable populations who may be affected by health disparities related to COVID-19.
Not a fit: Patients who are not part of the community being studied or those who have already been vaccinated and are not experiencing any symptoms may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective public health strategies and improved health outcomes for communities affected by COVID-19.
How similar studies have performed: Other research has shown success in using statistical adjustments to improve public health data accuracy, making this approach both relevant and promising.
Where this research is happening
ANN ARBOR, UNITED STATES
- UNIVERSITY OF MICHIGAN AT ANN ARBOR — ANN ARBOR, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SI, YAJUAN — UNIVERSITY OF MICHIGAN AT ANN ARBOR
- Study coordinator: SI, YAJUAN
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.
Conditions: asymptomatic coronavirus disease 2019, asymptomatic SARS-CoV-2 infection