19andMe
19andMe estimates individualized risk of severe COVID-19 outcomes by integrating geographic case data and published scientific evidence to produce quantitative estimates of exposure, hospitalization, intensive care unit admission, and mortality risk.
Key Features:
- Personalized Risk Assessment: Evaluates individual risk using geography, demographics, health conditions, and adherence to public health guidelines to generate exposure, hospitalization, ICU admission, and mortality estimates.
- Evidence-Based Methodology: Integrates the latest scientific literature and geographic case data and is updated to reflect recent evidence.
- Validation and Consistency: Validation studies report mortality agreement with Nexoid within 10% for 98.5% of users and a Spearman correlation coefficient (rs) of 0.91 for mortality estimates.
- Correlation with Other Tools: Exposure risk estimates correlate with Nexoid (rs = 0.48), and predictions for hospitalization, ICU admission, and mortality correlate with COVID-19 Estimated Risk (COVER) (rs = 0.89, 0.87, and 0.93, respectively).
Scientific Applications:
- Individual risk management: Provides quantitative individualized risk estimates to inform personal risk-mitigation considerations.
- Public health communication: Supplies stratified risk estimates by geography and demographics to support population-level risk messaging and planning.
- Epidemiological research: Supports analyses of COVID-19 impact across populations and regions by combining geographic case data with literature-derived risk factors.
- Health informatics integration: Facilitates incorporation into research and public health workflows via programmatic integration for broader analytics and strategy development.
Methodology:
Integrates geographic case data and published evidence to compute personalized risk estimates for exposure, hospitalization, ICU admission, and mortality, with validation performed via comparisons to Nexoid and COVID-19 Estimated Risk (COVER) using Spearman correlation coefficients (exposure rs = 0.48; hospitalization rs = 0.89; ICU rs = 0.87; mortality rs = 0.93) and mortality agreement within 10% for 98.5% of users (mortality rs = 0.91).
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- api, web application
- Programming Languages:
- R
- Added:
- 6/14/2021
- Last Updated:
- 8/9/2021
Operations
Publications
Hu X, Starling J, Lipman E, Pendl-Robinson E. Developing and validating an individual-level risk calculator for COVID-19 in the United States. Unknown Journal. 2021. doi:10.21203/rs.3.rs-456971/v1.