Challenges in Estimating Time-Varying Epidemic Severity Rates from Aggregate Data.¶
Shioda, K. (2024). Challenges in Estimating Time-Varying Epidemic Severity Rates from Aggregate Data.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Aggregate-Marginal Divergence
- Epidemiology and healthcare. Total case counts fall while case-fatality in the most vulnerable subgroup rises, or hospital-wide readmission falls while the highest-acuity stratum worsens.
This sourceShows that severity rates (e.g., case-fatality) estimated from ratios of aggregate counts carry large biases and can fail to detect heightened risk in shifting subpopulations — supporting that aggregate case counts mask a reversed marginal/per-cohort vulnerability trend, and that per-cohort/per-wave measurement is the repair.
- Epidemiology and healthcare. Total case counts fall while case-fatality in the most vulnerable subgroup rises, or hospital-wide readmission falls while the highest-acuity stratum worsens.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:9b213e789229 · see in the full table