Same framework, applied to Epidemiology

The framework's value lies in its universality across disparate domains. The brake operator \(\mathcal{B}\), dispersion \(\mathcal{S}\), consensus \(\mathcal{M}\), spectral primitive \(\mathcal{P}\), anti-shadow detector \(\mathfrak{A}\), and scope-reporter \(\mathscr{A}\) — together with Theorems 1–13 — are applied here exactly as on every other domain. Source code: github.com/senuamedia/uniformity. No per-domain calibration. No imported threshold. No bespoke fit.

What the framework provides for epidemiology

Public-health epidemiology uses SEIR compartmental models, phenomenological growth-rate fits, and parametric variant-specific models. The framework's planned contribution is a unified brake exponent \(\beta\) extracted from log|case-rate| against log|case-count|, applied identically across countries, variants, and historical pandemics — addressing whether post-peak decay is universal across populations under Law III.

Status

Open direction

No strong catalogue instance yet. domains/epidemiology/ — experiments directory empty.

Open applications

  • COVID-19 post-peak decay cross-country universality — brake operator on case-count decay across countries through alpha, delta, omicron variants.
  • Variant-specific decay class — cross-variant \(\sigma_{\text{cross}}\).
  • Cross-pathogen universality — flu vs COVID-19 vs historical pandemics (1918, 1957, 1968, 2009).
  • Behavioural-intervention impact detection — PELT change-points on the \(\beta\) time series.

Framework reading

Cross-population brake exponent gives a model-free way to quantify when an intervention bites, without imposing parametric SEIR structure. Honest reporting under Law V: this domain has no catalogue instance reported.