LESE-EIA Structural Coherence Analysis Applied to Infectious Disease: Dengue, Leishmaniasis, Chagas, Malaria P. vivax, COVID-19, and HIV

This document presents the systematic application of the LESE-EIA (Local Entropic Stability Engine — Entropic Intelligence Architecture) framework to six infectious pathogens: Dengue fever (DENV 1-4), Leishmaniasis, Chagas disease, Malaria caused by Plasmodium vivax, COVID-19 (SARS-CoV-2), and HIV.

For each pathogen, the structural coherence metric W_ij ∈ (0,1] evolves under the single postulate dW/dτ = κ(1 + log W), yielding the universal fragility threshold W* = e⁻¹ = 0.36788 without calibration. The document provides: (1) mechanistic LESE analysis of the structural pathology; (2) W-profile across clinical stages; (3) complete evidence-based intervention protocol with explicit divergences from official guidelines where LESE structural analysis identifies improvements; (4) follow-up and prevention.

The six pathogens constitute a complete taxonomy of structural pathological processes: ADE sign inversion (dengue), phagocytic inversion (leishmaniasis), molecular mimicry misdirection (Chagas), suspended tau_collapse via dormant forms (malaria P. vivax / HIV reservoir), three-level simultaneous collapse (COVID-19), and the longest documented W-correction sequence in modern medicine (HIV 1987-2026).

Framework: LESE-EIA v10.0 — EGESB-G₂. DOI methodology: 10.5281/zenodo.20034598.
All data from publicly available sources. Not clinical advice.

Related publications:
- EGESB-G₂ v10.0 framework: doi:10.5281/zenodo.20034598
- Oncology series: doi:10.5281/zenodo.20536960  
- SMR/KEFF validation: doi:10.57967/hf/8914