{
  "id": 16558278,
  "title": "Modeling and Detecting Downward Causation in Disease Transmission",
  "url": "https://urgent.news/2026/10/25/modeling-and-detecting-downward-causation-in-disease-transmission",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-25T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.20.760281v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We compare two epidemic models: the deterministic SIR (Susceptible-Infected-Recovered) model and the maximum-entropy-based DyMES (Dynamic Maxent across Entwined Scales) framework. In contrast to the widely used SIR model, the recently proposed DyMES model incorporates both top-down and bottom-up mechanisms and thus can capture local responses to global behavior. We simulate both models in three…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}