{
  "id": 4757566,
  "title": "Integrating adaptive human behavior into epidemic models with large language models",
  "url": "https://urgent.news/2026/08/30/integrating-adaptive-human-behavior-into-epidemic-models-with-large",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-08-30T03:46:56.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.29535v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Infectious disease transmission is shaped by patterns of human interaction, which adapt as epidemic conditions change. Capturing these context-dependent behaviors remains a fundamental challenge for epidemic models. Here, we recast this challenge by using large language models (LLMs) to represent adaptive human behavior within mechanistic epidemic models. We operationalize this idea through…",
  "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."
}