{
  "annotation_id": "a464d4fc-b62b-48c1-ae75-984a4021ef4c",
  "date_created": "2026-03-02T18:01:35.498000Z",
  "date_modified": "2026-03-02T18:01:35.498000Z",
  "file_hash": "1c825325719db2131c0aa5a86a70f7ab514c8b85714f27a5da53dc98bcc75d7d",
  "private": false,
  "record": {
    "abstract": "Our work stems from the consideration that the spreading of a disease is\nmodulated by the individual\u0027s perception of the infected neighborhood and\nhis/her strategy to avoid being infected as well. We introduced a general\n``cellular agent\u0027\u0027 model that accounts for a hetereogeneous and variable\nnetwork of connections. The probability of infection is assumed to depend on\nthe perception that an individual has about the spreading of the disease in her\nlocal neighborhood and on broadcasting media. In the one-dimensional\nhomogeneous case the model reduces to the DK one, while for long-range coupling\nthe dynamics exhibits large fluctuations that may lead to the complete\nextinction of the disease.",
    "arxiv_id": "q-bio/0607010",
    "authors": [
      "Luca Sguanci",
      "Pietro Lio\u0027",
      "Franco Bagnoli"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1007/11861201_38",
    "journal_ref": "Lecture Notes in Computer Science. vol. 4173, pp. 321-329 (2006)",
    "title": "The influence of risk perception in epidemics: a cellular agent model",
    "url": "https://arxiv.org/abs/q-bio/0607010"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d5beabd8-90c0-4eed-97d1-55eddb88ecac",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}