{
  "annotation_id": "341c19aa-b6b0-48d6-b0ee-147f3e9ae268",
  "date_created": "2026-03-02T18:01:34.673000Z",
  "date_modified": "2026-03-02T18:01:34.673000Z",
  "file_hash": "101699c2caf26af8952058d6f496c4ad121699ed457258898c50c526ca380b1f",
  "private": false,
  "record": {
    "abstract": "We define and analyze an inductive reasoning game of voluntary yearly\nvaccination in order to establish whether or not a population of individuals\nacting in their own self-interest would be able to prevent influenza epidemics.\nWe find that epidemics are rarely prevented. We also find that severe epidemics\nmay occur without the introduction of pandemic strains. We further address the\nsituation where market incentives are introduced to help ameliorating\nepidemics. Surprisingly, we find that vaccinating families exacerbates\nepidemics. However, a public health program requesting prepayment of\nvaccinations may significantly ameliorate influenza epidemics.",
    "arxiv_id": "q-bio/0608016",
    "authors": [
      "Romulus Breban",
      "Raffaele Vardavas",
      "Sally Blower"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1103/PhysRevE.76.031127",
    "title": "Inductive Reasoning Games as Influenza Vaccination Models: Mean Field   Analysis",
    "url": "https://arxiv.org/abs/q-bio/0608016"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "359a4847-38a6-47de-bf74-f9a9089d1ab2",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}