{
  "annotation_id": "385b1fac-6f06-4d97-a0b9-a3360309226a",
  "date_created": "2026-03-02T18:01:31.669000Z",
  "date_modified": "2026-03-02T18:01:31.669000Z",
  "file_hash": "82f1a7616efa833fb261c75eb5ef4688e33026f85d8b41303e8c759ecb63acdd",
  "private": false,
  "record": {
    "abstract": "We study how a fraction of a population should be vaccinated to most\nefficiently top epidemics. We argue that only local information (about the\nneighborhood of specific vertices) is usable in practice, and hence we consider\nonly local vaccination strategies. The efficiency of the vaccination strategies\nis investigated with both static and dynamical measures. Among other things we\nfind that the most efficient strategy for many real-world situations is to\niteratively vaccinate the neighbor of the previous vaccinee that has most links\nout of the neighborhood.",
    "arxiv_id": "q-bio/0403021",
    "authors": [
      "Petter Holme"
    ],
    "categories": [
      "q-bio.PE",
      "cond-mat.dis-nn"
    ],
    "doi": "10.1209/epl/i2004-10286-2",
    "journal_ref": "Europhys. Lett., 68 (6), pp. 908-914 (2004)",
    "title": "Efficient local strategies for vaccination and network attack",
    "url": "https://arxiv.org/abs/q-bio/0403021"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a0ee5c05-2551-49f6-8650-2015c54b93f2",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}