Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 158

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Efficient local strategies for vaccination and network attack

Open access
Holme, P·2004·Europhysics Letters (EPL)

Abstract

We study how a fraction of a population should be vaccinated to most efficiently stop epidemics. Our starting point is that only local information—about the neighborhood of specific vertices—is usable in practice. For this reason we consider only local vaccination strategies. The efficiency of the vaccination strategies is investigated with both static and dynamic measures. We test the strategies on real-world networks and model networks with real-world characteristics. Among other things, we find that the most efficient strategy for many real-world situations is to iteratively vaccinate the neighbor of the previous vaccinee that has the most links out of the neighborhood.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1209/epl/i2004-10286-2

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 158

Metadata

Authors
Holme, P.
Venue
Europhysics Letters (EPL)
Published
2004-12
Volume
68
Issue
6
Pages
908-914
ISSN
  • 0295-5075 (ISSN-L)
  • 1286-4854
OpenAlex
W2090687169
Cited by
158
References
2
FWCI
2.50
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Efficient local strategies for vaccination and network attack. https://app.cochat.ai/papers/10.1209/epl/i2004-10286-2
The paper
Holme, P. (2004). Efficient local strategies for vaccination and network attack. Europhysics Letters (EPL). https://doi.org/10.1209/epl/i2004-10286-2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.