Evidence map›Paper›PMID 40788964›Full record

ArticlePLoS computational biology2025

Comparing the effectiveness of ring and block-vaccination strategies on networks.

Matteo Scianna, Riccardo Gallotti, Michele Tizzoni, Oriol Artime, Lucila G Alvarez-Zuzek

Abstract readComparative Study
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matteo SciannaComplex Human Behaviour Lab, Foundation Bruno Kessler, Trento, Italy.
Riccardo GallottiComplex Human Behaviour Lab, Foundation Bruno Kessler, Trento, Italy.
Michele TizzoniDepartment of Sociology and Social Research, University of Trento, Trento, Italy.
Oriol ArtimeDepartament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain.
Lucila G Alvarez-ZuzekComplex Human Behaviour Lab, Foundation Bruno Kessler, Trento, Italy.ORCID 0000-0002-5076-8152

Funding

European Union (Next Generation EU)International Office of the University of TrentoSpanish Ministry of UniversitiesUniversity of the Balearic Islands
6 · The paper itself

Abstract

Vaccination is vital for preventing disease spread, as demonstrated by its role played in recent outbreaks such as measles, COVID-19, and the 2014 West Africa Ebola crisis. Classical ring vaccination-targeting individuals near infected cases to form protective clusters-has become of interest due to its effectiveness, yet it is strongly influenced by the quality of contact tracing and availability of medical resources. Here, we model the efficiency of a family of ring vaccination-inspired strategies that address these limiting factors and disentangle them from the structure of the contact patterns. In particular, we evaluate scenarios that consider a vaccination radius r, used to vaccinate nodes in the network up to r contacts away (block vaccination) or exactly r contacts away (ring vaccination) from nodes of interest. Each one of these is tested under two further scenarios: the preventive one, where individuals are vaccinated before the epidemic takes place, and the containment one, where vaccination occurs during an outbreak to limit disease spread. They are tested in synthetic networks, where we find that in the preventive scenario, ring outperforms block vaccination, reducing the size of the epidemic and, in some cases, even preventing it from happening. On the other hand, in the containment scenario, we find that both strategies perform slightly similarly in reducing the impact of the diseases but block vaccination using fewer resources. As a case study, the proposed strategies are used to create epidemiological risk maps by employing the spatial position of olive trees in the Salento region in Italy, which recently suffered the impact of the bacterium Xylella fastidiosa.

Indexed as

COVID-19VaccinationComputational BiologyComputer SimulationContact TracingDisease OutbreaksHumansSARS-CoV-2

Identifiers

PMID40788964
PMCPMC12338826

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.