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

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.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-08-11
DOI
https://doi.org/10.1371/journal.pcbi.1013274
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
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article

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

Lucila G. Alvarez-Zuzek, Riccardo Gallotti, Michele Tizzoni, Oriol Artime et al.
PLoS Computational Biology
Evolution and Genetic Dynamics
article

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

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

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.

PLoS Computational BiologyVol. 21(8)
University of Trento (IT), Fondazione Bruno Kessler (IT), Fundació Universitat-Empresa de les Illes Balears (ES), Universitat de les Illes Balears (ES), Universitat de Barcelona (ES)
Good health and well-being
Openalex Percentile: Top 77%
Evolution and Genetic Dynamics
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