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Evaluating strategies for spatial allocation of vaccines based on risk and centrality.
Singer, Benjamin J; Thompson, Robin N; Bonsall, Michael B.
Afiliación
  • Singer BJ; Department of Zoology, University of Oxford, Oxford, UK.
  • Thompson RN; Mathematics Institute, University of Warwick, Coventry, UK.
  • Bonsall MB; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK.
J R Soc Interface ; 19(187): 20210709, 2022 02.
Article en En | MEDLINE | ID: mdl-35167774
ABSTRACT
When vaccinating a large population in response to an invading pathogen, it is often necessary to prioritize some individuals to be vaccinated first. One way to do this is to choose individuals to vaccinate based on their location. Methods for this prioritization include strategies that target those regions most at risk of importing the pathogen, and strategies that target regions with high centrality on the travel network. We use a simple infectious disease epidemic model to compare a risk-targeting strategy to two different centrality-targeting strategies based on betweenness centrality and random walk percolation centrality, respectively. We find that the relative effectiveness of these strategies in reducing the total number of infections varies with the basic reproduction number of the pathogen, travel rates, structure of the travel network and vaccine availability. We conclude that when a pathogen has high spreading capacity, or when vaccine availability is limited, centrality-targeting strategies should be considered as an alternative to the more commonly used risk-targeting strategies.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Vacunas / Enfermedades Transmisibles / Epidemias Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J R Soc Interface Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Vacunas / Enfermedades Transmisibles / Epidemias Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J R Soc Interface Año: 2022 Tipo del documento: Article