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Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique
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Global efficiency of local immunization on complex networks.

Laurent Hébert-Dufresne1, Antoine Allard, Jean-Gabriel Young

  • 1Département de Physique, de Génie Physique, et d'Optique, Université Laval, Québec (Québec), Canada G1V 0A6.

Scientific Reports
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PubMed
Summary

Identifying influential spreaders in networks is key to controlling epidemics. Local network measures, focusing on connectivity or community structure, are more effective and practical than global measures for immunization strategies.

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Area of Science:

  • Network science
  • Epidemiology
  • Computational social science

Background:

  • Epidemics, including diseases and information, spread through various networks.
  • Predicting and controlling epidemic spread is crucial with large datasets and algorithms.
  • Understanding network structure aids in identifying key spreaders.

Purpose of the Study:

  • To identify influential spreaders in diverse empirical networks.
  • To compare the effectiveness of local versus global network measures for epidemic control.
  • To develop a framework for selecting optimal immunization strategies.

Main Methods:

  • Utilized 2 epidemic models across 17 diverse empirical networks.
  • Analyzed network organization characteristics, including connectivity and community structure.
  • Compared local measures (microscopic and mesoscopic scales) against global measures (betweenness centrality).

Main Results:

  • Local network measures, based on connectivity or community structure, outperformed global measures.
  • These local measures demonstrated superior efficiency, practicality, and robustness.
  • An analytical framework revealed a transition in epidemic regimes based on characteristic scale.

Conclusions:

  • Judicious selection of local network measures is effective for identifying influential spreaders.
  • Local measures offer a more practical and robust approach to epidemic control and immunization.
  • The developed framework aids in deciding which local measure to prioritize for immunization strategies.