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Scale-free model for spatio-temporal distribution of outbreaks of avian influenza

  • Michael Small*
  • , David M Walker
  • , Chi K. Tse
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Traditional models for geographical spread of infectious agents invoke a diffusion mechanism. By observing the global distribution of avian influenza outbreaks among wild and domestic birds, we show that this model is not appropriate. We find that the outbreaks of avian influenza follow a scale-free distribution that can accurately model connectivity between outbreaks on a scale-free complex network. We explore possible mechanisms that can generate such complex transmission dynamics. Our results indicate that heterogeneity in both the human and animal populations is insufficient to explain our results. Only when we model the potential transmission pathways between flocks with a scale-free network do we obtain a scale-free distribution of connectivity between outbreaks.
Original languageEnglish
Title of host publication2007 International Symposium on Nonlinear Theory and Its Applications, NOLTA'07
Pages264-267
DOIs
Publication statusPublished - Sept 2007
Externally publishedYes
Event2007 International Symposium on Nonlinear Theory and its Applications (NOLTA'07) - Vancouver, Canada
Duration: 16 Sept 200719 Sept 2007

Publication series

NameIEICE Proceeding Series
ISSN (Electronic)2188-5079

Conference

Conference2007 International Symposium on Nonlinear Theory and its Applications (NOLTA'07)
Abbreviated titleNOLTA 2007
PlaceCanada
CityVancouver
Period16/09/0719/09/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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