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 language | English |
|---|---|
| Title of host publication | 2007 International Symposium on Nonlinear Theory and Its Applications, NOLTA'07 |
| Pages | 264-267 |
| DOIs | |
| Publication status | Published - Sept 2007 |
| Externally published | Yes |
| Event | 2007 International Symposium on Nonlinear Theory and its Applications (NOLTA'07) - Vancouver, Canada Duration: 16 Sept 2007 → 19 Sept 2007 |
Publication series
| Name | IEICE Proceeding Series |
|---|---|
| ISSN (Electronic) | 2188-5079 |
Conference
| Conference | 2007 International Symposium on Nonlinear Theory and its Applications (NOLTA'07) |
|---|---|
| Abbreviated title | NOLTA 2007 |
| Place | Canada |
| City | Vancouver |
| Period | 16/09/07 → 19/09/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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