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Global Impact of Aviation Networks on Disease Spread: Analysis and Predictions

Explore the correlation between aviation networks and the spread of infectious diseases like SARS, assessing predictability and key network properties. Discover insights from a model analyzing the 21st-century travel dynamics and the 2003 SARS outbreak in China.

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Global Impact of Aviation Networks on Disease Spread: Analysis and Predictions

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  1. 2 Mio. flights / week 500 largest airports 95% of the entire aviation network travel in the 21st century

  2. caused by coronavirus first outbreak: China February 2003 in Hong Kong worldwide spread in over 30 countries approx 8000 infections 10% die the „severe acute respiratory syndrome” (SARS) Guangdong Kanada Irland Hong Kong Singapur Vietnam USA Deutschland Thailand

  3. Is it possible to describe the spread of human infectious diseases based on the aviation network? How reliable are predictions? What properties of the aviation network facilitate the spread? What properties of the aviation network facilitate predictability? a model for the global spread of SARS Hufnagel, L., Brockmann, D., Geisel, T., PNAS, 101, 15124-15129, 2004

  4. international aviation network

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