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My scientific specialty is chronobiology (circadian rhythms and photoperiodism), with additional interests in comparative physiology, animal behavior and evolution. I am not an MD so I cannot diagnose and treat your sleep problems. As well as writing this blog, I am also the Online Discussion Expert for PLoS. This is a personal blog and opinions within it in no way reflect the policies of PLoS. You can contact me at: Coturnix@gmail.com


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« Will you be the 900th.... | Main | My picks from ScienceDaily »

New and Exciting in PLoS ONE

Category: Science News
Posted on: September 5, 2008 7:20 PM, by Coturnix

There are 9 new articles in PLoS ONE today. As always, you should rate the articles, post notes and comments and send trackbacks when you blog about the papers. Here are my own picks for the week - you go and look for your own favourites:

Sampling for Global Epidemic Models and the Topology of an International Airport Network:

Mathematical models that describe the global spread of infectious diseases such as influenza, severe acute respiratory syndrome (SARS), and tuberculosis (TB) often consider a sample of international airports as a network supporting disease spread. However, there is no consensus on how many cities should be selected or on how to select those cities. Using airport flight data that commercial airlines reported to the Official Airline Guide (OAG) in 2000, we have examined the network characteristics of network samples obtained under different selection rules. In addition, we have examined different size samples based on largest flight volume and largest metropolitan populations. We have shown that although the bias in network characteristics increases with the reduction of the sample size, a relatively small number of areas that includes the largest airports, the largest cities, the most-connected cities, and the most central cities is enough to describe the dynamics of the global spread of influenza. The analysis suggests that a relatively small number of cities (around 200 or 300 out of almost 3000) can capture enough network information to adequately describe the global spread of a disease such as influenza. Weak traffic flows between small airports can contribute to noise and mask other means of spread such as the ground transportation.
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