Seed Media Group

Search this blog

Profile

away%20from%20computer.jpg

I am the Online Community Manager at PLoS ONE. 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. This is a personal blog and opinions within in no way reflect the policies of PLoS ONE. You can contact me at: Coturnix@gmail.com

Join us at ScienceOnline'09

Submit your entries to OpenLab08

Buy the 2007 Science Blogging Anthology:

The Open Laboratory

Buy the 2006 Science Blogging Anthology:

The Open Laboratory

Recent Posts

Recent Comments

Archives

Blogroll

Subscribe via Email

Stay abreast of your favorite bloggers' latest and greatest via e-mail, via a daily digest.

Sign me up!

My Old Stuff

Make Me Happy

Add this blog to my Technorati Favorites!

Add Scienceblogs to your Technorati Favorites!

Make Me Solvent

Amazon Honor System Click Here to Pay Learn More

A Blog Around The Clock swag store

I Support

Project Exploration

Project Exploration

Bloggie Stuff

Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.

« 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.

Post a Comment

(Email is required for authentication purposes only. Comments are moderated for spam, your comment may not appear immediately. Thanks for waiting.)





Having problems commenting? (UPDATED)

Blogs in the Network

Advertisement

Top Five: Most Active

  1. Hooray for Catholics! 11.19.2008 · PZ Myers
  2. Entropy and evolution 11.10.2008 · PZ Myers
  3. Dunbar Tries to Backpeddle 11.18.2008 · Ed Brayton
  4. There's no such thing as viruses? 11.18.2008 · Orac
  5. Computers Are Now Officially Fast 11.19.2008 · Jason Rosenhouse

Search All Blogs