id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-000279-pdjsy9a0	Chan, Joseph	Network Analysis of Global Influenza Spread	2010-11-18		.txt	text/plain	5639	302	48	Network analysis suggested China and Hong Kong as the origins of new seasonal H3N2 strains and the United States as a region where increased vaccination would maximally disrupt global spread of the virus. As a second strategy for eliminating bias, we determined statistical significance of inter-cluster seeding events by modeling transmission as a binomial distribution with prior probabilities based on the proportion of sequences isolated before a given time point. Here, we show that it is possible to counter this data bias through probabilistic modeling and represent the global viral spread as a network of seeding events between different regions of the world. As can be seen with the world map plots ( Figure 4A,B) , a natural representation of the global influenza network is a directed graph with each node representing a clustered region (climate, continent, and country) and each edge representing a seeding event with a weight equal to the number of significant seeding seasons.	./cache/cord-000279-pdjsy9a0.txt	./txt/cord-000279-pdjsy9a0.txt