id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-003396-yu6mw601	Chen, Pei	Detecting early‐warning signals of influenza outbreak based on dynamic network marker	2018-10-19		.txt	text/plain	3098	165	49	By exploring rich dynamical and high‐dimensional information, our dynamic network marker/biomarker (DNM/DNB) method opens a new way to identify the tipping point prior to the catastrophic transition into an influenza pandemics. On the other hand, the dynamic network marker/biomarker (DNM/DNB) method was developed to quantitatively identify the tipping point or the critical state during the dynamic evolution of a complex system based on the observed data. To further reliably identify the critical state of flu outbreak, we developed a new method called the landscape DNM, which explores F I G U R E 1 Schematic illustration to detect early-warning signals of influenza outbreak based on the DNM method. C, Based on the historical and current clinic records, and regional geographic characteristics of a city, the DNM score is able to provide the early-warning signals of the upcoming influenza outbreak as a real-time indicator monitoring both the local and global records as well as the network structure, and the detailed algorithm is provided below.	./cache/cord-003396-yu6mw601.txt	./txt/cord-003396-yu6mw601.txt