Inferring Infection-Spreading Links in an Air Traffic Network

摘要: The objective of this paper is to present a network-based optimization method for identifying links in an air traffic network responsible carrying infected passengers into previously unexposed regions. required data include individual infection reports (i.e., when the disease was first reported region), travel pattern data, and other geographic properties. structure defined by nodes links, which represent regions (cities, states, countries) routes, respectively. proposed methodology novel its attempt replicate outbreak atop transportation exploiting regional data. problem parallels related phylodynamics, uses genetic sequencing reconstruct most likely spatiotemporal path infection.