Author: Shengjie Lai; Isaac Bogoch; Nick Ruktanonchai; Alexander Watts; Xin Lu; Weizhong Yang; Hongjie Yu; Kamran Khan; Andrew J Tatem
Title: Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study Document date: 2020_2_5
ID: iat80b4l_38
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.04.20020479 doi: medRxiv preprint itinerary data have been widely used to quantify the connectivity and transmission risk of pathogens via domestic and international human travel [18] [19] [20] [21] [22] [23] . Given the rapidly growing number of confirmed 2019-nCoV infections, increasing evidence of human-to-human transmission within and.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.04.20020479 doi: medRxiv preprint itinerary data have been widely used to quantify the connectivity and transmission risk of pathogens via domestic and international human travel [18] [19] [20] [21] [22] [23] . Given the rapidly growing number of confirmed 2019-nCoV infections, increasing evidence of human-to-human transmission within and beyond China [4, 24] , and our limited understanding of this novel virus [25, 26] , the findings here from travel patterns in historical data and spread risk estimation can help guide public health preparedness and intervention design across the world [27] .
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