Author: Markus Luczak-Roesch
Title: Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus. Document date: 2020_2_11
ID: kevrp8rg_1
Snippet: How far a virus will eventually spread at local, regional, national and international levels is of central concern during an epidemic outbreak due to the severe consequences large-scale epidemics have on human well-being [5] , the stability and coherence of social systems [11] , and the global economy [23] . A thorough understanding of the genetic characteristics of a virus is crucial to understand the way it is (or may be) transmitted (e.g. huma.....
Document: How far a virus will eventually spread at local, regional, national and international levels is of central concern during an epidemic outbreak due to the severe consequences large-scale epidemics have on human well-being [5] , the stability and coherence of social systems [11] , and the global economy [23] . A thorough understanding of the genetic characteristics of a virus is crucial to understand the way it is (or may be) transmitted (e.g. human-to-human transmissibility) in order to be able to anticipate the potential reach of an outbreak and develop effective countermeasures. The recent outbreak of a new type of coronavirus -2019-nCoV -provides plenty of examples of the way researchers seek to quickly approach the aforementioned problems of genetic decomposition of the virus [2, 8] and modelling of its transmission dynamics [15] .
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