Author: Monique R. Ambrose; Adam J. Kucharski; Pierre Formenty; Jean-Jacques Muyembe-Tamfum; Anne W. Rimoin; James O. Lloyd-Smith
Title: Quantifying transmission of emerging zoonoses: Using mathematical models to maximize the value of surveillance data Document date: 2019_6_19
ID: f14u2sz5_38
Snippet: The potential biases introduced when analyzing data reported at a course spatial scale 589 have been explored in a wide range of contexts [56] [57] [58] , yet the implications of using this type of 590 spatial information to infer the transmission dynamics of an infectious disease is not obvious. 591.....
Document: The potential biases introduced when analyzing data reported at a course spatial scale 589 have been explored in a wide range of contexts [56] [57] [58] , yet the implications of using this type of 590 spatial information to infer the transmission dynamics of an infectious disease is not obvious. 591
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