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_47
Snippet: In such situations, the ability to infer the pathogen's reproductive number, spillover rate, and 682 spatial spread patterns from available surveillance data, will greatly enhance our understanding 683 of the pathogen's behavior and could provide valuable insights to help guide surveillance design 684 and outbreak response. 685.....
Document: In such situations, the ability to infer the pathogen's reproductive number, spillover rate, and 682 spatial spread patterns from available surveillance data, will greatly enhance our understanding 683 of the pathogen's behavior and could provide valuable insights to help guide surveillance design 684 and outbreak response. 685
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