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_46
Snippet: This work expands our ability to assess and quantify important zoonotic pathogen traits 677 from commonly available epidemiological surveillance data, even in the absence of exact spatial 678 information or a complete count of localities under surveillance. We anticipate that these 679 methods will have greatest value in the common circumstance when the source of cases, 680 particularly whether a case came from an animal or human source, cannot b.....
Document: This work expands our ability to assess and quantify important zoonotic pathogen traits 677 from commonly available epidemiological surveillance data, even in the absence of exact spatial 678 information or a complete count of localities under surveillance. We anticipate that these 679 methods will have greatest value in the common circumstance when the source of cases, 680 particularly whether a case came from an animal or human source, cannot be readily established. 681
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