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_49
Snippet: In broad terms, the model describes the probability of observing a set of symptom onset 688 times and locations of human cases given the timing and location of previous cases and 689 parameters that underlie the transmission process. Human infections can arise from either 690 animal-to-human transmission ('zoonotic spillover') or human-to-human transmission (Fig 1B) . 691.....
Document: In broad terms, the model describes the probability of observing a set of symptom onset 688 times and locations of human cases given the timing and location of previous cases and 689 parameters that underlie the transmission process. Human infections can arise from either 690 animal-to-human transmission ('zoonotic spillover') or human-to-human transmission (Fig 1B) . 691
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