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_61
Snippet: It is now necessary to calculate the probability a surveilled locality experiences one or 1214 more cases. This probability is equivalent to one minus the probability of no cases occurring at a 1215 locality during the surveillance period. The following section explains how the probability of 1216 zero cases occurring at a given locality (here denoted p) is calculated. 1217.....
Document: It is now necessary to calculate the probability a surveilled locality experiences one or 1214 more cases. This probability is equivalent to one minus the probability of no cases occurring at a 1215 locality during the surveillance period. The following section explains how the probability of 1216 zero cases occurring at a given locality (here denoted p) is calculated. 1217
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