Author: Sangeeta Bhatia; Britta Lassmann; Emily Cohn; Malwina Carrion; Moritz U.G. Kraemer; Mark Herringer; John Brownstein; Larry Madoff; Anne Cori; Pierre Nouvellet
Title: Using Digital Surveillance Tools for Near Real-Time Mapping of the Risk of International Infectious Disease Spread: Ebola as a Case Study Document date: 2019_11_15
ID: jwesa12u_117
Snippet: We defined the epidemic to be in a "growing" phase at time t if the 2.5 th percentile of the distribution of the reproduction number at this time was greater than 1. Similarly, the epidemic was defined to be in "declining" phase if the 97.5 th percentile of the distribution of the reproduction number was below 1. In all other cases, the epidemic was defined to be in a "stable" phase......
Document: We defined the epidemic to be in a "growing" phase at time t if the 2.5 th percentile of the distribution of the reproduction number at this time was greater than 1. Similarly, the epidemic was defined to be in "declining" phase if the 97.5 th percentile of the distribution of the reproduction number was below 1. In all other cases, the epidemic was defined to be in a "stable" phase.
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