Author: Sarah F. McGough; Michael A. Johansson; Marc Lipsitch; Nicolas A. Menzies
Title: Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking Document date: 2019_6_7
ID: 6kq0ptlg_39
Snippet: For each week t, the goal of nowcasting is to produce estimates for the total number of cases eventually reported, Nt, based on an incomplete set of observed cases with delay d, nt,d. Since not every nt,d is observed for a delay d, but will be observed at some unknown time point in the future, Nt = sum(nt,d)......
Document: For each week t, the goal of nowcasting is to produce estimates for the total number of cases eventually reported, Nt, based on an incomplete set of observed cases with delay d, nt,d. Since not every nt,d is observed for a delay d, but will be observed at some unknown time point in the future, Nt = sum(nt,d).
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