Author: Aniruddha Adiga; Srinivasan Venkatramanan; James Schlitt; Akhil Peddireddy; Allan Dickerman; Andrei Bura; Andrew Warren; Brian D Klahn; Chunhong Mao; Dawen Xie; Dustin Machi; Erin Raymond; Fanchao Meng; Golda Barrow; Henning Mortveit; Jiangzhuo Chen; Jim Walke; Joshua Goldstein; Mandy L Wilson; Mark Orr; Przemyslaw Porebski; Pyrros A Telionis; Richard Beckman; Stefan Hoops; Stephen Eubank; Young Yun Baek; Bryan Lewis; Madhav Marathe; Chris Barrett
Title: Evaluating the impact of international airline suspensions on the early global spread of COVID-19 Document date: 2020_2_23
ID: 86opxdjd_16
Snippet: Finally, we seek to identify potential factors that can explain the estimated reporting delays according to our model. We define estimated reporting delay as the difference between the time of arrival predicted by the linear estimator and the reported time of arrival according to WHO situation reports. We construct univariate linear regression models with the IDVI scores (overall and individual categories), and report the % of explained variance .....
Document: Finally, we seek to identify potential factors that can explain the estimated reporting delays according to our model. We define estimated reporting delay as the difference between the time of arrival predicted by the linear estimator and the reported time of arrival according to WHO situation reports. We construct univariate linear regression models with the IDVI scores (overall and individual categories), and report the % of explained variance according to each of these indicators. We also evaluated the goodness of fit via a Wald test with a t-distribution against a null hypothesis of a slope of 0 and report the p-values.
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