Author: Huiwen Wang; Yanwen Zhang; Shan Lu; Shanshan Wang
Title: Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19 Document date: 2020_3_24
ID: fyh8gjjl_89
Snippet: We examine our model with COVID-19 data in mainland China beyond Hubei province, which can detect the gross process of the epidemic at its early-outbreak. Specifically, in the first predicting task that conducted on Jan 29, the predicted date when the number of newly confirmed patients E t would fall for the first time is only one day behind the observation in reality. On Feb 2nd, our model 15 . CC-BY-NC-ND 4.0 International license It is made av.....
Document: We examine our model with COVID-19 data in mainland China beyond Hubei province, which can detect the gross process of the epidemic at its early-outbreak. Specifically, in the first predicting task that conducted on Jan 29, the predicted date when the number of newly confirmed patients E t would fall for the first time is only one day behind the observation in reality. On Feb 2nd, our model 15 . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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