Author: Norden E Huang; Fangli Qiao; Ka-Kit Tung
Title: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves Document date: 2020_3_30
ID: mxen3n0k_130
Snippet: This time is beyond the initial incubation period of the disease and it can be 798 assumed that at that time there is already a population of infected, some of them 799 asymptomatic but nevertheless infectious. 800 801 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: This time is beyond the initial incubation period of the disease and it can be 798 assumed that at that time there is already a population of infected, some of them 799 asymptomatic but nevertheless infectious. 800 801 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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