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_121
Snippet: We offer here an additional tool that has the advantage that it has does not depend 762 on the elusive infection rate or the susceptible population, information needed for 763 most models, but has the disadvantage that it cannot be used when the epidemic 764 first started and the data are inaccurate or incomplete. It is based on daily case 765 numbers (i.e. newly confirmed cases), N(t), and recovered cases, R(t). 766 767.....
Document: We offer here an additional tool that has the advantage that it has does not depend 762 on the elusive infection rate or the susceptible population, information needed for 763 most models, but has the disadvantage that it cannot be used when the epidemic 764 first started and the data are inaccurate or incomplete. It is based on daily case 765 numbers (i.e. newly confirmed cases), N(t), and recovered cases, R(t). 766 767
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