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_7
Snippet: Nevertheless, they can infect others and some of the latter may develop more 93 serious symptoms that require hospitalization. Then these secondary infections are 94 included in our case data. Our aim is to provide a tool that can be used for the 95 management of medical resources. Since we do not use a model to calculate how the 96 asymptomatic infectives infect others, we do not need to know either the infection 97 rate or the asymptomatic infe.....
Document: Nevertheless, they can infect others and some of the latter may develop more 93 serious symptoms that require hospitalization. Then these secondary infections are 94 included in our case data. Our aim is to provide a tool that can be used for the 95 management of medical resources. Since we do not use a model to calculate how the 96 asymptomatic infectives infect others, we do not need to know either the infection 97 rate or the asymptomatic infective numbers. Since those who are admitted to the 98 hospital either recover after a hospital stay of T days, or dead after a similar number 99 of days, there should be a delayed relationship between N(t) and R(t), which we will 100 explore in the Theory section. Now that the epidemic in China appears to have come 101
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