Author: Sina F. Ardabili; Amir MOSAVI; Pedram Ghamisi; Filip Ferdinand; Annamaria R. Varkonyi-Koczy; Uwe Reuter; Timon Rabczuk; Peter M. Atkinson
Title: COVID-19 Outbreak Prediction with Machine Learning Document date: 2020_4_22
ID: nu0pn2q8_3
Snippet: where is the infected population, and is the susceptible population both as fractions. represents the daily reproduction rate of the differential equation, regulating the number of susceptible infectious contacts. The value of in the time-series produced by the differential equation gradually declines. Initially, it is assumed that at the early stage of the outbreak ≈ 1 while the number of individuals in class I is negligible. Thus, the increme.....
Document: where is the infected population, and is the susceptible population both as fractions. represents the daily reproduction rate of the differential equation, regulating the number of susceptible infectious contacts. The value of in the time-series produced by the differential equation gradually declines. Initially, it is assumed that at the early stage of the outbreak ≈ 1 while the number of individuals in class I is negligible. Thus, the increment becomes linear and the class I eventually can be computed as follows:
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