Author: Peter X Song; Lili Wang; Yiwang Zhou; Jie He; Bin Zhu; Fei Wang; Lu Tang; Marisa Eisenberg
Title: An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China Document date: 2020_3_3
ID: m9icky9z_63
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.29.20029421 doi: medRxiv preprint Figure 18 : Prediction plots of θ I t and Y I t (Panel A), 9 θ I t (Panel B), θ R t and Y R t (Panel C) for Hubei province with πptq " 1 after calibration. Note that the second turning point is beyond the time-axis limit in the plots. Figure 19 : Prediction plots of θ I t and Y I t (Panel A), 9 θ I .....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.29.20029421 doi: medRxiv preprint Figure 18 : Prediction plots of θ I t and Y I t (Panel A), 9 θ I t (Panel B), θ R t and Y R t (Panel C) for Hubei province with πptq " 1 after calibration. Note that the second turning point is beyond the time-axis limit in the plots. Figure 19 : Prediction plots of θ I t and Y I t (Panel A), 9 θ I t (Panel B), θ R t and Y R t (Panel C) for Hubei with an exponential transmission rate modifier πptq " expp´0.05tq after data calibration.
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