Author: Ke Wu; Didier Darcet; Qian Wang; Didier Sornette
Title: Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world Document date: 2020_3_16
ID: 9607dy2o_24
Snippet: where 0 is a constant of integration determined from matching this asymptotic solution with the non-asymptotic dynamics far from the asymptote. Thus, the leading behavior of the growth rate at long times is 30, 25, 20, 15, 10 and 5 days before Feb 22 were presented. For each of the six data sets, we generated 500 simulations of ( ) based on the best fit parameters using parametric bootstrap with a negative binomial error structure, as in prior st.....
Document: where 0 is a constant of integration determined from matching this asymptotic solution with the non-asymptotic dynamics far from the asymptote. Thus, the leading behavior of the growth rate at long times is 30, 25, 20, 15, 10 and 5 days before Feb 22 were presented. For each of the six data sets, we generated 500 simulations of ( ) based on the best fit parameters using parametric bootstrap with a negative binomial error structure, as in prior studies [17] . Each of these 500 simulations constitutes a plausible scenario for the daily number of new confirmed cases, which is compatible . 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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