Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world
Ke Wu, Didier Darcet, Qian Wang, Didier Sornette
doi: https://doi.org/10.1101/2020.03.11.20034363
Abstract
Background: the COVID-19 has been successfully contained in China but is spreading all over the world. We use phenomenological models to dissect the development of the epidemics in China and the impact of the drastic control measures both at the aggregate level and within each province. We use the experience from China to analyze the calibration results on Japan, South Korea, Iran, Italy and Europe, and make future scenario projections. Methods: we calibrate the logistic growth model, the generalized logistic growth model, the generalized growth model and the generalized Richards model to the reported number of infected cases from Jan. 19 to March 10 for the whole of China, 29 provinces in China, four severely affected countries and Europe as a whole. The different models provide upper and lower bounds of our scenario predictions.
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