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_107
Snippet: We quantified the initial reactions and ramping up of control measures on the dynamics of the epidemics and unearth an inverse relationship between the number of days from peak to the quasiend and the duration from start to the peak of the epidemic among the 29 analyzed Chinese provinces. We identified the dynamic signatures of the exemplary developments in Zhejiang and Henan provinces and the heterogeneity of the development of the epidemic and .....
Document: We quantified the initial reactions and ramping up of control measures on the dynamics of the epidemics and unearth an inverse relationship between the number of days from peak to the quasiend and the duration from start to the peak of the epidemic among the 29 analyzed Chinese provinces. We identified the dynamic signatures of the exemplary developments in Zhejiang and Henan provinces and the heterogeneity of the development of the epidemic and responses across various other provinces. We found a strong correlation between the initial and total confirmed numbers of infected cases and travel index quantifying the mobility between provinces.
Search related documents:
Co phrase search for related documents- chinese province and day number: 1
- confirm number and day number: 1
- control measure and day number: 1, 2, 3, 4, 5
- control measure and epidemic dynamic: 1, 2
- control measure and epidemic peak: 1, 2, 3, 4, 5, 6
- control measure and infected case: 1, 2
- day number and epidemic peak: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
- day number and infected case: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- epidemic dynamic and infected case: 1
- epidemic peak and infected case: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Co phrase search for related documents, hyperlinks ordered by date