Author: Norden E Huang; Fangli Qiao; Ka-Kit Tung
Title: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves Document date: 2020_3_30
ID: mxen3n0k_42
Snippet: The inferred statistical characteristics of the Covid-19 epidemic are summarized in 254 Table S1 for various regions. The mean recovery time T, is about 13 days for China 255 as a whole. For Wuhan, the city at the epicenter whose hospitals were more 256 overwhelmed and the patients admitted into hospitals more seriously ill than those 257 in other provinces, T ~16 days, while that for Hubei is 14 days. The standard 258 deviation, σ, is found to .....
Document: The inferred statistical characteristics of the Covid-19 epidemic are summarized in 254 Table S1 for various regions. The mean recovery time T, is about 13 days for China 255 as a whole. For Wuhan, the city at the epicenter whose hospitals were more 256 overwhelmed and the patients admitted into hospitals more seriously ill than those 257 in other provinces, T ~16 days, while that for Hubei is 14 days. The standard 258 deviation, σ, is found to be around 8 days, with slight difference between that for 259 N(t) and for R(t), with one exception for Hubei outside Wuhan. Such a fine 260 subdivision may not be practical for the data quality we have. The σ tends to be 261 smaller for China as a whole than Wuhan. One can see that T and σ 2 indeed varying 262 approximately in proportion.
Search related documents:
Co phrase search for related documents- data quality and slight difference: 1
- data quality and Table s1: 1, 2, 3
- data quality and Wuhan outside Hubei exception: 1
- recovery time and slight difference: 1
- recovery time and Table s1: 1, 2
- recovery time and Wuhan outside Hubei exception: 1
- slight difference and Table s1: 1
- slight difference and Wuhan outside Hubei exception: 1
Co phrase search for related documents, hyperlinks ordered by date