Author: Choujun Zhan; Chi K. Tse; Zhikang Lai; Tianyong Hao; Jingjing Su
Title: Prediction of COVID-19 Spreading Profiles in South Korea, Italy and Iran by Data-Driven Coding Document date: 2020_3_10
ID: mr8z65o5_4
Snippet: The World Health Organization currently sets the alert level of COVID-19 to the highest, and has made data related to the epidemic available to the public in a series of situation reports as well as other formats [9] . Our data include the number of infected cases, the cumulative number of infected cases, the number of recovered cases, and death tolls, for individual cities and regions in South Korea, Italy and Mazandran, from February 19, 2020, .....
Document: The World Health Organization currently sets the alert level of COVID-19 to the highest, and has made data related to the epidemic available to the public in a series of situation reports as well as other formats [9] . Our data include the number of infected cases, the cumulative number of infected cases, the number of recovered cases, and death tolls, for individual cities and regions in South Korea, Italy and Mazandran, from February 19, 2020, to March 6, 2020. Data organized in convenient formats are also available elsewhere [10, 11, 12] . Samples of data for Daegu, Gyeongsang North Road (South Korea), Lombardi, Amelia Romagna, Tehran and Iran are shown graphically in Figure 1 . It should be noted that the data obtained for South Korea, Italy and Iran correspond to initial stages of the epidemic progression as the number of infected cases are still climbing, as of March 6, 2020.
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