Author: Igor Nesteruk
Title: Statistics based predictions of coronavirus 2019-nCoV spreading in mainland China Document date: 2020_2_13
ID: bhm2un6v_4
Snippet: We shall analyze the daily data for the number of confirmed cases in mainland China, which origins from China National Health Commission [1]. We show in the table Table 1 the corresponding time moments t j from 0 to 24 and the number of victims V j (confirmed cumulative cases of coronavirus 2019-nCoV infection), which were used for calculations. Table 1 shows that the precise time of the epidemic beginning 0 t is unknown. Therefore, the optimizat.....
Document: We shall analyze the daily data for the number of confirmed cases in mainland China, which origins from China National Health Commission [1]. We show in the table Table 1 the corresponding time moments t j from 0 to 24 and the number of victims V j (confirmed cumulative cases of coronavirus 2019-nCoV infection), which were used for calculations. Table 1 shows that the precise time of the epidemic beginning 0 t is unknown. Therefore, the optimization procedures have to determine the optimal value of this parameter as well as for other parameters of SIR model. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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