Selected article for: "Boltzmann function and potential total number"

Author: Xinmiao Fu; Qi Ying; Tieyong Zeng; Tao Long; Yan Wang
Title: Simulating and Forecasting the Cumulative Confirmed Cases of SARS-CoV-2 in China by Boltzmann Function-based Regression Analyses
  • Document date: 2020_2_18
  • ID: 9j5yda3k_5
    Snippet: Here we present Boltzmann function-based regression analyses on the data of confirmed cases of 80 Data were organized in Microsoft Excel and then incorporated into Microcal Origin software 81 (note: 2021 Jan 21 was set as day 1 and so on). The Boltzmann function was applied to data 82 simulation for each set of data regarding different geographic regions (e.g.., China, Hubei 83 Province and so on) and parameters of each function were obtained, wi.....
    Document: Here we present Boltzmann function-based regression analyses on the data of confirmed cases of 80 Data were organized in Microsoft Excel and then incorporated into Microcal Origin software 81 (note: 2021 Jan 21 was set as day 1 and so on). The Boltzmann function was applied to data 82 simulation for each set of data regarding different geographic regions (e.g.., China, Hubei 83 Province and so on) and parameters of each function were obtained, with the potential total 84 number of confirmed cases being directly given by parameter A2. Estimation of critical dates was 85 performed by predicting the cumulative number of confirmed cases in the coming days post Feb 86 14, 2020, and the key dates were provisionally set when the number of daily new confirmed cases 87 is lower than 0.1% of the potential total number. The Boltzmann function for simulation is 88 expressed as follows:

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