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_31
Snippet: The copyright holder for this preprint . https://doi.org/10. 1101 Data on the confirmed cases of 2013 SARS-CoV were well fitted to Boltzmann function 173 The ongoing SARS-CoV-2 outbreak has undoubtedly caused the memories of the SARS-CoV (Figs. 1, 2 and S1 ). More importantly, the data of 2003 SARS-CoV in China 203 and worldwide were also well fitted to the function (Fig. 4) . These results, in conjunction with 204 that Boltzmann function can be .....
Document: The copyright holder for this preprint . https://doi.org/10. 1101 Data on the confirmed cases of 2013 SARS-CoV were well fitted to Boltzmann function 173 The ongoing SARS-CoV-2 outbreak has undoubtedly caused the memories of the SARS-CoV (Figs. 1, 2 and S1 ). More importantly, the data of 2003 SARS-CoV in China 203 and worldwide were also well fitted to the function (Fig. 4) . These results, in conjunction with 204 that Boltzmann function can be inferred from a few assumptions (for detail, refer to the Methods 205 section of the support information file), suggest that Boltzmann function is suitable for analyzing 206 the epidemics of coronaviruses like SARS-CoV and SARS-CoV-2. One advantage of this model 207 is that parameter A2 directly gives an estimate of the potential total numbers of confirmed cases.
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