Selected article for: "Boltzmann function and richards function"

Author: Gao, Yuanyuan; Zhang, Zuqin; Yao, Wei; Ying, Qi; Long, Cheng; Fu, Xinmiao
Title: Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
  • Document date: 2020_4_2
  • ID: 07zfhnwi_8
    Snippet: To verify our Boltzmann function-based estimates, we calculated the potential total numbers of deaths in the aforementioned regions by applying Richards function-based regression analyses, which were used to simulate the cumulative numbers of confirmed cases of 2003 SARS in different regions. 4, 5 The potential total numbers of COVID-19 deaths in mainland China, other provinces, Hubei Province, Wuhan City, and other cities were estimated to be 3,.....
    Document: To verify our Boltzmann function-based estimates, we calculated the potential total numbers of deaths in the aforementioned regions by applying Richards function-based regression analyses, which were used to simulate the cumulative numbers of confirmed cases of 2003 SARS in different regions. 4, 5 The potential total numbers of COVID-19 deaths in mainland China, other provinces, Hubei Province, Wuhan City, and other cities were estimated to be 3,342 (95% CI, 3,214-3,527) in China; 111 (95% CI, 109-114) in Hubei Province; 3,245 (95% CI, 3,100-3,423) outside Hubei; 2,613 (95% CI, 2,498-2,767) in Wuhan City; and 627 (95% CI, 603-654) outside Wuhan ( Supplementary Fig. 2 online) . These simulated estimates are close to the numbers estimated by the Boltzmann function-based analyses (Table 1) .

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