Simulating and forecasting the cumulative confirmed cases of SARS-CoV-2 in China by Boltzmann function-based regression analyses - 14/04/20
Doi : 10.1016/j.jinf.2020.02.019
Xinmiao Fu a, ⁎ 
, Qi Ying b, Tieyong Zeng c, Tao Long d, Yan Wang a
, Qi Ying b, Tieyong Zeng c, Tao Long d, Yan Wang a a Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University (Qishan campus), Room 214, Ligong Building, Fuzhou, Fujian 350117, China
b Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA
c Department of mathematics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong 99999, China
d Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, China
⁎Corresponding author.
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Highlights |
• | Cumulative confirmed cases in China were well fitted with Boltzmann function. |
• | Potential total numbers of confirmed cases in different regions were estimated. |
• | Key dates indicating minimal daily number of new confirmed cases were estimated. |
• | Cumulative confirmed cases of 2003 SARS-CoV were well fitted to Boltzmann function. |
• | The Boltzmann function was, for the first time, applied to epidemic analysis. |
Keywords : SARS-CoV-2, 2019-nCoV, Boltzmann function, Coronavirus, SARS, Epidemic, Modeling studies
© 2020
Publié par Elsevier Masson SAS.
Vol 80 - N° 5
P. 578-606 - mai 2020 Retour au numéro
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