Simulating and forecasting the cumulative confirmed cases of SARS-CoV-2 in China by Boltzmann function-based regression analyses. Academic Article

abstract

• 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.

authors

• Ying, Qi

published proceedings

• J Infect

altmetric score

• 0.75

author list (cited authors)

• Fu, X., Ying, Q. i., Zeng, T., Long, T., & Wang, Y.

citation count

• 22

complete list of authors

• Fu, Xinmiao||Ying, Qi||Zeng, Tieyong||Long, Tao||Wang, Yan

publication date

• May 2020

publisher

• Elsevier  Publisher

published in

• Journal of Infection  Journal

keywords

• 2019-ncov
• Betacoronavirus
• Boltzmann Function
• China
• Colistin
• Coronavirus
• Coronavirus Infections
• Covid-19
• Epidemic
• Genomics
• Humans
• Klebsiella Pneumoniae
• Modeling Studies
• Pandemics
• Pneumonia, Viral
• Regression Analysis
• SARS
• SARS Virus
• Sars-cov-2

PubMed Central ID

• 32112887

Digital Object Identifier (DOI)

• 10.1016/j.jinf.2020.02.019

start page

• 578

end page

• 606

volume

• 80

issue

• 5

URL

• http://dx.doi.org/10.1016/j.jinf.2020.02.019