Abstract In this paper, by discussing the cumulative number of people of confirmed SARS(severe acute respiratory syndrome) virus infection in Beijing and Hongkong in 2003, and basing on the data of the number of novel coronavirus pneumonia(called NCP or 2019-nCOV(2019-new coronavirus)) confirmed infection in China between 11 January and 21 February 2020, using the simple analysis method of the general saturation process, corresponding partial-symmetrical equations(or weak-symmetrical equations) are given. Then by using the partial-symmetrical equations, the SIR model equations with the small sample data volume are discussed, PSSIR model equations and its approximate solutions are given preliminarily, and the accumulated data of the novel coronavirus pneumonia infection in China and in China except for Hubei Province are analyzed and calculated tentatively. At the same time, corresponding inflection point position and stage limit value of tendency prediction are given too. The results of this paper provide a reference for the description of multivariable nonlinear dynamic equations in the development of viral infection.
Keywords novel coronavirus pneumonia, SARS virus, infection data, partial-symmetrical equations, PSSIR model equations, approximate solutions, tendency prediction
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