  In December 2019, a novel coronavirus was found in a seafood wholesale market
in Wuhan, China. WHO officially named this coronavirus as COVID-19. Since the
first patient was hospitalized on December 12, 2019, China has reported a total
of 78,824 confirmed CONID-19 cases and 2,788 deaths as of February 28, 2020.
Wuhan's cumulative confirmed cases and deaths accounted for 61.1% and 76.5% of
the whole China mainland , making it the priority center for epidemic
prevention and control. Meanwhile, 51 countries and regions outside China have
reported 4,879 confirmed cases and 79 deaths as of February 28, 2020. COVID-19
epidemic does great harm to people's daily life and country's economic
development. This paper adopts three kinds of mathematical models, i.e.,
Logistic model, Bertalanffy model and Gompertz model. The epidemic trends of
SARS were first fitted and analyzed in order to prove the validity of the
existing mathematical models. The results were then used to fit and analyze the
situation of COVID-19. The prediction results of three different mathematical
models are different for different parameters and in different regions. In
general, the fitting effect of Logistic model may be the best among the three
models studied in this paper, while the fitting effect of Gompertz model may be
better than Bertalanffy model. According to the current trend, based on the
three models, the total number of people expected to be infected is 49852-57447
in Wuhan,12972-13405 in non-Hubei areas and 80261-85140 in China respectively.
The total death toll is 2502-5108 in Wuhan, 107-125 in Non-Hubei areas and
3150-6286 in China respetively. COVID-19 will be over p robably in late-April,
2020 in Wuhan and before late-March, 2020 in other areas respectively.
