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Objective:  The aim of this study is to analyze the latent class of basic reproduction number ( R  0 ) trends of the 2019 novel coronavirus disease (COVID-19) in the major endemic areas of China.   Methods:  The provinces that reported more than 500 cases of COVID-19 till February 18, 2020 were selected as the major endemic areas. The Verhulst model was used to fit the growth rate of cumulative confirmed cases. The  R  0  of COVID-19 was calculated using the parameters of severe acute respiratory syndrome (SARS) and COVID-19. The latent class of  R  0  was analyzed using the latent profile analysis (LPA) model.   Results:  The median  R  0  calculated from the SARS and COVID-19 parameters were 1.84–3.18 and 1.74–2.91, respectively. The  R  0  calculated from the SARS parameters was greater than that calculated from the COVID-19 parameters ( Z  = −4.782 to −4.623,  p  < 0.01). Both  R  0  can be divided into three latent classes. The initial value of  R  0  in class 1 (Shandong Province, Sichuan Province, and Chongqing Municipality) was relatively low and decreased slowly. The initial value of  R  0  in class 2 (Anhui Province, Hunan Province, Jiangxi Province, Henan Province, Zhejiang Province, Guangdong Province, and Jiangsu Province) was relatively high and decreased rapidly. Moreover, the initial  R  0  value of class 3 (Hubei Province) was in the range between that of classes 1 and 2, but the higher  R  0  level lasted longer and decreased slowly.   Conclusion:  The results indicated that the overall  R  0  trend is decreased with the strengthening of comprehensive prevention and control measures of China for COVID-19, however, there are regional differences.

Basic Reproduction Number of the 2019 Novel Coronavirus Disease in the Major Endemic Areas of China: A Latent Profile Analysis