Objective:To compare the optimal conditions, virus yield, viral titer and cell metabolism between culturing influenza virus H1N1 vaccine strain in MDCK and MDCK-G1 cells.Methods:The optimal culture conditions were investigated using chessboard method. The hemagglutination titer, half of the tissue infection dose (TCID 50) and the metabolism of glucose and lactic acid were monitored and compared between the two cell lines. Results:After MDCK-G1 cells were inoculated with H1N1 at the multiplicity of infection (MOI) of 0.001 with the presence of 1 μg/ml of trypsin, the hemagglutination titer reached the peak of 1∶512 at 72 h and the viral titer was 10 7.4TCID 50/ml. In the MDCK cell line group, the hemagglutination titer reached the peak of 1∶256 at 72 h and the viral titer was 10 6.6TCID 50/ml when using H1N1 at MOI=0.0001 and 1 μg/ml of trypsin. Conclusions:MDCK-G1 cells were more suitable than MDCK cells for the proliferation of influenza virus. This study provided reference data for further research on cell-derived influenza vaccine.

ObjectiveTo predict the incidence trend of influenza-like illness proportion （ILI%） in Shanghai using the seasonal autoregressive integrated moving average model （SARIMA）， and to provide an important reference for timely prevention and control measures. MethodsTime series analysis was performed on ILI% surveillance data of Shanghai Municipal Center for Disease Control and Prevention from the 15^th week of 2015 to the 52^nd week of 2019， and a prediction model was established. Seasonal autoregressive integrated moving average （SARIMA） model was established using data from the foregoing 212 weeks， and prediction effect of the model was evaluated using data from the latter 36 weeks. ResultsFrom the 15^th week of 2015 to the 52^nd week of 2019， the average ILI% in Shanghai was 1.494%， showing an obvious epidemic peak. SARIMA（1，0，0） （2，0，0） ₅₂ was finally modeled. The residual of the model was white noise sequence， and the true values were all within the 95% confidence interval of the predicted values. ConclusionSARIMA（1，0，0） （2，0，0） ₅₂ can be used for the medium term prediction of ILI% in Shanghai， and can play an early warning role for the epidemic and outbreak of influenza in Shanghai.