【Abstract】Objective Based on the mosquito infestation density in Nanjing, a seasonal differential autoregressive moving average model prediction method was established to provide new ideas and methods for the further prevention and control of mosquito-borne diseases and the development of patriotic health campaigns. Methods The seasonal difference autoregressive moving average model was used to predict the mosquito density in 2019. Results The fitted prediction model was: ARIMA(2,1,0)(1,1,0)12, the model residual sequence was white noise, and the model prediction was fitted with R2=0.9067. Conclusion The fitting effect of the model prediction is good, indicating that the ARIMA model is suitable for the study of mosquito infestation prediction.