Objective: To find out climate-related risk factors and their roles in Community-acquired Pneumonia with syndrome of Chinese medicine. Methods: A database is integrated monthly climate factors and cases of Guangdong Hospital of TCM from 2009 to 2013. Monthly climate data( 2009-2013) were collected from the Guangdong Meteorological Service. One popular algorithm,The Least Absolute Shrinkage and Selectionator operator( lasso), a shrinkage and selection method for linear regression is applied to select related climate factors and build prediction model. Mean square error( MSE) is used as evaluation criterion. Results: There were 16737 cases included 5741 cases which were community-acquired pneumonia with syndrome of wind-heat invading lung and 4910 cases which were community-acquired pneumonia with syndrome of phlegm-heat congesting lung in total from 2009 to 2013. The MSE of community-acquired pneumonia with syndrome of wind-heat invading lung is lowest when we using eight months'climate data. The MSE is 0.4613. Monthly mean sunshine duration of one month before( MSD2) have a strong correlations with community-acquired pneumonia with syndrome of wind-heat invading lung. The MSE of community-acquired pneumonia with syndrome of phlegm-heat congesting lung is lowest when we using eight months'climate data. The MSE is 0.3393. Monthly mean sunshine duration of one month before( MSD2), monthly mean sunshine duration of two month before( MSD3), monthly mean sunshine duration of four month before( MSD5), monthly mean sunshine duration of seven month before( MSD8), monthly mean wind velocity of two month before( MWV3), monthly mean temperature of six month before( MT7), monthly mean relative humidity of six month before( MinRH7), monthly accumulative precipitation of seven month before( AP8) have a strong correlations with community-acquired pneumonia with syndrome of phlegm-heat congesting lung. Conclusion: Climate factors have affected the transmission of community-acquired pneumonia with syndrome of Chinese medicine. Community-acquired pneumonia prevention and control would benefit from by giving more consideration to local climate variations. Relevant public health strategies should be developed at an earlier stage to prevent and reduce the impact of infectious disease associated with climate change.