swccm

Respiratory diseases pose a serious threat to the health of residents worldwide and cause enormous socio-economic losses. It is extremely urgent to accurately identify the environmental driving factors of respiratory diseases. In this study, the Convergent Cross Mapping (CCM) method was improved, and the Spatial Weighted Convergent Cross Mapping (SWCCM) method was proposed. Based on this method, we conducted an inferential analysis of the causal relationships between environmental factors and respiratory disease hospitalization rates in Jiangsu Province from 2020 to 2023 to explore key driving factors. The study found that the causal effect of air temperature was the most significant, followed by dew point temperature. Other environmental factors such as O₃, PM2.5, and air pressure also showed strong pathogenic effects; the impact of relative humidity was weak, while NO₂, wind speed, and precipitation did not show significant causal associations under the conditions of this study. The results of this study provide an important basis for the prevention and control of respiratory diseases and the formulation of intervention strategies for environmental factors.