| Autor: |
Jia HX; Xiaoshan District Center for Disease Control and Prevention, Hangzhou 311203, China., Jiang LF; Xiaoshan District Center for Disease Control and Prevention, Hangzhou 311203, China., Wang CL; Xiaoshan District Center for Disease Control and Prevention, Hangzhou 311203, China., Zhang JN; Xiaoshan District Center for Disease Control and Prevention, Hangzhou 311203, China., Wei YN; Xiaoshan District Center for Disease Control and Prevention, Hangzhou 311203, China., Lu JF; Xiaoshan District First People's Hospital, Hangzhou 311203, China., Qiu YM; Hangzhou Gupo Medical Technology Co., Ltd, Hangzhou 311215, China., Zhao JJ; Hangzhou Gupo Medical Technology Co., Ltd, Hangzhou 311215, China., Ma BJ; Hangzhou Gupo Medical Technology Co., Ltd, Hangzhou 311215, China. |
| Abstrakt: |
Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan's health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system. |
