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Analysis on the application of infectious diseases automated-alert and response system in Tianjin during the 13th Five-Year Plan period / 公共卫生与预防医学
Journal of Public Health and Preventive Medicine ; (6): 31-34, 2022.
Article in Chinese | WPRIM | ID: wpr-923332
ABSTRACT
Objective To analyze the epidemiological characteristics of automatic warning signals of infectious diseases received in Tianjin during the 13th Five-Year Plan period, and to provide reference for the function optimization of automatic warning system of infectious diseases during the 14th Five-year Plan period. Methods The data of infectious disease automatic early warning signals in Tianjin from 2016 to 2020 were downloaded from the China infectious diseases automated-alert and response system (CIDARS). The characteristics and response of early warning signals were analyzed by descriptive method. Results During the 13th Five-Year Plan period, 23,660 early warning signals were received in Tianjin, involving 39 kinds of infectious diseases, with 100% response rate and 1.10% positive rate of early warning signals. The median response time of warning signal was 0.53 hours (P25-P75 0.19-1.17h). 95.74% of signals were responded within 2 hours and 98.47% of signals were responded within 24 hours. COVID-19, other infectious diarrhea diseases, dysentery, measles, and scarlet fever were the top five diseases with early warning signals. Conclusion During the 13th Five-Year, the automatic early warning system of infectious diseases in Tianjin runs well and has a high response rate, but the positive rate of early warning signal is low. During the 14th Five-Year,further research is needed to improve the early warning threshold according to the prevention and control needs and epidemic characteristics of different diseases, and to improve early warning positive rate.

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Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Public Health and Preventive Medicine Year: 2022 Type: Article

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Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Public Health and Preventive Medicine Year: 2022 Type: Article