Analysis on the application of infectious diseases automated-alert and response system in Tianjin during the 13th Five-Year Plan period
10.3969/j.issn.1006-2483.2022.02.007
- VernacularTitle:“十三五”期间天津市传染病自动预警系统运行情况分析
- Author:
Pin ZHOU
1
;
Ning ZHOU
1
;
Zhiguo WU
1
;
Hui XIAO
1
Author Information
1. Department of Emergency Management, Tianjin Center for Disease Control and Prevention, Tianjin 300011, China
- Publication Type:Journal Article
- Keywords:
13th Five-Year;
Infectious diseases;
Early warning signal;
Epidemiological characteristic
- From:
Journal of Public Health and Preventive Medicine
2022;33(2):31-34
- CountryChina
- Language:Chinese
-
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.
