Development and application syndromic surveillance and early warning system in border area in Yunnan Province.
10.3760/cma.j.cn112338-20221013-00882
- Author:
Xiao Xiao SONG
1
;
Le CAI
1
;
Wei LIU
1
;
Wen Long CUI
1
;
Xia PENG
2
;
Qiong Fen LI
2
;
Yi DONG
3
;
Ming Dong YANG
4
;
Bo Qian WU
5
;
Tao Ke YUE
5
;
Jian Hua FAN
6
;
Yuan Yuan LI
6
;
Yan LI
1
Author Information
1. School of Public Health, Kunming Medical University, Kunming 650500, China.
2. Yunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
3. Yunnan Provincial Institute for Endemic Diseases Control and Prevention, Dali 671000, China.
4. Yunnan Provincial Institute of Parasitic Diseases, Pu'er 665000, China.
5. Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Yunnan Province, Mangshi 678400, China.
6. Xishuangbanna Dai Autonomous Prefectural Center for Disease Control and Prevention, Yunnan Province, Jinghong 666100, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Influenza, Human;
Sentinel Surveillance;
Syndrome;
China;
Cell Phone
- From:
Chinese Journal of Epidemiology
2023;44(5):845-850
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas. Methods: Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study. Results: With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response. Conclusions: This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
