杭州市学校症状监测系统在突发公共卫生事件中的作用

黄春萍; 王兵; 王婧; 宋姝娟; 孙炜; 丁华

doi:10.16835/j.cnki.1000-9817.2021.04.034

杭州市学校症状监测系统在突发公共卫生事件中的作用

doi: 10.16835/j.cnki.1000-9817.2021.04.034

1.
浙江省杭州市疾病预防控制中心传染病防制所，310021
2.
杭州市疾病预防控制中心科教信息科
3.
杭州市五云山疗养院

基金项目:

浙江省医药卫生科技计划项目 2019KY541

杭州市医药卫生科技计划项目 A20200591

详细信息

作者简介:
黄春萍(1973-)，女，广西省人，硕士，主任医师，主要从事疾病预防与控制工作

中图分类号: G 478 R 181.8
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- 文章访问数: 723
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- 被引次数: 0
出版历程
- 收稿日期: 2020-11-05
- 修回日期: 2021-02-09
- 网络出版日期: 2021-04-16
- 刊出日期: 2021-04-25

Role of school-based symptom monitoring system in public health emergencies in Hangzhou

1.
Infectious Disease Control Institute, Hangzhou Center for Disease Control and Prevention, Hangzhou(310021), China

摘要

摘要: 目的分析杭州市学校症状监测系统在突发公共卫生事件中的作用，为学校突发公共卫生事件防控策略的制定提供依据。方法收集《突发公共卫生事件报告管理信息系统》中杭州市2019年报告的学校突发公共卫生事件信息，以及《杭州市学校症状监测系统》中学校及自动预警相关信息。利用SAS 9.0软件对学校系统使用情况进行分析，并对阳性预警事件和突发公共卫生事件进行比较。结果 2019年杭州市学校症状监测系统平均使用率为54.65%，自动预警平均响应率为70.68%，不同地区学校系统使用和自动预警响应率间差异均有统计学意义(χ²值分别为860.79，1 615.91，P值均 < 0.01)。全年通过学校症状监测系统发现阳性预警事件161起，通过突发网报告突发公共卫生事件197起，阳性预警事件发现越多的地区突发公共卫生事件报告越少(Z=10.65，P < 0.01)，阳性预警事件与突发公共卫生事件病种构成不同(χ²=28.33，P < 0.01)。同一病种阳性预警事件发病人数均远少于未预警突发公共卫生事件发病人数，阳性预警信号发出时间距离接到突发公共卫生事件报告的时间平均提前4 d。结论基于智能手机的杭州市学校症状监测系统在防控学校突发公共卫生事件中发挥了哨兵作用。
- 体征和症状 /
- 公共卫生 /
- 人群监测 /
- 组织和管理 /
- 学生保健服务
Abstract: Objective To analyze the role of school-based symptom monitoring system in public health emergencies in Hangzhou, to provide the basis for prevention and control strategies for public health emergencies in schools. Methods Data regarding school public health emergencies in Hangzhou in 2019 were collected from the Public Health Emergencies Report Management Information System, and data regarding public health early warning in schools were collected from the Hangzhou School Symptom Monitoring System. The usage of school symptom monitoring system was analyzed by SAS 9.0 software, and the positive warning events and public health emergencies were compared and analyzed, the rate and composition ratio were compared with the χ² test, the number of cases was compared with the non-parameter rank and the Mann-Whitney test, and the trend test was conducted using Cochran-Armitage test. Results In 2019, the average use rate of the city's school symptom monitoring system was 54.65%, the average response rate of automatic early warning was 70.68%, and the use rate (χ²=860.79, P < 0.01) and automatic early warning response rate (χ²=1 615.91, P < 0.01) of school systems varied greatly by region. In 2019, 161 positive early warning incidents were detected through the school symptom monitoring system, 197 public health emergencies were reported through the emergency network, and fewer public health emergencies were reported in areas where more positive warning events were detected(Z=10.65, P < 0.01). The proportion of disease category in positive warning events was different from that in public health emergencies in(χ²=28.33, P < 0.01). The number of cases of positive early warning events of the same disease was much lower than the number of cases of public health emergencies without warning, and the time of positive warning signals was on average 4 days ahead of the time of receiving the report of public health emergencies. Conclusion Smartphone-based school symptom monitoring system in Hangzhou plays a sentinel role in public health emergencies prevention and control in schools.
- Signs and symptoms /
- Public health /
- Population surveillance /
- Organization and administration /
- Student health services

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表 1 不同地区学校症状监测系统使用率及自动预警响应率比较

Table 1. Comparison of symptom monitoring system usage and automatic early warning response rate in different region schools

地区	症状监测系统		自动预警
地区	学校数	学校使用数	总条数	响应数
上城区	90	47(52.22)	151	151(100.00)
下城区	115	93(80.87)	160	160(100.00)
江干区	165	152(92.12)	353	348(98.58)
拱墅区	149	112(75.17)	262	80(30.53)
西湖区	181	53(29.28)	138	126(91.30)
西湖名胜区	9	5(55.56)	1	0
滨江区	96	86(89.58)	398	83(20.85)
萧山区	338	22(6.51)	57	33(57.89)
富阳区	179	133(74.30)	490	473(96.53)
桐庐县	138	25(18.12)	24	0
临安区	202	179(88.61)	318	257(80.82)
建德市	119	68(57.14)	61	61(100.00)
淳安县	106	53(50.00)	167	147(88.02)
钱塘新区	133	76(57.14)	210	53(25.24)
余杭区	/	2	0	0
合计	2 020	1 104(54.65)	2 790	1 972(70.68)
注：()内数字为百分率/%。

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表 2 不同地区阳性预警事件和突发公共卫生事件分布

Table 2. Area distribution of positive warning events and public health emergencies

地区	阳性预警事件(n=161)	突发公共卫生事件(n=197)
上城区	18(11.18)	5(2.54)
下城区	4(2.48)	6(3.05)
江干区	26(16.15)	12(6.09)
拱墅区	9(5.59)	16(8.12)
西湖区	20(12.42)	15(7.61)
西湖名胜区	0	1(0.51)
滨江区	12(7.45)	24(12.18)
萧山区	0	58(29.44)
富阳区	48(29.81)	8(4.06)
桐庐县	0	7(3.55)
临安区	12(7.45)	12(6.09)
建德市	3(1.86)	3(1.52)
淳安县	5(3.11)	6(3.05)
钱塘新区	4(2.48)	13(6.60)
余杭区	0	11(5.58)
注：()内数字为构成比/%。

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