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Public health risk assessment of imported infectious diseases in Jinhua |
HAN Zongmei*, PANG Zhifeng, ZHANG Guangming, ZHU Hao
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*Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China |
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Abstract Objective To carry out an assessment on the public health risk of imported infectious diseases in Jinhua, so as to provide evidence for prevention and control strategies.Methods Twenty-nine imported infectious diseases were recruited. A risk assessment index system was established by Delphi method and analytic hierarchy process. The actual values of each index of twenty-nine imported infectious diseases were obtained through special investigation,literature review and consultation. The risk scores were calculated by the improved technique for sequencing by approximate ideal solution (TOPSIS) and classified according to median.Results Among 41 experts recruited, 38 experts were engaged in infectious disease prevention and control, 31 had senior professional titles, and all had worked for more than 10 years. Through three rounds of consultation by Delphi method and analytic hierarchy process, the risk assessment index system (target level) included four items in criteria levels, which were response capacity, public health impact, the possibility of import and local transmission and population vulnerability in a descending order of weight; twenty-seven indicators, with international attention level, levels of medical institutions with confirmed cases, the emergency response capacity of Centers for Disease Control and Prevention (CDCs) , and effective vaccines with wide coverage weighed higher. There were eleven high-risk diseases, high response capacities lay in dengue, malaria, Zika virus disease and Chikungunya fever. The response capacities for sixteen of the eighteen low-risk diseases were insufficient, especially in emergency response capacity of CDCs, laboratory testing capacity and hospital infection control ability.Conclusion Jinhua has strong capacities to deal with the incidence of dengue fever, malaria, Zika virus disease and Chikungunya fever, compared with other imported infectious diseases.
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Received: 17 July 2020
Revised: 17 September 2020
Published: 09 November 2020
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[1] 金华市统计局.2018 年金华市国民经济和社会发展统计公报[EB/OL](. 2019-04-19)[2020-09-17]. http://www.jinhua.gov.cn/11330700002592599F/tjgb/wstjgb/201904/t20190409_3856619_1.html. [2] 庞志峰,楼挺,吴晓虹,等. 金华市2004—2014 年输入性登革热病例流行特征研究[J]. 中国预防医学杂志,2016,17(4):285-287. [3] 庞志峰,龚晗英,骆小君,等.2015—2017 年金华市输入性疟疾流行特征分析[J]. 中国寄生虫学与寄生虫病杂志,2018,36(6):615-618. [4] 庞志峰,章光明. 金华市埃博拉出血热输入和本地传播风险评估[J]. 预防医学,2019,31(4):335-340. [5] 林君芬,何凡,柴程良,等. 突发事件公共卫生风险评估理论与实践[M]. 杭州:浙江大学出版社,2016. [6] 蔡朝锦,周德亮,陈建国. 入境国际航行船舶传染病防控风险评估指标体系构建[J]. 现代预防医学, 2014, 41(10):1738-1741,1747. [7] 王春枝,斯琴. 德尔菲法中的数据统计处理方法及其应用研究[J]. 内蒙古财经学院学报(综合版),2011,9(4):92-96. [8] 邓凯杰,黄慧萍,李学云,等. 应用Delphi 法构建学校传染病防控能力评价体系[J]. 热带医学杂志,2014,14(1):107-110. [9] 张未寒,王子军. 中国传染病监测系统综合评价指标体系构建[J]. 中国公共卫生,2014,30(6):786-789. [10] 仇昀沁,周亚夫,袁欣,等. 基于德尔菲法的常州市公立医院考核体系构建研究[J]. 江苏卫生事业管理,2019,30(2):143-148. [11] 程琮,刘一志,王如德.Kendall 协调系数W检验及其SPSS 实现[J]. 泰山医学院学报,2010,31(7):487-490. [12] SAATY T L.How to make a decision : the analytic hierarchy pro-cess[J]. Eur J Oper Res,1980,48:9-26. [13] 谢芬,卞芸,丁永娟. 基于层次分析法的医院药品费用影响因素研究[J]. 中国药事,2018,32(12):1653-1659. [14] 张首芳,李月强. 基于层次分析法的山东省区域软实力综合评价[J]. 科技管理研究,2018,38(19):82-88. [15] 沈良. 基于AHP 构建医疗设备询价采购评价系统[J]. 江苏卫生事业管理,2018,29(3):327-329. [16] 张清慧,郭晓芹,高桂玲,等.AHP 在松江区上海世博会期间传染病风险评估中的应用[J]. 中国卫生统计,2012,29(5):664-666. [17] 王一任,任力峰,陈丽文,等. 一种改良TOPSIS 法及其医学应用[J]. 中南大学学报(医学版),2013,38(2):196-201. [18] 张龙,陈玉,余小文,等. 应用TOPSIS 法和RSR 法综合评价社区中医预防保健服务满意度[J]. 预防医学,2020,32(3):262-266. [19] 尚晓鹏,王心怡,何凡,等. 浙江省埃博拉出血热输入及本地传播风险评估[J]. 浙江预防医学,2014,26(12):1206-1209. [20] 杜道法,郭慧芬,马飞飞,等. 定性和定量评估我国埃博拉病毒病输入风险的方法学探讨[J]. 疾病监测,2015,30(7):551-554. |
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