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Construction of surveillance and early warning indicator system for key infectious diseases in Anhui Province
YAN Yulu, ZHAO Yuqiu, YU Fang, DING Zhongxing, TIAN Yangyang, LI Xiaoyan, WU Jiabing, DENG Shu
Anhui Journal of Preventive Medicine ›› 2025, Vol. 31 ›› Issue (6) : 442-446.
PDF(1118 KB)
PDF(1118 KB)
Construction of surveillance and early warning indicator system for key infectious diseases in Anhui Province
Objective To establish a surveillance and early warning indicator system for key infectious diseases in Anhui Province, and standardize the construction and application of surveillance and early warning system. Methods A preliminary framework of the indicator system was developed through literature review and focus group discussions. Eighteen experts from within and outside Anhui Province were invited to conduct a Delphi expert consultation to score indicators at all levels. The final indicator system was determined based on screening criteria and expert suggestions, and the weights of each indicator were calculated by using the analytic hierarchy process. Results The positive coefficients of two rounds of expert consultations were both 100%, and the authority coefficients were both ≥0.91. The Kendall’s coordination coefficients of each index ranged from 0.249 to 0.377 (all P<0.05). The final monitoring and early warning indicator system consisted of 3 first-level indicators, 9 second-level indicators, and 43 third-level indicators. The indicators with the highest weights at the first, second, and third levels were “surveillance and early warning indicators for outbreak/epidemic risk factors”“disease surveillance and public health emergency reports” and “pathogen carrier rates and population density changes of vectors such as mosquitoes, ticks, and rodents”, respectively. Conclusion The surveillance and early warning indicator system for key infectious diseases constructed in this study has certain scientificity and rationality. In the future, through field application verification, the indicator system will be continuously improved to provide theoretical references for the early detection and warning of key infectious diseases in Anhui Province.
Key infectious diseases / Surveillance and early warning / Delphi method / Indicator system / Analytic hierarchy process
| [1] |
詹美蓉, 蔡少健, 黄峥强, 等. “一带一路” 沿线区域重点传染病流行现状与输入风险的应对措施[J]. 中国公共卫生管理, 2022, 38(6):800-803+807.
|
| [2] |
耿梦杰, 任翔, 彭质斌, 等. 2021年我国夏季重点传染病疫情形势分析[J]. 疾病监测, 2021, 36(8):811-817.
|
| [3] |
柳东如. 湖北省统筹区域传染病监测预警体系建设实践与思考[J]. 公共卫生与预防医学, 2023, 34(6):1-4.
|
| [4] |
高蓉, 蒋文慧. 新冠疫情背景下我国公共卫生体系建设的对策研究[J]. 中国公共卫生管理, 2021, 37(3):283-287.
|
| [5] |
滕雪娇, 邓舒, 赵玉秋, 等. 2011—2022年安徽省发热伴血小板减少综合征流行特征分析[J]. 疾病监测, 2024, 39(1):48-52.
|
| [6] |
朱梦, 侯赛, 冯玉杰, 等. 2018—2023年安徽省流行性感冒哨点监测结果分析[J]. 安徽医科大学学报, 2023, 58(11):1942-1946.
|
| [7] |
程雁鹏, 张振, 舒跃龙, 等. 基于“同一健康” 理念的重点传染病综合监测体系建设专家共识[J]. 新发传染病电子杂志, 2023, 8(4):69-79+2.
新中国自成立以来便不断完善重点传染病的监测工作,2003年SARS疫情之后建立了横向到边、纵向到底的传染病与突发公共卫生事件网络直报系统。随着病原体传播影响因素不断变化,对监测预警关口、预警信息、预警技术要求的不断提高,以及分子生物学、生物信息学、人工智能等鉴定分析技术的不断发展,增强早期监测预警能力逐渐成为健全公共卫生体系的当务之急。本共识组织中国医学科学院、广东省疾病预防控制中心、深圳市疾病预防控制中心、《新发传染病电子杂志》编辑部、深圳市动物疫病防控中心、成都市疾病预防控制中心等16家机构共计31位相关领域知名专家,通过对当前重点传染病(39种法定传染病和新发传染病)形势总结分析,基于“同一健康”理念,针对重点传染病,形成第四代综合监测方案。旨在通过对人、动物、病媒生物等主要疫源宿主和相关环境的病原体,结合流行传播影响因素、风险评估要素,展开流行病学和病原学系统性监测,以早期发现、预测预警重点传染病的发生、发展、变异和流行传播特征。同时,基于第四代综合监测方案,我们尝试构建传染病综合监测组织管理体系、数据融通共享的数智化监测预警平台和集约化病原检测技术体系。这一系列的思考,以多部门、多维度、多因素、多病原的系统性、综合性监测为基础,以数据融合、互通互联为支撑,以多领域合作为契机,以多学科结合应用为依托,为全面提升重点传染病综合监测预测预警能力提供参考,供传染性疾病预防控制和相关机构参考使用。
|
| [8] |
|
| [9] |
严薇荣. 传染病预警指标体系及三种预测模型的研究[D]. 武汉: 华中科技大学, 2008.
|
| [10] |
张婷瑜, 刘艳慧, 鲁影, 等. 传染病多点触发监测预警指标体系构建[J]. 中国公共卫生, 2024, 40(4):489-495.
|
| [11] |
陈伟, 任翔, 耿梦杰, 等. 现阶段传染病监测预警工作的重点、难点和优化思路[J]. 疾病监测, 2022, 37(6):730-733.
|
| [12] |
|
| [13] |
廖星豪, 艾丽孜热·艾尼瓦尔, 何淑珍, 等. 新冠肺炎疫情背景下西宁市新发传染病防控指标体系研究[J]. 医学动物防制, 2023, 39(11):1032-1036.
|
| [14] |
严薇荣, 施侣元, 张惠娟, 等. 传染病疫情预警指标及其框架体系构建[J]. 中国公共卫生, 2008, 24(7):889-890.
|
| [15] |
|
| [16] |
陈曼玉. 2020年1—3月湖北省周边省份新冠肺炎流行特征分析与防控措施评估[D]. 沈阳: 中国医科大学, 2022.
|
| [17] |
龚磊, 陈晴晴, 汪金生, 等. 发热伴血小板减少综合征高发地区人群血清抗体流行状况及感染危险因素[J]. 中华疾病控制杂志, 2025, 29(2):211-216.
|
| [18] |
曹明华. 发热伴血小板减少综合征流行病学进展[J]. 安徽预防医学杂志, 2020, 26(6):444-446+463.
|
| [19] |
刘起勇. 我国病媒生物监测与控制现状分析及展望[J]. 中国媒介生物学及控制杂志, 2015, 26(2):109-113+126.
|
| [20] |
Influenza viruses usually cause seasonal influenza epidemics and influenza pandemics, resulting in acute respiratory illness and, in severe cases, multiple organ complications and even death, posing a serious global and human health burden. Compared with other countries, China has a large population base and a large number of influenza cases and deaths. Currently, influenza vaccination remains the most cost-effective and efficient way to prevent and control influenza, which can significantly reduce the risk of influenza virus infection and serious complications. The antigenicity of the influenza vaccine exhibits good protective efficacy when matched to the seasonal epidemic strain. However, when influenza viruses undergo rapid and sustained antigenic drift resulting in a mismatch between the vaccine strain and the epidemic strain, the protective effect is greatly reduced. As a result, the flu vaccine must be reformulated and readministered annually, causing a significant drain on human and financial resources. Therefore, the development of a universal influenza vaccine is necessary for the complete fight against the influenza virus. By statistically analyzing cases related to influenza virus infection and death in China in recent years, this paper describes the existing marketed vaccines, vaccine distribution and vaccination in China and summarizes the candidate immunogens designed based on the structure of influenza virus, hoping to provide ideas for the design and development of new influenza vaccines in the future.
|
| [21] |
周晓红, 张高芹, 费云华. 涟水县2018年健康人群流行性脑脊髓膜炎带菌状况及免疫水平监测结果分析[J]. 安徽预防医学杂志, 2021, 27(3):238-240+252.
|
| [22] |
丁翀, 陈立凌, 刘芳, 等. 多点触发视角下的传染病监测预警系统的设计与实现[J]. 中国数字医学, 2022, 17(3):70-74.
|
| [23] |
鲁芳芳, 胡池, 徐承中, 等. 区域多点触发传染病预警机制的建立与应用[J]. 中国卫生信息管理杂志, 2022, 19(6):798-803.
|
| [24] |
吴家兵. 安徽省突发急性传染病防控现状与策略展望[J]. 安徽预防医学杂志, 2024, 30(3):173-178+194.
|
| [25] |
黄思超, 刘魁, 蒋健敏. 基于互联网搜索引擎的传染病监测预警研究进展[J]. 疾病监测, 2018, 33(11):945-949.
|
| [26] |
嘉雁苓. X区重大传染病疫情监测预警中存在的问题及对策研究——以新型冠状病毒感染为例[D]. 成都: 四川大学, 2023.
|
利益冲突声明 所有作者声明无利益冲突
感谢参与本项研究的所有专家对指标体系提出的意见与建议
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