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目的了解全国各省传染病疫情监测人员与工作管理现状,为进一步加强全国传染病疫情监测管理提供依据。方法采用问卷调查方式,对全国31个省(自治区、直辖市)及新疆生产建设兵团疾病预防控制中心(CDC)的传染病疫情监测管理部门完成调查。使用Excel软件和R(i386 3.2.2)软件完成数据录入与统计分析。结果全国32家省级疾病预防控制中心机构从事传染病疫情监测管理的人员以30~岁(42%)年龄段、硕士学历(47%)、预防医学专业(75%)和中级职称(45%)为主。除个别省份外,疫情监测数据的周、月、年等常规分析及专题分析、反馈机制较为健全。但将分析结果及时反馈给辖区医疗机构的单位仅为6家(19%)。多数省份采用较为传统的疫情分析技术与方法开展数据分析,仅8个省份利用软件技术实现了全自动或半自动分析,其中有4个省已在全省(市、区)范围内对新技术方法进行了推广。全国共有23家单位(72%)有派学员到中国CDC进行疫情数据分析技术和统计方法学为主的短期进修需求。结论我国省级疫情监测管理专业技术人员数量普遍偏少,人员结构有待优化。疫情监测数据分析机制已经形成,但应进一步加强对医疗机构的反馈。疫情数据分析利用普遍不够,分析技术有待创新,是今后很长一段时间需要重点加强的方向。
Objective To understand the current status of communicable disease surveillance personnel and work management in all provinces of the country and provide evidence for further strengthening the monitoring and management of epidemic situation in the country. Methods A questionnaire survey was conducted to investigate the epidemic situation of infectious diseases in 31 provinces (autonomous regions and municipalities) and Xinjiang Production and Construction Corps (CDC). Data entry and statistical analysis were done using Excel software and R (i386 3.2.2) software. Results Thirty-two provincial centers for disease control and prevention engaged in the monitoring and management of communicable diseases, with the age of 30 to 42%, master’s degree 47%, preventive medicine 75% and intermediate grade 45% ) Based. In addition to individual provinces, the routine, thematic, and thematic analysis of weeks, months and years of epidemic situation surveillance data has a sound feedback mechanism. However, the results of the timely feedback to the area of medical institutions only six units (19%). Most provinces use more traditional epidemiological analysis techniques and methods for data analysis. Only 8 provinces use software technology to achieve full-automatic or semi-automatic analysis. Among them, 4 provinces have carried out analysis of new technology methods in the province (city, district) Has been promoted. A total of 23 units (72%) of the country have short-term training needs to send students to CDC in China for epidemic data analysis techniques and statistical methodologies. Conclusion The number of professional technicians in the provincial epidemic situation monitoring and management in our country is generally small, and the personnel structure needs to be optimized. Epidemic monitoring data analysis mechanism has been formed, but should further strengthen the feedback to medical institutions. The analysis and utilization of epidemic data are generally not enough, and the analysis technology needs to be innovated, which is the direction that needs to be strengthened in a long time in the future.