高级检索
毛阿燕, 杨玉洁, 都率, 赵敏捷, 孟月莉, 邱五七, 刘秀颖. 北京市疾控机构专业技术人员新冠肺炎疫情防控期间岗位分布及能力建设需求分析[J]. 中国公共卫生, 2022, 38(6): 719-723. DOI: 10.11847/zgggws1136648
引用本文: 毛阿燕, 杨玉洁, 都率, 赵敏捷, 孟月莉, 邱五七, 刘秀颖. 北京市疾控机构专业技术人员新冠肺炎疫情防控期间岗位分布及能力建设需求分析[J]. 中国公共卫生, 2022, 38(6): 719-723. DOI: 10.11847/zgggws1136648
MAO A-yan, YANG Yu-jie, DU Shuai, . Professional personnel allocation and capacity building requirement in disease prevention and control institutions in Beijing during COVID-19 epidemic: a cross- sectional survey[J]. Chinese Journal of Public Health, 2022, 38(6): 719-723. DOI: 10.11847/zgggws1136648
Citation: MAO A-yan, YANG Yu-jie, DU Shuai, . Professional personnel allocation and capacity building requirement in disease prevention and control institutions in Beijing during COVID-19 epidemic: a cross- sectional survey[J]. Chinese Journal of Public Health, 2022, 38(6): 719-723. DOI: 10.11847/zgggws1136648

北京市疾控机构专业技术人员新冠肺炎疫情防控期间岗位分布及能力建设需求分析

Professional personnel allocation and capacity building requirement in disease prevention and control institutions in Beijing during COVID-19 epidemic: a cross- sectional survey

  • 摘要:
      目的  总结北京市区两级疾病预防控制体系(以下简称疾控体系)专业技术人才在疫情期间与平时岗位的交叉补充规律及其能力建设方面的需求,为疾控体系的传染病疫情人才储备及梯队建设提供科学依据。
      方法   于2021年4 — 5月以北京市为调查现场,采用整群及方便抽样方法,对当地疾控体系的专业技术人员开展电子问卷调查,共纳入1086名研究对象,采用SPSS 22.0软件进行统计分析。
      结果  在全部1086名受访对象中,有1032人参与了新冠肺炎疫情防控工作。人员的学科分布以公共卫生类专业(61.74 %)和卫生检验专业(13.18 %)为主。在新冠肺炎疫情防控期间,参与现场流调及采样工作人员,平时多工作于传染性疾病预防控制(26.70 %),职业性、放射性、环境性疾病监测评价(10.49 %)和非传染性疾病预防控制(7.56 %)岗位;承担病毒样本检测任务的工作人员平时大都工作于病原微生物与生物检验(33.86 %)、传染性疾病预防控制(17.72 %)和理化检验(13.39 %)岗位;信息监测、统计分析与数据库管理工作人员平时岗位多集中于传染性疾病预防控制(28.98 %)、业务管理与质量控制(8.48 %)和突发公共卫生事件应急管理方面(7.89 %)。专业技术人员核心关键能力建设的需求在数据获取及分析方面的能力建设需求最突出,具体包括大型数据库的整合与分析能力(46.22 %)、复杂数学模型建模能力(49.54 %)、大数据获取与分析能力(48.43 %)和数据挖掘能力(49.45 %)。
      结论  疫情防控岗位人员学科分布有明显的集中特征,且以平时相关业务科室人员为主体,其他学科背景人员的纳入提示了后备学科及岗位的交叉补充作用;疾控体系专业技术人员的能力建设需求更多地体现在数据及检测方法开发利用和疫情防控的交叉学科知识方面。

     

    Abstract:
      Objective   To summarize the status of emergency response-related professional/technical personnel deployment and replenishment and capacity building requirement in municipal and district disease prevention and control institutions of Beijing during coronavirus disease 2019 (COVID-19) epidemic for providing evidences to the management of human resource for epidemic control in the institutions.
      Methods  Using cluster and convenient sampling, we conducted an online survey among 1 127 professionals in one municipal center and 4 district centers for disease control and prevention (CDC) in Beijing with a self-designed questionnaire during April – May, 2021. Absolute quantity, constituent ratio, and Fisher′s exact test were adopted in statistical analyses with Microsoft Excel 2010 and SPSS 22.0 software.
      Results  Of the 1 086 respondents with valid replies, 1 032 reported the involvement in COVID-19) epidemic control work and the majority (61.74%) of the involved personnel were with the specialty of public health, followed by those (13.18%) with health inspection. For the personnel assigned to on-site survey and sampling during the epidemic period, 26.70% were routinely engaged in infectious disease prevention and control, 10.49% in occupation/radiation/environment health surveillance and assessment, and 7.56% in non communicable disease prevention and control; for the personnel assigned to viral specimen detection, 33.86% were routinely engaged in pathogenic microorganism and biological specimen detection, 17.72% in infectious disease prevention and control, and 13.39% in and physical and chemical detection; while for the personnel assigned to information monitoring, data analysis and management, 28.98% were routinely engaged in infectious disease prevention and control, 8.48% in administrative management and quality control, and 7.89% in the management on public health emergency response, respectively. Nearly a half of the respondents reported the requirement for the improvement in epidemic control-related data acquisition and analysis, with 46.22%, 49.54%, 48.43%, and 49.45% of the respondents indicating the requirement for ability improvement in large-scale database integration and analysis, complex mathematical model modeling, big data acquisition and analysis, and data mining.
      Conclusion  In Beijing city, the CDC′s personnel involved in COVID-19 epidemic containment were mainly those with the specialty of public health and health inspection and the day-to-day work in departments on disease control and prevention. The improvement for data management/analysis and detection method development/application are among the items of professional capability building most frequently reported by the personnel.

     

/

返回文章
返回