郭文章, 郭青, 马晓洁, 朱可怡, 高洁, 涂文校, 孟玲, 廖凯举, 笃梦雪, 孔庆福, 向妮娟. 2019和2022年全国疾病预防控制中心传染病预防控制人力资源配置分析[J]. 疾病监测, 2024, 39(6): 787-793. DOI: 10.3784/jbjc.202401020709
引用本文: 郭文章, 郭青, 马晓洁, 朱可怡, 高洁, 涂文校, 孟玲, 廖凯举, 笃梦雪, 孔庆福, 向妮娟. 2019和2022年全国疾病预防控制中心传染病预防控制人力资源配置分析[J]. 疾病监测, 2024, 39(6): 787-793. DOI: 10.3784/jbjc.202401020709
Guo Wenzhang, Guo Qing, Ma Xiaojie, Zhu Keyi, Gao Jie, Tu Wenxiao, Meng Ling, Liao Kaiju, Du Mengxue, Kong Qingfu, Xiang Nijuan. Human resources allocation for infectious disease prevention and control in national centers for disease control and prevention in 2019 and 2022[J]. Disease Surveillance, 2024, 39(6): 787-793. DOI: 10.3784/jbjc.202401020709
Citation: Guo Wenzhang, Guo Qing, Ma Xiaojie, Zhu Keyi, Gao Jie, Tu Wenxiao, Meng Ling, Liao Kaiju, Du Mengxue, Kong Qingfu, Xiang Nijuan. Human resources allocation for infectious disease prevention and control in national centers for disease control and prevention in 2019 and 2022[J]. Disease Surveillance, 2024, 39(6): 787-793. DOI: 10.3784/jbjc.202401020709

2019和2022年全国疾病预防控制中心传染病预防控制人力资源配置分析

Human resources allocation for infectious disease prevention and control in national centers for disease control and prevention in 2019 and 2022

  • 摘要:
    目的  明确我国疾病预防控制中心(疾控中心)传染病预防控制人力资源的基本特点,为加强疾控中心人才建设提供依据。
    方法  在中国疾病预防控制信息系统中收集2019和2022年全国31个省(自治区、直辖市)和新疆生产建设兵团登记的工作职责为“传染病预防控制”的人员信息,对传染病预防控制人员的数量、年龄、学历、职称、人力综合素质等进行描述性分析。
    结果 2019—2022年我国疾控中心每百万人口传染病预防控制人员数量增长6.09/100万,每百万人口25~34岁人员、本科学历人员、无职称人员数量分别增长2.72/100万、4.56/100万、2.07/100万。 2022年传染病预防控制人员平均年龄(40.78±10.85)岁,较2019年(41.11±9.98岁)降低0.33岁;2022年25~34岁、35~44岁、45~54岁年龄组人员分别占29.38%、26.82%、27.37%;本科、研究生学历人员分别占51.85%、10.04%;初级、中级、高级职称人员分别占36.21%、27.05%、16.88%。 2022年全国疾控中心人力综合素质平均分为(9.88±1.74)分,低于2019年的平均分(9.93±1.81)分。 全国省市之间疾控中心平均分差距(1.03分)明显高于市县之间(0.14分),中部地区省县之间平均分相差最大(1.85分)。
    结论  2019—2022年全国疾控中心传染病预防控制人员总数大幅上升,呈年轻化、高学历趋势。中部地区疾控中心需加强传染病预防控制队伍建设。

     

    Abstract:
    Objective To elucidate the fundamental characteristics of human resources responsible for infectious disease prevention and control at the different level centers for disease control and prevention (CDCs) in China, and to provide a basis for strengthening CDC's talent policy.
    Methods The personnel information of Infectious Disease Prevention and Control registered by 31 provinces (autonomous regions, municipalities directly under the central government) and Xinjiang production and Construction Corps in 2019 and 2022 collected in national disease prevention and control information system. A descriptive analysis was conducted on the number, age, educational background, professional title and comprehensive quality of CDCs’ human resources involved in infectious disease prevention and control.
    Results  (1) From 2019 to 2022, the number of infectious disease prevention and control personnel per million population increased by 6.09/106, and the number of personnel aged 25-34 years old, those with a bachelor’s degree and those without professional titles increased by 2.72/106, 4.56/106 and 2.07/106, respectively. (2) The arithmetic mean age of infectious disease prevention and control personnel in 2022 was 40.78±10.85 years, 0.33 years lower than that in 2019 (41.11±9.98 years). In 2022, personnel aged 25-34, 35-44, and 45-54 years old accounted for 29.38%, 26.82%, and 27.37%, respectively. (3) In 2022, those holding bachelor's and postgraduate degrees accounted for 51.85% and 10.04%, respectively. (4) In 2022, staff with junior, intermediate and senior professional titles accounted for 36.21%, 27.05%, 16.88%, respectively. (5) In 2022, the arithmetic mean score of the comprehensive quality of human resources in the national CDCs were 9.88±1.74, respectively, lower than those in 2019 (9.93±1.81). The average score gap between provincial and municipal CDCs (1.03) was significantly higher than that between municipal and county-level CDCs (0.14), with the largest average score gap between provincial and county-level CDCs in central region (1.85).
    Conclusion The total number of infectious disease prevention and control personnel in national CDCs increased significantly from 2019 to 2022, with a trend of younger and higher education. The infectious disease prevention and control team of the CDCs in the central region needs to be strengthened.

     

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