Evidence map›Paper›PMID 40308906›Full record

ArticleFrontiers in public health2025

Trends and inequality of human resource in centers for disease control and prevention in China from 2019 to 2023.

Na Zhang, Qiong Wu, Shaoqiong Li, Chongyi Wang, Ayan Mao, Qing Guo, Wuqi Qiu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Na Zhang *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qiong Wu *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shaoqiong LiInformation Center, Chinese Center for Disease Control and Prevention, Beijing, China.
Chongyi WangInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ayan MaoInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing GuoInformation Center, Chinese Center for Disease Control and Prevention, Beijing, China.
Wuqi QiuInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The public health workforce plays a crucial role in the development of health systems, particularly in enhancing the capacity of public health infrastructure. Understanding the current status of human resources in the Centers for Disease Control and Prevention (CDC) is essential for establishing future development goals. This study aims to assess the quantity and equity of the human resources in China's CDCs since the outbreak of COVID-19, with the goal of promoting a more equitable distribution of the CDC workforce and enhancing the capacity to respond effectively to major public health emergencies. Methods: Using nationwide administrative data from China CDC (2019-2023), we conducted a two-stage analysis: First, we conducted a descriptive analysis of the current status and trends of the CDC workforce. Second, we performed an equity assessment through multilevel decomposition (1) Calculated Gini coefficients across three dimensions (geography, Gross Domestic Product per capita, population density); (2) Applied Theil T/L index to partition inequalities into within-region and between-region components. Results: Between 2019 and 2023, the CDC workforce in China increased to 230,594 employees, with workforce density rising from 1.3 to 1.64 per 10,000 residents, 76.26% being health professionals, a majority of whom were female, and the 25-34 age group comprising the largest segment (29.06%). Additionally, while the proportion with less than 5 years of service grew, staff with over 30 years of service formed the largest tenure group (30.69%). The Gini coefficient revealed extreme spatial inequality, indicating that geographic distribution was significantly exceeding those based on economic and population distributions, with values of 0.5815, 0.3866, and 0.1843, respectively, in 2023. Decomposition of inequality indicated that both general staff and health professionals were primarily affected by within-region disparities, with an increasing trend of within-region inequity from 2019 to 2023. In 2023, Theil T analysis showed that within-region inequality accounted for 76.67% of staff disparities, while for health professionals, this figure was 64.21%. Conclusion: The human resource landscape in China's CDCs faces challenges related to both underfunding and an aging workforce. Inequities in workforce distribution persisted from 2019 to 2023, with significant disparities within regions. Strengthening the CDC workforce, particularly in underdeveloped and sparsely populated areas, is essential for addressing these challenges.

Indexed as

Centers for Disease Control and Prevention, U.S.Health WorkforcePublic HealthAdultChinaCOVID-19FemaleHumansMaleUnited StatesGini coefficientinequalitypublic health workforceTheil indextrend

Identifiers

PMID40308906
PMCPMC12040871

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.