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Peer-reviewedCC BY-NCChina CDC weekly

Empirical Evaluation of Indicators for Public Health System Development in Primary and Secondary Schools - Beijing, China, 2025.

  • Xinyu Hou1
  • Jingxuan Zhao2
  • Haoqi Wang2
  • Jia Yang2
  1. 1Department of Infectious Disease Prevention and Control, Huludao Central Hospital, Huludao City, Liaoning Province, China.
  2. 2School of Public Health, Capital Medical University, Beijing, China.
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Abstract

Localized tools for evaluating school public health systems in China remain limited. This study converted a previously developed indicator system into a quantitative assessment tool. K-means cluster analysis identified three school types and demonstrated the system's discriminant validity, providing empirical support for classifying school public health systems. Improving school public health systems requires coordinated action in governance, resources, and disease prevention and control. Tailored, dynamic assessment should replace uniform approaches, and routine monitoring should be integrated into daily management to support continuous improvement.

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Cite

BibTeXRIS
BibTeX
@article{hou2026empirical,
  title = {{Empirical Evaluation of Indicators for Public Health System Development in Primary and Secondary Schools - Beijing, China, 2025.}},
  author = {Xinyu Hou and Jingxuan Zhao and Haoqi Wang and Jia Yang},
  journal = {China CDC weekly},
  year = {2026},
  month = oct,
  doi = {10.46234/ccdcw2026.210},
  url = {https://europepmc.org/article/MED/42996641},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Empirical Evaluation of Indicators for Public Health System Development in Primary and Secondary Schools - Beijing, China, 2025.
AU  - Xinyu Hou
AU  - Jingxuan Zhao
AU  - Haoqi Wang
AU  - Jia Yang
PY  - 2026
DA  - 2026/10/01
JO  - China CDC weekly
DO  - 10.46234/ccdcw2026.210
UR  - https://europepmc.org/article/MED/42996641
AB  - Localized tools for evaluating school public health systems in China remain limited. This study converted a previously developed indicator system into a quantitative assessment tool. K-means cluster analysis identified three school types and demonstrated the system's discriminant validity, providing empirical support for classifying school public health systems. Improving school public health systems requires coordinated action in governance, resources, and disease prevention and control. Tailored, dynamic assessment should replace uniform approaches, and routine monitoring should be integrated into daily management to support continuous improvement.
SN  - 2096-7071
ER  -