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Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
by
Jiang, Enfei
, Li, Yumin
, Lin, Li
, Li, Xia
in
Accuracy
/ Analytical hierarchy process approach(AHP)
/ Center for disease control and Prevention(CDC)
/ China - epidemiology
/ Cities
/ Criteria importance through the intercriteria Correlation(CRITIC)
/ Disease prevention
/ Economic development
/ Health Administration
/ Health Informatics
/ Health surveillance
/ Humans
/ Medicine
/ Medicine & Public Health
/ Nursing Research
/ Occupational disease surveillance and assessment
/ Occupational diseases
/ Occupational Diseases - epidemiology
/ Occupational Diseases - prevention & control
/ Occupational health
/ Population Surveillance - methods
/ Public Health
/ Questionnaires
/ Rank sum Ratio (RSR)
/ Surveys and Questionnaires
/ Technical support
/ Technique for order preference by similarity to an ideal solution (TOPSIS)
2025
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Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
by
Jiang, Enfei
, Li, Yumin
, Lin, Li
, Li, Xia
in
Accuracy
/ Analytical hierarchy process approach(AHP)
/ Center for disease control and Prevention(CDC)
/ China - epidemiology
/ Cities
/ Criteria importance through the intercriteria Correlation(CRITIC)
/ Disease prevention
/ Economic development
/ Health Administration
/ Health Informatics
/ Health surveillance
/ Humans
/ Medicine
/ Medicine & Public Health
/ Nursing Research
/ Occupational disease surveillance and assessment
/ Occupational diseases
/ Occupational Diseases - epidemiology
/ Occupational Diseases - prevention & control
/ Occupational health
/ Population Surveillance - methods
/ Public Health
/ Questionnaires
/ Rank sum Ratio (RSR)
/ Surveys and Questionnaires
/ Technical support
/ Technique for order preference by similarity to an ideal solution (TOPSIS)
2025
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Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
by
Jiang, Enfei
, Li, Yumin
, Lin, Li
, Li, Xia
in
Accuracy
/ Analytical hierarchy process approach(AHP)
/ Center for disease control and Prevention(CDC)
/ China - epidemiology
/ Cities
/ Criteria importance through the intercriteria Correlation(CRITIC)
/ Disease prevention
/ Economic development
/ Health Administration
/ Health Informatics
/ Health surveillance
/ Humans
/ Medicine
/ Medicine & Public Health
/ Nursing Research
/ Occupational disease surveillance and assessment
/ Occupational diseases
/ Occupational Diseases - epidemiology
/ Occupational Diseases - prevention & control
/ Occupational health
/ Population Surveillance - methods
/ Public Health
/ Questionnaires
/ Rank sum Ratio (RSR)
/ Surveys and Questionnaires
/ Technical support
/ Technique for order preference by similarity to an ideal solution (TOPSIS)
2025
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Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
Journal Article
Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
2025
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Overview
Background
When the health administration department re-assumed the responsibilities for occupational safety and health supervision and management in 2018, the Chinese government allocated special funds annually to the Centers for Disease Control and Prevention (CDCs) at all levels to enhance their capacity to monitor occupational diseases and hazardous factors. Thus, the CDCs’ technical support capacity for occupational disease surveillance and assessment (TSCODSA) has garnered increasing attention. Against this backdrop, we aimed to develop a comprehensive evaluation model to assess the CDCs’ TSCODSA, taking the municipal and county-level CDCs in Sichuan Province as an example.
Methods
In 2023, a survey was conducted on the municipal and county-level CDCs across 21 cities (including three autonomous prefectures) in Sichuan Province. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to evaluate the TSCODSA of these CDCs, combined with the Rank Sum Ratio (RSR) method for classification. The obstacle degree model was used to analyze the primary factors influencing their capacity.
Results
Among the 21 cities of Sichuan Province, only 4 cities (19.05%) had a “good” rating for the TSCODSA, while the remaining 17 cities (80.95%) were classified as either “medium” or “poor”. Cities with “good” ratings for the TSCODSA of CDCs were predominantly concentrated in the Chengdu Plain Economic Zone, while cities with “poor” ratings were mainly concentrated in the Northeast Sichuan Economic Zone. Obstacle degree analysis revealed that core capacity building and human resources constitute significant barriers impacting the capacity levels of CDCs across cities.
Conclusion
The overall TSCODSA level of CDCs in Sichuan Province is relatively low, with pronounced disparities in support capability across different economic zones, indicating imbalanced development. The evaluation system proposed in this study effectively reflects the level of TSCODSA of CDCs in various cities of Sichuan Province.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
/ Analytical hierarchy process approach(AHP)
/ Center for disease control and Prevention(CDC)
/ Cities
/ Criteria importance through the intercriteria Correlation(CRITIC)
/ Humans
/ Medicine
/ Occupational disease surveillance and assessment
/ Occupational Diseases - epidemiology
/ Occupational Diseases - prevention & control
/ Population Surveillance - methods
/ Technique for order preference by similarity to an ideal solution (TOPSIS)
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