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Reliability and validity of a national intelligent infectious disease surveillance and early warning maturity questionnaire
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Qingliang LIU1, Qing GUO1, Gang LI2, Zixiong ZHAO1, Xuejie DU1, Jiaqi MA1
Chinese Journal of Public Health | 2025, 41(1) : 1 - 6
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Chinese Journal of Public Health | 2025, 41(1): 1-6
• Special Report – Public Health Informatization Development and Artificial Intelligence •
Reliability and validity of a national intelligent infectious disease surveillance and early warning maturity questionnaire
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Qingliang LIU1, Qing GUO1, Gang LI2, Zixiong ZHAO1, Xuejie DU1, Jiaqi MA1
Affiliations
  • 1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • 2Beijing Center for Disease Control and Prevention, Beijing 100013, China
Published: 2025-01-10 doi: 10.11847/zgggws1145580
Outline
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Objective

To evaluate the reliability and validity of a national questionnaire on the intelligent maturity of infectious disease surveillance and early warning.

Methods

A questionnaire was developed based on the intelligent maturity index system for infectious disease surveillance and early warning. Expert consultation was used to assess the content, items, and content validity of the questionnaire. A random sampling method was taken to select 700 county (district) CDCs in the Chinese mainland for a one-month questionnaire survey in mid-October 2023. Item analysis was performed with the critical ratio method. Reliability was evaluated using Cronbach′s α coefficient and Spearman-Brown coefficient. Validity was analyzed using confirmatory factor analysis and content validity index.

Results

In the item analysis, six items did not meet the standard: IT infrastructure construction, coverage of security measures such as cloud desktop and cloud terminal, adoption of national information standards for the informatization construction of infectious disease surveillance and early warning, ability to call national application programming interfaces (APIs) and use software development kits (SDKs) to achieve application integration, missed reporting rate of infectious diseases, and proportion of confirmed cases in the syndromic surveillance of infectious diseases. After comprehensive consideration, these items were retained. The reliability analysis showed that the total Cronbach′s α coefficient was 0.872. The Cronbach′s α coefficients for the three dimensions were 0.755 for intelligent strategy and foundation, 0.857 for intelligent business process and management, and 0.607 for intelligent effectiveness. The Spearman-Brown coefficient was 0.756. The validity analysis showed that the overall content validity index of the questionnaire was 0.985, and the content validity index of each item ranged from 0.820 to 1.000. The structural equation model constructed by confirmatory factor analysis fitted well after modification.

Conclusion

The national questionnaire on the intelligent maturity of infectious disease surveillance and early warning has good reliability and validity, and is suitable for evaluating the intelligent maturity of infectious disease surveillance and early warning on integrated regional platforms across provinces nationwide.

infectious disease surveillance and early warning  /  reliability  /  validity  /  confirmatory factor analysis
刘庆亮, 郭青, 李刚, 赵自雄, 杜雪杰, 马家奇. 全国传染病监测预警智慧化成熟度调查问卷信效度分析. 中国公共卫生, 2025 , 41 (1) : 1 -6 . DOI: 10.11847/zgggws1145580
Qingliang LIU, Qing GUO, Gang LI, Zixiong ZHAO, Xuejie DU, Jiaqi MA. Reliability and validity of a national intelligent infectious disease surveillance and early warning maturity questionnaire[J]. Chinese Journal of Public Health, 2025 , 41 (1) : 1 -6 . DOI: 10.11847/zgggws1145580
Year 2025 volume 41 Issue 1
103
44
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Article Info
doi: 10.11847/zgggws1145580
  • Receive Date:2024-07-13
  • Online Date:2026-10-25
  • Published:2025-01-10
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History
  • Received:2024-07-13
  • Revised:2024-09-02
  • Accepted:2024-12-30
Affiliations
    1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    2Beijing Center for Disease Control and Prevention, Beijing 100013, China

Corresponding:

MA Jiaqi, E-mail:
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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