Keywords
Monitoring ability evaluation index system
Delphi method
Analytic hierarchy process
Submitted : 2024-06-11
Accepted : 2024-06-26
Published : 2024-07-11
Abstract
Objective: To construct a monitoring ability evaluation indicator system for emerging infectious diseases. Methods: This study adopted two rounds of expert consultation among 11 senior public health professionals using the Delphi method and the analytic hierarchy process (AHP) to determine the indicators and their weight coefficients. Results: The experts were aged 45.18 ± 8.44 years and had worked for 20.45 ± 9.97 years. All had a bachelor’s degree or above. The expert active coefficients for both rounds of consultation were 100%. The coefficient of expert authority was 0.861, and the coefficient of expert coordination was 0.4 for the first and second rounds of consultation (P < 0.01). After two rounds of expert consultation, the constructed monitoring ability evaluation indicator system consisted of 5 first-level indicators, 17 second-level indicators, and 45 third-level indicators. The five first-level indicators were epidemic discovery ability, epidemic report ability, laboratory testing ability, monitoring system operation guarantee, and comprehensive personnel ability. The top five secondary indicators were timely identification of infected persons, epidemic report time, timely laboratory testing, normalized monitoring ability, and funding. The maximum eigenvector (λmax) was 5.069, the consistency index (CI) was 0.017, the consistency ratio (CR) was 0.016, and CR < 0.1. Conclusion: The evaluation index system for monitoring the capability of emerging infectious diseases has scientific validity and rationality, and it can be used to evaluate the monitoring capability of emerging infectious diseases.
References
Han JJ, Song HA, Pierson SL, et al., 2023, Emerging Infectious Diseases are Virulent Viruses — Are We Prepared? An Overview. Microorganisms, 11(11): 2618.
Huang FHH, Du ZY, Hu Z, et al., 2023, Analysis of Factors Affecting the Prevention and Control Capabilities of Emerging Infectious Diseases in Heilongjiang Province. Medicine and Society, 36(8): 34–37 + 54.
Jiao F, Dong PY, Liu XQ, et al., 2018, Overview of Infectious Disease Early Warning Methods and Applications. Chinese Journal of Social Medicine, 35(4): 340–343.
Yu QS, Dai YX, Long L, et al., 2023, Research Progress on Infectious Disease Surveillance Systems and Early Warning Methods. Journal of Preventive Medicine Intelligence, 39(8): 1013–1018.
Wang YN, Dong K, Li JT, 2022, Construction of an Evaluation Index System for the Medical Quality of Ophthalmic Day Surgery Based on the Delphi Method and Analytic Hierarchy Process. Chinese Journal of Health Quality Management, 29(8): 28–32.
Luo JS, Zhang G, Su YW, et al., 2022, Quantitative Analysis of Heart Rate Variability Parameter and Mental Stress Index. Frontiers in Cardiovascular Medicine, 2022(9): 930745.
Li HM, Liu JS, Wang XH, et al., 2022, Comprehensive Monitoring and Early Warning System for Emerging Infectious Diseases Based on the Concept of Whole Health: Structure and Innovation. Chinese Journal of Parasitology and Parasitic Diseases, 40(5): 572–578.
Cheng YP, Zhang Z, Shu YL, et al., 2023, Expert Consensus on Constructing a Comprehensive Surveillance System for Key Infectious Diseases Based on the Concept of “One Health”. Electronic Journal of Emerging Infectious Diseases, 8(4): 69–79 + 2.
Chen WL, Dong LJ, Wang JW, et al., 2021, Introduction to Japan’s Infectious Disease Surveillance System. Chinese Public Health, 37(10): 1473–1477.
Zhu M, Gong L, Song D, et al., 2018, Application of the Delphi Method to Construct Early Warning Indicator System for Influenza and Novel Influenza Outbreaks. Journal of Anhui Medical University, 53(9): 1403–1406.
Xu L, Li XY, 2023, Analysis of the Changes in the Reported Incidence of Legal Infectious Diseases in Shangcheng District, Hangzhou, from 2020 to 2021. Practical Preventive Medicine, 30(4): 439–443.
Babble ER, 2010, The Practice of Social Research (12th Edition). Wadsworth Publishing, Belmont.
Guo YL, Li X, Chen DB, et al., 2022, Evaluation Study on the Use of Non-Contact Prevention and Protection Products in the Context of COVID-19: A Comprehensive Evaluation Method from AHP and Entropy Weight Method. International Journal of Environmental Research and Public Health, 19(24): 16857.
Zhang J, Liu H, 2016, Strategies for Early Detection and Identification of Emerging Infectious Diseases in China. Anhui Journal of Preventive Medicine, 22(2): 121–123 + 126.
Ge H, 2023, Research on Selecting Key Technologies for Developing Medical Response Products for Major Emerging Infectious Diseases, thesis, Academy of Military Sciences.
Yang P, Yang K, Wang XL, et al., 2023, Analysis of Influencing Factors of COVID-19 Infection Cases Based on Quasi-Poisson Regression. Practical Preventive Medicine, 30(6): 673–677.
Huai PC, Ma YP, Zhang ZS, et al., 2022, Tracking of Secondary Close Contacts of COVID-19 Close Contacts: A Report from a Coronavirus Nucleic Acid Testing Point in Jinan City. Chinese Journal of Leprosy and Skin Diseases, 38(11): 767–768.
Gao Yuan, 2023, Epidemiological Investigation, Molecular Biology Research, and Clinical Characteristics Analysis of New Tick-Borne Infectious Diseases in Liaoning Province, thesis, China Medical University.
Wang QQ, 2021, Application Effect of Epidemic Monitoring in Preventing and Controlling Major Infectious Diseases. Chinese Contemporary Medicine, 28(1): 56–58 + 62.
Yu BR, Xu Q, Liu Z, et al., 2017, A Methodological Study on the Economic Burden of Emerging Infectious Diseases. Health Economics Research, 2017(7): 25–29.