Study on early surveillance and warning of public health emergencies of infectious diseases in Shenzhen from 2004 to 2022: Based on data analysis of two management systems

doi:10.19871/j.cnki.xfcrbzz.2025.01.001

Abstract

Abstract: Objective To compare the data of public health emergencies of infectious diseases reported in Shenzhen's "Public Health Emergency Reporting and Management System" and "Shenzhen Disease Control Information Management System" from 2004 to 2022, focus on the analysis of the early monitoring and warning effect of improving the reporting standard of "Shenzhen Disease Control Information Management System" on infectious disease outbreaks in Shenzhen. Method The epidemic data of infectious diseases reported in the "Public Health Emergency Reporting and Management System" and "Shenzhen Disease Control Information Management System" of Shenzhen City from 2004 to 2022 were collected, and comparative analysis of epidemic data between the two systems in terms of disease types, number of cases, spatiotemporal dimensions, etc. Result The number of events reported by "Shenzhen Disease Control Information Management System" was significantly higher than that reported by "Public Health Emergency Reporting and Management System" in Shenzhen from 2004 to 2022. Spearman correlation analysis showed that the number of reported events was positively correlated between the two systems (R_s=0.626, P<0.01). The results of Joinpoint regression analysis showed that the ratio of reported events between the two systems showed an increasing trend with statistical significance (APC=6.10, P=0.016), "Shenzhen Disease Control Information Management System" showing a greater increase. Mann-Whitney U test showed that the average duration of events reported by "Public health Emergency reporting and management system" and "Shenzhen Disease Control Information Management System" was statistically different (Z=-2.91, P<0.01). The average duration of each incident of the "Public health Emergency reporting and management system" was longer than that of the "Shenzhen Disease Control Information Management System". Conclusion Relying on the "Shenzhen Disease Control Information Management System" to improve the reporting standards of infectious disease public health emergencies is of great significance to the early warning of the "seedling" of the epidemic outbreak in Shenzhen.

Key words: Infectious diseases, Public health emergencies, Early warning, Public health emergency reporting and management system, Shenzhen disease control information management system

CLC Number:

R183

Zhang Yingluan, Wen Ying, Xiong Huawei, Wan Jia, Li Yuan, Gao Shitong, Tang Xiujuan, Lu Yan, Chen Zhigao, Kong Dongfeng, Lyu Qiuying, Zhang Zhen. Study on early surveillance and warning of public health emergencies of infectious diseases in Shenzhen from 2004 to 2022: Based on data analysis of two management systems[J]. Electronic Journal of Emerging Infectious Diseases, 2025, 10(1): 1-7.

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