Strategies and Application Practices for Building an Integrated and Intelligent Public Health Big Data Platform

Corresponding author: jiang zhen, zhjiang@cdc.zj.cn

DOI: 10.12201/bmr.202505.00032

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  Abstract: Abstract Objective/Significance An integrated and intelligent public health big data platform is constructed to support infectious disease monitoring and early warning, public health decision-making, and epidemic prevention and control. Methods/Process Key technologies such as OneID, tag systems, and intelligent models are utilized to build an integrated and intelligent public health big data platform, which is then applied in practice. Results/Conclusion The integrated and intelligent public health big data platform effectively supports the cross-departmental collection and governance of disease control data. Data quality and sharing efficiency are enhanced, providing support for promoting the digital transformation of public health and accelerating the modernization of disease control.

  Key words: Public health big data; integrated; Intelligentization; data sharing

  Submit time: 21 May 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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