Research on the visualization application of a multi-channel infectious disease monitoring and early warning information platform

Corresponding author: Guo qing, guoqing@chinacdc.cn

DOI: 10.12201/bmr.202604.00085

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  Abstract: Purpose/Significance To address issues such as limited data sources and delayed warnings in traditional infectious disease surveillance systems, this study explores the application of visualization technology in a multi-channel surveillance and early warning system, aiming to improve the efficiency of epidemic assessment and decision-making accuracy. Method/Process By integrating multi-source data, including disease reports, public health surveillance, automatic early warning signals, social perception data, and global epidemic information, a comprehensive platform was developed that covers data collection, processing, analysis, and visual presentation. Result/Conclusion The platform effectively integrates scattered surveillance data and provides dynamic presentation, contributing to improvements in epidemic assessment accuracy, enhanced early warning capabilities, and strengthened risk identification. Visualization technology serves as a critical tool for enhancing public health response capacity. Future efforts should focus on strengthening data governance, optimizing model, and improving cross-departmental collaboration mechanisms, thereby supporting the development of a precise, agile, and modern infectious disease prevention and control system.

  Key words: Infectious disease; Multi-channel surveillance; Visualization

  Submit time: 10 April 2026

  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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  1	2025-12-30	10.12201/bmr.202604.00085V1	Download

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