[Establishment and application of infectious disease monitoring, early warning and disposal system].

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan's health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

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Publication Details

Journal
PubMed
Published
2024-10-06
DOI
https://doi.org/10.3760/cma.j.cn112150-20231206-00407
Citations
1
Primary Topic
Data-Driven Disease Surveillance
Type
article
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article

[Establishment and application of infectious disease monitoring, early warning and disposal system].

Hongyun Jia, Chen Wang, D. J. Bagyaraj, J N Zhang et al.
1 citations
PubMed
Data-Driven Disease Surveillance
article

[Establishment and application of infectious disease monitoring, early warning and disposal system].

Hongyun Jia, Chen Wang, D. J. Bagyaraj, J N Zhang, Yiming Qiu, Yanni Wei, Jianfei Lu, Jingyu Zhao, Longyang Jiang
article en
1 citations

Abstract

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan's health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

PubMedVol. 58(10)
Hangzhou Center for Disease Control and Prevention (CN), The First People's Hospital of Xiaoshan District, Hangzhou (CN), Hangzhou Medical College (CN)
Data-Driven Disease Surveillance
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[Establishment and application of infectious disease monitoring, early warning and disposal system]. — Hongyun Jia, Chen Wang, et al. · PubMed (2024) | TGRS Research Map | TGRS