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Surveillance and early warning method of infectious disease symptoms based on multi-source data in large-scale events

A multi-source data, infectious disease technology, applied in the field of symptom monitoring, can solve problems such as immature theory and technology, and achieve the effect of improving sensitivity, realizing early warning and response

Active Publication Date: 2016-03-23
SHANGHAI PUDONG NEW AREA CENT FOR DISEASE CONTROL & PREVENTION
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AI Technical Summary

Problems solved by technology

Although symptom monitoring is being used more and more, the related theories and technologies are far from mature and are still in the stage of exploration and development

Method used

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  • Surveillance and early warning method of infectious disease symptoms based on multi-source data in large-scale events
  • Surveillance and early warning method of infectious disease symptoms based on multi-source data in large-scale events
  • Surveillance and early warning method of infectious disease symptoms based on multi-source data in large-scale events

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Embodiment Construction

[0034] The invention relates to a method for monitoring and early warning of infectious disease symptoms of multi-source data in large-scale activities. By setting up a system of data collection, reporting, analysis, and early warning based on symptom monitoring, it is especially suitable for large-scale activities during a large-scale activity. In a large geographical area, it is used to monitor the epidemic status of infectious diseases in the early stages of public health emergencies.

[0035] Such as figure 1 As shown, the method of the present invention has established a symptom monitoring network of multiple data sources in multi-source data in large-scale activities, and selected some representative medical institutions, schools, childcare institutions, pharmacies, hotels, etc. as monitoring points , respectively monitor and collect data on the corresponding target syndrome and other indicators, and then run the early warning model on the collected data to give analysis...

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Abstract

The invention relates to a multi-source communicable disease symptom monitoring and early-warning method in a large-scale activity. The method comprises the steps: through building of a symptom monitoring network with various data sources such as medical institutions, schools, kindergartens, nurseries, drugstores and hotels in the large-scale activity, carrying out monitoring and data collection on corresponding indexes such as a target symptom group, and then giving out an analysis and early-warning result through operation of an early-warning model on the collected data. The invention provides a symptom monitoring and automatic early-warning system in the large-scale activity. The system can find possible new and emergent communicable disease outbreak events in time and effectively, gain time for adopting effective communicable disease controlling measurements, ensure public health security in the period of the large-scale activity, and provide a technical example for sanitary security protection of large-scale crowd gathering activities in china in the future.

Description

technical field [0001] The invention relates to the field of symptom monitoring, in particular to a method for monitoring and early warning of infectious disease symptoms based on multi-source data in large-scale activities. Background technique [0002] As the social and natural environment changes, the pathogens, transmission routes, onset characteristics and influencing factors of infectious diseases have also undergone great changes. How to identify public health emergencies of infectious diseases early, issue early warnings, and take corresponding controls as soon as possible Measures to minimize the losses caused by public health emergencies have been the focus of attention in the field of public health for a long time, and are also an important part of health emergency work. The early warning of public health emergencies is to monitor, identify, diagnose and evaluate the signs of events through the collection, sorting, analysis and integration of relevant data, using ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCY02A90/10
Inventor 孙乔杨维中兰亚佳王劲峰李中杰刘继增傅益飞赖圣杰朱渭萍张洪龙
Owner SHANGHAI PUDONG NEW AREA CENT FOR DISEASE CONTROL & PREVENTION
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