Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Infectious disease symptom monitoring and early warning method and system based on big data

An infectious disease, big data technology, applied in the field of infectious disease symptom monitoring and early warning, can solve problems such as immature theory and technology

Inactive Publication Date: 2021-12-28
NANJING HANWEI PUBLIC HEALTH RES INST CO LTD
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Infectious disease symptom monitoring and early warning method and system based on big data
  • Infectious disease symptom monitoring and early warning method and system based on big data
  • Infectious disease symptom monitoring and early warning method and system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0038] Such as figure 1 As shown, the embodiment of the present application provides a method for monitoring and early warning of infectious disease symptoms based on big data. The method includes the following steps:

[0039] Step 1: Select the early warning locations that need to be monitored, and determine the diseases that need early warning in the early warning locations;

[0040] Step 2: collect the disease information in the early warning location, and process different disease information, when it is determined that there is an epidemic event in the early warning location, send the early warning conditions to the server for processing;

[0041]Step 3: The server further judges whether to warn according to the pre-set warning conditions and the warning threshold. When the first warning is completed, the server will return two sets of warning results, and return the data information that needs to be displayed on the map to the client The browser loads the map.

[0042]...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention provides an infectious disease symptom monitoring and early warning method and system based on big data, and the method comprises the following steps that an early warning place which needs to be monitored is selected, and the disease type which needs to be early warned in the early warning place is determined; disease information in the early warning site is collected, different disease information is processed, and when it is determined that an epidemic situation event occurs in the early warning site, an early warning condition is sent to a server for processing; and a server further judges whether early warning is carried out or not according to a preset early warning condition and an early warning threshold value, and after the early warning for the first time is completed, the server returns two groups of early warning results and returns data information needing to be displayed on the map to the client browser to load the map. According to the embodiment of the invention, the disease distribution information can be visually displayed on a map, the possible spreading range of pathogens can be determined, and the geographical condition and the crowd condition of the epidemic situation of infectious diseases and the spreading condition of the epidemic situation can be well comprehensively analyzed.

Description

technical field [0001] Each embodiment of the present application belongs to the technical field of infectious disease symptom monitoring and early warning, and in particular relates to a method and system for infectious disease symptom monitoring and early warning based on big data. 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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80
CPCG16H50/80
Inventor 闫艳夏存兴
Owner NANJING HANWEI PUBLIC HEALTH RES INST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products