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Design of a Joint Microservices-based Smart Epidemic Prevention Platform
2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1788704
ABSTRACT
Currently, as COVID-19 spreads around the world, epidemic prevention departments from different provinces and regions often need to carry out cross-regional cooperation. In the paper, some new office platforms based on some office needs of the joint prevention and control work are tried to build. In the paper, the platforms built is capable of visualizing the risk map of regional risks, covering a multi-segment integrated joint prevention and control collaborative business platform system of the CDC, customs, relevant medical institutions and health tracking management departments. For the staff in each business link, they can access the data of cases, close contacts and key health tracking objects through the platform. Based on the work, it's necessary to print relevant certificates online, and at the same time, they also supplement the business data of the link to the data chain, providing better information services for improving the efficiency of joint prevention and control. In the process of making an analysis of the business needs, it is found that when building the platform, it will face problems such as many functional modules, variable demand, and too large amount of concurrency at a certain time. In the paper, the implemented architecture techniques would be explained, the details of the key technology implementation adopted by micro-services in realizing the platform would be clarified, and the significance of the platform to the epidemic prevention work would be finally discussed. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 Year: 2021 Document Type: Article