T/ZSA 22.3-2020 Active Group standards

T/ZSA 22.3-2020 Epidemic Prevention and Control Population Big Data Platform Part 3: Service Standards

T/ZSA 22.3-2020

Publish Date: 2020-12-18 Implement Date: 2020-12-19 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/ZSA 22.3-2020
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Electronic components and information technology
ICS Name: The application of information technology in other fields
Publish Date: 2020-12-18
Implement Date: 2020-12-19

Scope

Scope: This part specifies the external service requirements, application service requirements, and verification methods for the epidemic prevention and control population big data platform. This part applies to information services for population big data collected, processed, and processed from various data sources during the epidemic prevention and control period; Main technical content: According to the needs of epidemic prevention and control, by making full use of modern information technology, network technology, and computer technology to collect, process, and process various data sources, it is possible to apply population big data in epidemic prevention and control management, epidemic risk analysis, and community epidemic prevention services. In order to make the "Epidemic Prevention and Control Population Big Data Platform" more scientific, reasonable, accurate, and standardized, the China Zhongguancun Standardization Association organized the development of the "Epidemic Prevention and Control Population Big Data Platform" standard. This standard consists of three parts. This part is "Part 3: Service Specifications". This part serves as a service specification standard for big data platforms in the context of the epidemic, and is mainly applied to related epidemic scenarios such as crowd reflux and migration monitoring, regional personnel gathering early warning, regional personnel grid management, crowd registration management, and high-risk personnel identification. From the outset of its design, it meets the actual needs of epidemic prevention and control work. By effectively identifying regional personnel, it forms a comprehensive prevention and control service platform standard covering trend analysis, information collection, and information dissemination. It also uses various big data methods to present epidemic information in a timely manner, providing decision-making reference for governments and all walks of life, assisting in the scientific pr

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