GA 407.1-2003
Active
T/ZSA 22.1-2020
Abolished
Group standards
T/ZSA 22.1-2020 Health and epidemic prevention big data platform Part 1: Technical specification
T/ZSA 22.1-2020 Health and epidemic prevention big data platform Part 1: Technical specification
Price:
$ 20.00
Basic Information
Standard Code:
T/ZSA 22.1-2020
Standard Type:
Group standards
Standard Status:
Abolished
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 overall architecture of the population big data platform for epidemic prevention and control, the requirements for basic data collection, data processing, data storage, and the verification methods for the above requirements. This part applies to population big data applications involving the collection, processing, and storage of various data sources during the epidemic prevention and control period. Main technical content: Based on the needs of epidemic prevention and control, by fully utilizing modern information technology, network technology, and computer technology to collect, process, and process various data sources, it makes possible the application of 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 1: Technical Specifications". This part serves as a technical specification standard for big data platforms in the context of the epidemic, and is mainly applied to epidemic scenarios such as population return and migration monitoring, regional crowd gathering early warning, regional grid management of personnel, population registration management, and identification of high-risk individuals. 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 technology 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 decisi
Development Information
Same series standard
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