Li Tiantong, Hu Xiao, Li Li, Liu Yuhe, He Menglu, Huang Conghui, Zhou Xuefei, Sun Jing
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Ronghua Community Healthcare Center, Beijing 100176, China.
Wei Sheng Yan Jiu. 2023 May;52(3):412-417. doi: 10.19813/j.cnki.weishengyanjiu.2023.03.013.
To establish a set of visualization systems suitable for displaying the transition of malnutrition status in different population across time and space in China.
Based on the data characteristics of the four monitoring systems, including the China Nutrition and Health Surveillance, the China Health and Nutrition Survey, the Project of Children Nutrition Improvement in Poor Rural Regions, and the Nutrition Improvement Program for Rural Compulsory Education Students, to be merged and the requirements of this project, the client/server architecture(C/S architecture) application mode was adopted, the Visual Studio 2019 development tool set, Python 3.7-10 and C # 8.0 language programming were used for data integration, and a complete set of data preprocessing, data conversion and data integration calculation processes were established.
The malnutrition visualization system provided a visualization display system for the nutritional status of different populations under the multi database fusion index system based on the integrated malnutrition database. The system was able to not only modify, delete and update data, but query, display and analyze malnutrition conditions including growth retardation, low weight, emaciation, micronutrient deficiency, overweight, and obesity.
Malnutrition visualization system dynamically presented the time series and spatial distribution of malnutrition among Chinese residents, and explored the regional characteristics and major challenges of nutrition problems in different periods.
建立一套适用于展示中国不同人群营养不良状况在时间和空间上变化的可视化系统。
基于中国营养与健康监测、中国健康与营养调查、贫困农村地区儿童营养改善项目、农村义务教育学生营养改善计划这四个待合并监测系统的数据特征及本项目需求，采用客户端/服务器架构（C/S架构）应用模式，运用Visual Studio 2019开发工具集、Python 3.7 - 10和C# 8.0语言编程进行数据整合，并建立了一套完整的数据预处理、数据转换和数据整合计算流程。
营养不良可视化系统基于整合后的营养不良数据库，在多数据库融合指标体系下为不同人群的营养状况提供了可视化展示系统。该系统不仅能够对数据进行修改、删除和更新，还能对包括生长迟缓、低体重、消瘦、微量营养素缺乏、超重和肥胖等营养不良状况进行查询、展示和分析。
营养不良可视化系统动态呈现了中国居民营养不良的时间序列和空间分布情况，探究了不同时期营养问题的区域特征和主要挑战。
