Research progress on high-quality development of dietary nutrition and chronic disease big data

VernacularTitle:膳食营养与慢病大数据高质量发展的研究进展
Author: Jianqiang LAI ¹ ; Zhenyu YANG ; Ye WANG ; Haoyan GUO
Author Information

1. 中国疾病预防控制中心，北京　102206
Publication Type:Journal Article
Keywords: Chronic disease big data; Dietary nutrition; Data quality; Technical support
From: Chinese Journal of Preventive Medicine 2025;59(10):1624-1631
CountryChina
Language:Chinese
Abstract: This article delves into the importance and urgency of improving the quality of big data on dietary nutrition and chronic diseases within the disease control system. With the continuous rise in the incidence of chronic diseases, enhancing the quality of relevant data has become crucial in addressing public health challenges. The article proposes a series of concrete measures to improve the accuracy, completeness, and usability of the data, drawing on theoretical and technical support. By strengthening data collection, management, analysis, and application, the goal is to establish a high-quality big data system for dietary nutrition and chronic diseases. This will provide solid data support and scientific evidence for formulating targeted prevention and control strategies, supporting policy development, promoting scientific research innovation, and improving public health standards.