@Article{信息:doi 10.2196 / / jmir。1658，作者="Cheng, Calvin KY and Ip, Dennis KM and Cowling, Benjamin J and Ho, Lai Ming and Leung, Gabriel M and Lau, Eric HY"，标题="以流感监测为例，基于多数据流的疾病监测数字仪表盘设计"，期刊="J Med Internet Res"，年="2011"，月="Oct"，日="14"，卷="13"，数="4"，页="e85"，关键词="Dashboard;传播;监测;背景:在探索和利用新的和不同的疾病监测数据来源以及开发用于分析所收集数据的可靠统计方法方面取得了巨大进展。然而，在传播领域的研究较少。监测数据的适当传播可以促进最终用户采取适当的行动，从而最大限度地利用从监视到行动循环上游所做的努力。目的:这项研究的目的是为数字仪表板开发一个通用框架，并结合有效仪表板设计的特点，并通过在香港流感监测中的具体应用来演示该框架。方法:根据国家网站的优点和高效仪表板设计原则，设计了流感监测自动化数字仪表板，演示了监测数据的高效传播。我们开发了这个系统来综合和显示仪表板上流感监测数据流的多个来源。 Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. Results: We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. Conclusions: The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public health actions. ", issn="1438-8871", doi="10.2196/jmir.1658", url="//www.mybigtv.com/2011/4/e85/", url="https://doi.org/10.2196/jmir.1658", url="http://www.ncbi.nlm.nih.gov/pubmed/22001082" }