Suppr超能文献

流感移动监测系统:利用手机对医护人员的急性呼吸道感染进行监测

FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers Mobile Phones.

作者信息

Lwin May Oo, Yung Chee Fu, Yap Peiling, Jayasundar Karthikayen, Sheldenkar Anita, Subasinghe Kosala, Foo Schubert, Jayasinghe Udeepa Gayantha, Xu Huarong, Chai Siaw Ching, Kurlye Ashwin, Chen Jie, Ang Brenda Sze Peng

机构信息

Wee Kim Wee School of Communication and Information, Nanyang Technological University (NTU) , Singapore , Singapore.

KK Women's and Children's Hospital (KKH) , Singapore , Singapore.

出版信息

Front Public Health. 2017 Mar 17;5:49. doi: 10.3389/fpubh.2017.00049. eCollection 2017.

Abstract

Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore's pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones. The system, integrating a fully responsive web-based interface and a mobile interface, is made available to HCW using various types of mobile devices and web browsers. Real-time data generated from FluMob will be complementary to current health-care- and laboratory-based systems. This paper describes the development of FluMob, as well as challenges faced in the creation of the system.

摘要

新加坡是新兴传染病的热点地区,作为东南亚主要的旅游和健康中心,面临着大流行病爆发的持续风险。随着智能手机在该地区的普及率不断提高,新加坡的大流行防范框架可以通过采用基于移动设备的健康监测和控制方法,并通过弥补差距(如缺乏健康沟通)来改进现有理念而得到加强。FluMob是一个数字集成的症状监测系统,旨在通过允许新加坡的医护人员使用智能手机报告流感发病率,协助卫生当局从医护人员那里获取实时流行病学和监测数据。该系统集成了一个完全响应式的基于网络的界面和一个移动界面,可供使用各种类型移动设备和网络浏览器的医护人员使用。FluMob生成的实时数据将补充当前基于医疗保健和实验室的系统。本文描述了FluMob的开发情况以及创建该系统所面临的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b728/5355489/6889cdf6e5b9/fpubh-05-00049-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验