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目击者传感器在大规模伤亡事件和疫情爆发中的意义。

The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks.

作者信息

Pan Chih-Long, Lin Chih-Hao, Lin Yan-Ren, Wen Hsin-Yu, Wen Jet-Chau

机构信息

Research Center for Soil & Water Resources and Natural Disaster Prevention, National Yunlin University of Science & Technology, Douliou, Taiwan.

Department of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

出版信息

J Med Internet Res. 2018 Feb 2;20(2):e39. doi: 10.2196/jmir.8249.

DOI:10.2196/jmir.8249
PMID:29396388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5816259/
Abstract

Due to the increasing number of natural and man-made disasters, mass casualty incidents occur more often than ever before. As a result, health care providers need to adapt in order to cope with the overwhelming patient surge. To ensure quality and safety in health care, accurate information in pandemic disease control, death reduction, and health quality promotion should be highlighted. However, obtaining precise information in real time is an enormous challenge to all researchers of the field. In this paper, innovative strategies are presented to develop a sound information network using the concept of "witness sensors." To overcome the reliability and quality limitations of information obtained through social media, researchers must focus on developing solutions that secure the authenticity of social media messages, especially for matters related to health. To address this challenge, we introduce a novel concept based on the two elements of "witness" and "sensor." Witness sensors can be key players designated to minimize limitations to quality of information and to distinguish fact from fiction during critical events. In order to enhance health communication practices and deliver valid information to end users, the education and management of witness sensors should be further investigated, especially for implementation during mass casualty incidents and epidemic outbreaks.

摘要

由于自然和人为灾害数量不断增加,大规模伤亡事件比以往任何时候都更频繁地发生。因此,医疗保健提供者需要做出调整,以应对大量患者涌入的情况。为确保医疗保健的质量和安全,应突出大流行疾病控制、减少死亡和促进健康质量方面的准确信息。然而,实时获取精确信息对该领域的所有研究人员来说都是一项巨大的挑战。本文提出了创新策略,利用“见证传感器”的概念来建立一个完善的信息网络。为克服通过社交媒体获取的信息在可靠性和质量方面的局限性,研究人员必须专注于开发能够确保社交媒体信息真实性的解决方案,尤其是与健康相关的事项。为应对这一挑战,我们引入了一个基于“见证”和“传感器”这两个要素的新概念。见证传感器可以成为关键角色,被指定用于在关键事件中尽量减少信息质量的限制,并区分事实与虚构。为加强健康传播实践并向终端用户提供有效信息,应进一步研究见证传感器的教育和管理,特别是在大规模伤亡事件和疫情爆发期间的实施情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8153/5816259/b408c7fdd2a7/jmir_v20i2e39_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8153/5816259/b408c7fdd2a7/jmir_v20i2e39_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8153/5816259/b408c7fdd2a7/jmir_v20i2e39_fig1.jpg

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