Information practices in data analytics for supporting public health surveillance

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Dan Zhang, Loo G. Pee, Shan L. Pan, Jingyuan Wang
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引用次数: 0

Abstract

Public health surveillance based on data analytics plays a crucial role in detecting and responding to public health crises, such as infectious disease outbreaks. Previous information science research on the topic has focused on developing analytical algorithms and visualization tools. This study seeks to extend the research by investigating information practices in data analytics for public health surveillance. Through a case study of how data analytics was conducted for surveilling Influenza A and COVID-19 outbreaks, both exploration information practices (i.e., probing, synthesizing, exchanging) and exploitation information practices (i.e., scavenging, adapting, outreaching) were identified and detailed. These findings enrich our empirical understanding of how data analytics can be implemented to support public health surveillance.

支持公共卫生监测的数据分析中的信息实践
基于数据分析的公共卫生监测在发现和应对传染病爆发等公共卫生危机方面发挥着至关重要的作用。以前关于该主题的信息科学研究主要集中在开发分析算法和可视化工具上。本研究旨在通过调查公共卫生监测数据分析中的信息实践来扩展研究。通过对甲型流感和COVID-19疫情监测数据分析的案例研究,确定并详细说明了探索性信息实践(即探测、综合、交换)和利用性信息实践(即清除、适应、外展)。这些发现丰富了我们对如何实施数据分析以支持公共卫生监测的经验理解。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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