What is infodemiology? An overview and its role in public health.

Q3 Medicine
Przeglad epidemiologiczny Pub Date : 2024-06-07 Epub Date: 2024-04-30 DOI:10.32394/pe/188119
Krzysztof Bartosz Klimiuk, Łukasz Władysław Balwicki
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引用次数: 0

Abstract

The exponential increase in internet use and the consequent surge in data generation present both opportunities and challenges for public health. Infodemiology, an emerging field at the intersection of information science and public health, seeks to harness the vast amounts of health-related data generated online for public health benefits. This paper provides a comprehensive overview of infodemiology, examining its development, methodologies, and potential to address public health challenges. We discuss the role of infodemiology in identifying and mitigating the spread of misinformation, especially in the context of the COVID-19 pandemic, which underscored the dangers of the "infodemic" - an overabundance of information, both accurate and not, that complicates public health responses. Through both demand and supply-based studies, infodemiology offers unique insights into health trends, misinformation dynamics, and the digital behaviors of health information seekers. Tools such as sentiment analysis are highlighted as essential in navigating the vast digital landscape for real-time health data analysis. Despite the potential of infodemiology, challenges such as data overload or misinformation. The paper concludes by emphasizing the importance of interdisciplinary collaboration, the development of advanced analytical tools, and the need for guidelines to maximize the field's impact on public health policy and practice.

什么是信息病理学?概述及其在公共卫生中的作用。
互联网使用的指数级增长以及随之而来的数据生成量激增,为公共卫生带来了机遇和挑战。信息数据学是信息科学与公共卫生交叉领域的一个新兴学科,旨在利用网上产生的大量健康相关数据为公共卫生服务。本文全面概述了信息数据学,探讨了其发展、方法和应对公共卫生挑战的潜力。我们讨论了信息流行病学在识别和减少错误信息传播方面的作用,尤其是在 COVID-19 大流行的背景下,这凸显了 "信息流行病 "的危险性--过量的信息,无论准确与否,都会使公共卫生应对措施复杂化。通过基于需求和供给的研究,信息流行病学对健康趋势、错误信息动态以及健康信息寻求者的数字行为提供了独特的见解。情感分析等工具在浏览庞大的数字景观、进行实时健康数据分析方面至关重要。尽管信息数据学潜力巨大,但仍存在数据超载或错误信息等挑战。论文最后强调了跨学科合作、开发先进分析工具的重要性,以及制定指导方针以最大限度地发挥该领域对公共卫生政策和实践的影响的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Przeglad epidemiologiczny
Przeglad epidemiologiczny Medicine-Medicine (all)
CiteScore
1.10
自引率
0.00%
发文量
64
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