Jin Sabrina L, Kolis Jessica, Parker Jessica, Proctor Dylan A, Prybylski Dimitri, Wardle Claire, Abad Neetu, Brookmeyer Kathryn A, Voegeli Christopher, Chiou Howard
US Centers for Disease Control and Prevention, Atlanta, GA, USA.
US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lancet Infect Dis. 2024 Oct;24(10):e638-e646. doi: 10.1016/S1473-3099(24)00105-1. Epub 2024 Apr 20.
Recognition of misinformation as a public health threat and interest in infodemics, defined as an inundation of information accompanying an epidemic or acute health event, have increased worldwide. However, scientists have no consensus on how to best define and identify misinformation and other essential characteristics of infodemics. We conducted a narrative review of secondary historical sources to examine previous infodemics in relation to four infectious diseases associated with pandemics (ie, smallpox, cholera, 1918 influenza, and HIV) and challenge the assumption that misinformation is a new phenomenon associated with increased use of social media or with the COVID-19 pandemic. On the contrary, we found that the spread of health misinformation has always been a public health challenge that has necessitated innovative solutions from medical and public health communities. We suggest expanding beyond the narrow scope of addressing misinformation to manage information ecosystems, defined as how people consume, produce, interact with, and behave around information, which include factors such as trust, stigma, and scientific literacy. Although misinformation can spread on a global scale, this holistic approach advocates for community-level interventions that improve relationships and trust between medical or public health entities and local populations.
将错误信息视为一种公共卫生威胁以及对信息疫情(定义为伴随流行病或急性健康事件而来的信息泛滥)的关注在全球范围内都有所增加。然而,科学家们对于如何最好地定义和识别错误信息以及信息疫情的其他基本特征尚未达成共识。我们对二手历史资料进行了叙述性综述,以研究与大流行相关的四种传染病(即天花、霍乱、1918年流感和艾滋病毒)的过往信息疫情,并质疑错误信息是与社交媒体使用增加或与新冠疫情相关的新现象这一假设。相反,我们发现健康错误信息的传播一直都是一项公共卫生挑战,需要医学和公共卫生界拿出创新解决方案。我们建议超越处理错误信息的狭隘范畴,转而管理信息生态系统,信息生态系统的定义是人们如何消费、生产、与信息互动以及围绕信息表现行为,其中包括信任、污名和科学素养等因素。尽管错误信息可能在全球范围内传播,但这种整体方法提倡采取社区层面的干预措施,以改善医疗或公共卫生实体与当地居民之间的关系和信任。