论文标题
COVID-19和科学传播：疾病死亡率的记录和报告
COVID-19 and Science Communication: The Recording and Reporting of Disease Mortality
论文作者
论文摘要
持续的共同19-19大流行使科学成为了公众讨论的范围，并考虑了所涉及的问题的复杂性，这也带来了有效且内容丰富的科学沟通的挑战。一个特别有争议的话题，它本身就是高度情绪化的，也是它坐落在有关处理大流行的决策过程的联系，这已经影响了锁定，社交行为指标，业务封闭等，涉及疾病死亡的记录和报告。为了阐明在公开辩论中引起了很多争议和愤怒的观点，本文的第一部分讨论了关于死亡率的原因归因问题的基本原理，奠定了死亡率估算的基础，并通过分析录音和报告实践在England和他们的报道惯例中融合了这些统计学估计，并弄清楚了他们的录音和报告实践。本文的第二部分本质上是经验的。我介绍了对英国和美国主流媒体中如何报道Covid-19死亡率的分析，包括两国以及不同媒体媒体的比较分析。这些发现清楚地表明，两国媒体对媒体的相关技术主题缺乏统一和令人担忧的理解。特别令人感兴趣的是，发现具有显着的规律性（$ρ> 0.998 $），媒体媒体上发表的有关Covid-19死亡率的文章数量越大，其文章的\ emph {extebalials}越大，其疾病的死亡率却歪曲了。
The ongoing COVID-19 pandemic has brought science to the fore of the public discourse and considering the complexity of the issues involved, with it also the challenge of effective and informative science communication. A particularly contentious topic, in that it is both highly emotional in and of itself, as well as in that it sits at the nexus of the decision-making process regarding the handling of the pandemic, which has effected lockdowns, social behaviour measures, business closures, and others, concerns the recording and the reporting of the disease mortality. To clarify a point which has caused much controversy and anger in the public debate, the first part of the present article discusses the very fundamentals underlying the issue of causative attribution with regards to mortality, lays out the foundations of the statistical means of mortality estimation, and concretizes these by analysing the recording and reporting practices adopted in England, and their widespread misrepresentations. The second part of the article is empirical in nature. I present data and an analysis of how COVID-19 mortality has been reported in the mainstream media in the UK and the USA, including a comparative analysis both across the two countries as well as across different media outlets. The findings clearly demonstrate a uniform and worrying lack of understanding of the relevant technical subject matter by the media in both countries. Of particular interest is the finding that with a remarkable regularity ($ρ>0.998$) the greater the number of articles a media outlet published on COVID-19 mortality, the greater the \emph{proportion} of its articles misrepresented the disease mortality figures.
