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This paper discusses patterns of public health misinformation observed during infectious disease epidemics. Specifically, we group epidemic-related misinformation into four categories: transmission, prevention, treatment, and vaccination. By developing tools, algorithms, and other resources around these categories, institutions, companies, and individuals can proactively limit and counter the spread of misinformation and its potential negative health effects. 

A content analysis of popular videos on YouTube containing tobacco-relevant material revealed five categories of misleading content about tobacco use in 2013. A re-examination in 2019 of the most heavily viewed exemplars of these categories identified in 2013 revealed a striking increase in viewership in all categories but especially in the portrayal and promotion of vaping.