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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. 

Surveys of nearly 2,500 Americans, conducted during a measles outbreak, suggest that users of traditional media are less likely to be misinformed about vaccines than social media users. Results also suggest that an individual’s level of trust in medical experts affects the likelihood that a person’s beliefs about vaccination will change.