Researchers at the University of Waterloo in Canada found analyzing trends on Twitter and Google helped predict vaccine scares.
The researchers used artificial intelligence (AI) and a mathematical model to analyze Google searchers and geocoded tweets, producing data that described the public perceptions of the value of getting vaccinated and indicating when a population was approaching a tipping point.
"By monitoring people's attitudes towards vaccinations on social media, public health organizations may have the opportunity to direct their resources to areas most likely to experience a population-wide vaccine scare, and prevent it before it starts," says University of Waterloo professor Chris Bauch.
The researchers focused on tweets mentioning the measles-mumps-rubella vaccine and classified their sentiment using AI software.
The researchers also collected data on measles-related Google searches, and the mathematical model predicted how the 2014-2015 Disneyland outbreak helped push California back from the tipping point by making residents more afraid of the disease than the vaccine.
From University of Waterloo News
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA
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