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Activity Number: 443 - SPEED: Statistical Methods and Applications in Medical Research, Risk Analysis, and Marketing Part 2
Type: Contributed
Date/Time: Wednesday, August 10, 2022 : 10:30 AM to 11:15 AM
Sponsor: International Chinese Statistical Association
Abstract #323835
Title: Association of COVID Vaccine Hesitancy and Vaccine Misinformation Using Google Trends Analytics Vaccine Hesitancy
Author(s): Lan Gao*
Companies: The University of Tennessee at Chattanooga
Keywords: COVID ; Vaccine Hesitation ; Google Trends Data ; Data Visualization; Health Communication; vaccine misinformation

During the COVID-19 pandemic, many people have been exposed to information that is false, inaccurate, or misleading. Misconceptions about the COVID-19 vaccines have caused confusion and led people to decline vaccines, reject public health measures such as masking and physical distancing, and use unproven treatments. In this project we investigate the COVID-19 vaccine hesitancy and misinformation on vaccine and their potential association via analytics of user online web search activities from Google Trends data.

Authors who are presenting talks have a * after their name.

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