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Dataset Information

Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence-Based Infodemiology Study.


ABSTRACT:

Background

Discussions of health issues on social media are a crucial information source reflecting real-world responses regarding events and opinions. They are often important in public health care, since these are influencing pathways that affect vaccination decision-making by hesitant individuals. Artificial intelligence methodologies based on internet search engine queries have been suggested to detect disease outbreaks and population behavior. Among social media, Twitter is a common platform of choice to search and share opinions and (mis)information about health care issues, including vaccination and vaccines.

Objective

Our primary objective was to support the design and implementation of future eHealth strategies and interventions on social media to increase the quali

SUBMITTER: Benis A 

PROVIDER: S-EPMC8521455 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature