Author: Richard J. Medford; Sameh N. Saleh; Andrew Sumarsono; Trish M. Perl; Christoph U. Lehmann
Title: An ""Infodemic"": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak Document date: 2020_4_7
ID: a6p6ka8w_22
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052936 doi: medRxiv preprint protective gear, dissemination of health information, and large-scale quarantine were most common. Tweets with reference to vaccinations were found in 1.2% of total tweets and increased at a slower rate than IPC-related tweets overall. The most prevalent vaccine-related tweets were about vaccine availabil.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052936 doi: medRxiv preprint protective gear, dissemination of health information, and large-scale quarantine were most common. Tweets with reference to vaccinations were found in 1.2% of total tweets and increased at a slower rate than IPC-related tweets overall. The most prevalent vaccine-related tweets were about vaccine availability, vaccine development, and advocacy to receive the influenza vaccine.
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