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_21
Snippet: Prior to January 20th, our analysis showed very few tweets related to infection prevention and control (IPC) followed by a steady increase starting January 21st (Figure 3 ). Isolation-related tweets were the most prevalent followed by mask and hand hygiene. Coinciding with the quarantine of the Hubei province, isolation-related tweets disproportionately increased on January 24. All IPC subgroups increased over time but their ranking did not chang.....
Document: Prior to January 20th, our analysis showed very few tweets related to infection prevention and control (IPC) followed by a steady increase starting January 21st (Figure 3 ). Isolation-related tweets were the most prevalent followed by mask and hand hygiene. Coinciding with the quarantine of the Hubei province, isolation-related tweets disproportionately increased on January 24. All IPC subgroups increased over time but their ranking did not change. IPC-related content was present in 4.8% of tweets. Discussions of prevention techniques, shortage of . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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