ABSTRACT

Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts (Volume 7, Issue 11)   [open pdf - 1MB]

From the Introduction: "COVID-19 [coronavirus disease 2019] first presented as an atypical pneumonia of unknown cause in Wuhan, China, in late December 2019. Within a short time frame, the virus spread to multiple countries despite international efforts to contain it, resulting in significant death, psychological impact, and economic disruption around the world [...]. This led the World Health Organization (WHO) to declare COVID-19 a Public Health Emergency of International Concern on January 30, 2020 [...], and a global pandemic on March 11, 2020 [...]. After more than one year of battling with the pandemic, vaccines for COVID-19 present as a promising and viable solution to end the pandemic, particularly through concerted efforts in global mass vaccination to achieve herd immunity from the COVID-19 virus [...]. On November 18, 2020, the hope of ending the COVID-19 pandemic became more conceivable when Pfizer-BioNTech announced in the press [...] the first available COVID-19 vaccine, which had 95% efficacy and a good safety profile[.]"

Author:
Publisher:
Date:
2021-03-11
Series:
Copyright:
[2021 Tau Ming Liew, Cia Sin Lee]. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [https://creativecommons.org/licenses/by/4.0/].
Retrieved From:
JMIR Publications: https://jmirpublications.com/
Format:
pdf
Media Type:
application/pdf
Source:
JMIR Publications (March 11, 2021), v. 7, issue 11, p. 1-19
URL:
Help with citations