The Omicron variant and potential predictions of secondary infections

Damavandi, Pardis Tabaee

doi:10.31219/osf.io/urt6e

Cited by 1 publication

(1 citation statement)

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“…Their recommendation is to continue in the cautions of wearing masks, social distancing, vaccination, etc. Authors in [19] studied the potential prediction of the Omicron variant and provided some recommendations which can be used to protect people from the Omicron virus. Authors in [20] studied the detection of public opinion about the effectiveness of vaccination during the Omicron variant outbreak.…”

Section: Related Workmentioning

confidence: 99%

Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework

Mahyoob

Algaraady

Alrahiali

et al. 2022

Eng. Technol. Appl. Sci. Res.

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While different variants of COVID-19 dramatically affected the lives of millions of people across the globe, a new version of COVID-19, "SARS-CoV-2 Omicron," emerged. This paper analyzes the public attitude and sentiment towards the emergence of the SARS-CoV-2 Omicron variant on Twitter. The proposed approach relies on the text analytics of Twitter data considering tweets, retweets, and hashtags' main themes, the pandemic restriction, the efficacy of covid-19 vaccines, transmissible variants, and the surge of infection. A total of 18,737 tweets were pulled via Twitter Application Programming Interface (API) from December 3, 2021, to December 26, 2021, using the SentiStrength software that employs a lexicon of sentiment terms and a set of linguistic rules. The analysis was conducted to distinguish and codify subjective content and estimate the strength of positive and negative sentiment with an average of 95% confidence intervals based upon emotion strength scales of 1-5. It is found that negativity was dominated after the outbreak of Omicron and scored 31.01% for weak, 16.32% for moderate, 5.36% for strong, and 0.35% for very strong sentiment strength. In contrast, positivity decreased gradually and scored 16.48% for weak, 11.19% for moderate, 0.80% for strong, and 0.04% for very strong sentiment strength. Identifying the public emotional status would help the concerned authorities to provide appropriate strategies and communications to relieve public worries about pandemics.

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Section: Related Workmentioning

confidence: 99%