Omicron Variant
The Omicron variant of SARS-CoV-2 spurred extensive research focusing on its unique characteristics and impact, including its spread dynamics and effects on respiratory health. Current research employs diverse methods, ranging from network analysis algorithms (like Louvain and Leiden) to explore its protein interactions, to deep learning models applied to social media data (Twitter) to understand public perception and behavior during its emergence. These studies aim to improve our understanding of Omicron's transmission, severity, and the effectiveness of public health interventions, ultimately contributing to better pandemic preparedness and response strategies. Furthermore, research is exploring acoustic analysis of respiratory sounds to potentially differentiate Omicron infections from other variants.
Papers
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection
Nirmalya Thakur, Chia Y. Han
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave
Nirmalya Thakur