Related Experiment Video
Updated: Nov 29, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
What people share about the COVID-19 outbreak on Twitter? An exploratory analysis
Dhivya Karmegam1, Bagavandas Mapillairaju2
1Centre for Statistics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India dhivya.megam@gmail.com.
Background:
The recent outbreak of respiratory illness caused by COVID-19 in Wuhan, China, has received global attention as it has infected thousands of individuals there, and later it has also been reported from other countries internationally. This study aims at performing an exploratory study on Twitter to understand the information shared among the community regarding the COVID-19 outbreak.
Methods:
COVID-19 related tweets were collected from Twitter using keywords from 18 January to 25 January 2020. Top-ranking tweets were taken as samples and then categorised based on the content. Expressions or opinion tweets were analysed qualitatively to understand the mindset of the people regarding the outbreak. Theme wise reachability evaluation of the messages was also performed.
Results:
Based on the content of the tweets, five themes were evolved: (1) general information; (2) health information; (3) expressions; (4) humour and (5) others. 57.42% of messages are general information followed by expressive tweets (24.12%). Humorous messages were liked the most, whereas health information tweets were retweeted the maximum. Fear was the predominant emotion expressed in the messages.
Conclusion:
The results of the study would be useful to focus on the dissemination of the right information and effective communication on Twitter related to health and outbreak management.
Related Concept Videos
Steps in Outbreak Investigation
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Statistical Methods for Analyzing Epidemiological Data
Principles of Disease Surveillance
Causality in Epidemiology
Contingency Table

