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International Journal of Health Geographics|May 30, 2020
Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysisDhivya Karmegam, Bagavandas MappillairajuBMJ Health & Care Informatics|November 20, 2020
What people share about the COVID-19 outbreak on Twitter? An exploratory analysisDhivya Karmegam, Bagavandas MapillairajuDiabetes & Metabolic Syndrome|December 17, 2021
Social media analytics and reachability evaluation - #DiabetesDhivya Karmegam, Bagavandas MappillairajuInformatics for Health & Social Care|April 20, 2021
Use of social media data for disease based social network analysis and network modeling: A Systematic ReviewThilagavathi Ramamoorthy, Dhivya Karmegam, Bagavandas MappillairajuCureus|January 24, 2025
People's Attitude and Perception of the Pandemic on Twitter: A Case Study of COVID-19 in IndiaMeera Pv, Dhivya Karmegam, Suriya SaravananDisaster Medicine and Public Health Preparedness|July 6, 2019
A Systematic Review of Techniques Employed for Determining Mental Health Using Social Media in Psychological Surveillance During DisastersDhivya Karmegam, Thilagavathi Ramamoorthy, Bagavandas MappillairajanJournal of Computational Social Science|June 26, 2023
Perception of COVID-19 vaccination among Indian Twitter users: computational approachPrateeksha Dawn Davidson, Thanujah Muniandy, Dhivya KarmegamDialogues in Health|March 22, 2024
Development of database structure and indexing for siddha medicine system - A platform for siddha literature analyticsDhivya Karmegam, Muthuperumal Prakash, N Karikalan, et al.Disaster Medicine and Public Health Preparedness|June 1, 2026
Building Machine Learning Model for Emotional Analysis of Twitter (X) Discourse during Flood Disasters: A Case Study of Chennai, IndiaDhivya Karmegam, Sivakumar Ramamoorthy, Bagavandas Mappillairaju, et al.Pageof 1