Systemic Functional Linguistics: Mood Analysis on Risk and Vulnerability to COVID-19

Purpose: This study examines Risk and Vulnerability to COVID-19 using Systemic Functional Linguistics (SFL) mood analysis to understand health messages and their functional meaning. Methodology: Hallidyan (1994) SFL Mood analysis framework, Tabular orientation. The sample was selected health messages. Analysis of 50 clauses Findings: 29 clauses were imperative (58%), 21 clauses were declarative (42%), No interrogative or exclamatory clauses found. Health messages primarily contained instructions or directions related to COVID-19 risk and vulnerability Unique Contribution to Theory, Practice and Policy: The study provides a foundation for understanding interpersonal metafunction of language in health communication. It serves as a starting point for learners and beginners in SFL mood analysis. Tabulated data presentation facilitates easy understanding and analysis.