Health Messaging During a Pandemic: How Information Type and Individual Factors Influence Responses to COVID-19 Messages

Keyphrases

• Age Groups 33%
• Audience Response 33%
• Behavioral Intention 66%
• COVID-19 33%
• COVID-19 Messages 100%
• COVID-19 Protection 33%
• Education Level 33%
• Efficacy Data 66%
• Equal Distribution 33%
• Freedom Threat 66%
• Group Education 33%
• Handwashing 66%
• Health Behavior 33%
• Health Messages 100%
• Health Threat 66%
• Influence Factors 100%
• Information Type 100%
• Mask Wearing 33%
• Perceived Freedom 33%
• Political Ideology 33%
• Protection Behavior 33%
• Protective Behavior 33%
• Public Health Messaging 33%
• Reactance 66%
• Reactance Theory 33%
• Response Rate 33%
• Response to COVID-19 100%
• Self-efficacy 33%
• Threat Information 33%
• Traditional Health 33%

Computer Science

• Behavioral Intention 100%
• Design Experiment 50%
• Efficacy Information 100%
• Influence Factor 100%
• Information Present 100%
• Information Type 100%
• Threat Information 50%

Psychology

• Political Ideology 100%
• Public Health 100%
• Self-Efficacy 100%