Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants

Keyphrases

• United States 100%
• Social Media 100%
• Tweets 100%
• County Level 100%
• U.S. Counties 100%
• HIV Prevalence 100%
• Online Messaging 100%
• Predictive Models 50%
• Motivation 50%
• Sexual Risk Behavior 50%
• Psychological Factors 50%
• HIV Prevention 50%
• Cognitive Activity 50%
• Motor Activity 50%
• Health Effects 50%
• Geographic Variation 50%
• Tracking Behavior 50%
• Behavioral Factors 50%
• Condoms 50%
• Action Goals 50%
• High-risk Community 50%
• HIV Epidemic 50%
• Demographic Predictors 50%
• Action Language 50%
• Vulnerable Communities 50%
• Work Plan 50%
• Health Protective Behavior 50%
• Community Risk 50%
• Structural Predictor 50%

Psychology

• Psychological Factor 100%
• Motor Activity 100%
• Protective Health Behavior 100%

Social Sciences

• Human Immunodeficiency Virus 100%
• USA 28%
• Health Behavior 14%
• Psychological Factor 14%
• HIV-Prevention 14%