Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens

• DOI: 10.2196/28416
• Publication Date: 2021-11-17T02:19:58Z
• Authors: Stephanie Jansen-...; Marian Hurmuz; Marjolein den Ouden; Lex van Velsen
• Keywords: Snowball sampling; Contact tracing; mHealth; Demographics; Mobile apps; Smartphone app; Social distance; Computer-assisted web interviewing

eHealth apps have been recognized as a valuable tool to reduce COVID-19's effective reproduction number. The factors that determine the acceptance of COVID-19 remain unknown. exception here is privacy.The aim this article was identify antecedents (1) mobile app for symptom recognition and monitoring (2) contact tracing, both by means an online survey among Dutch citizens.Next demographics, contained questions focusing on perceived health, fear COVID-19, intention use. We used snowball sampling via posts social media personal connections. To model 2 apps, we conducted multiple linear regression analyses.In total, 238 adults completed survey; 59.2% (n=141) responders were female average age 45.6 years (SD 17.4 years). For app, final included predictors age, attitude toward technology, COVID-19. had r2 0.141. tracing same 0.156. main reason use control spread virus. Concerns about privacy mentioned not apps.Age, are important tracing. These should be taken into account during development implementation these secure acceptance.