Ontology highlight
ABSTRACT: Background
The COVID Radar app was developed as a population-based surveillance instrument to identify at-risk populations and regions in response to the COVID-19 pandemic. The app boasts of >8.5 million completed questionnaires, with >280,000 unique users. Although the COVID Radar app is a valid tool for population-level surveillance, high user engagement is critical to the success of the COVID Radar app in maintaining validity.Objective
This study aimed to identify optimization targets of the COVID Radar app to improve its acceptability, adherence, and inclusiveness.Methods
The main component of the COVID Radar app is a self-report questionnaire that assesses COVID-19 symptoms and social distancing behaviors. A total of 3 qualitative substudies were conducted. Fir
SUBMITTER: Splinter B
PROVIDER: S-EPMC9466658 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature