Sociodemographic determinants of download and use of a mHealth application for Corona contact tracing (Corona Warn App) in Germany – results of the COSMO study

This study aims to analyze the association of sociodemographic characteristics of users to download and use of the Corona tracing app launched in Germany in June 2020 (“Corona Warn App”, CWA). Also, we want to examine attitudes towards the app stratified by selected population characteristics to understand barriers to successful use. Data from the most recent waves of the COVID-19 Snapshot Monitoring (COSMO) that contain items referring to the CWA (waves 15-19) will be used. Sociodemographic characteristics include age, gender, education, federal state, migrant status, number of children, presence of chronic disease, work status, income, smart phone use. Variables concerning CWA include information on download, use and opinions about functionality of the CWA. Main outcome parameter for CWA use will be the question “have you already downloaded the app”. Attitudes towards CWA will be analysed exploratively. Multiple logistic regression analyses will be used to assess the association of sets of potential sociodemographic predictors as independent variables. Dataset for: Grill, E., Eitze, S., De Bock, F., Dragano, N., Huebl, L., Schmich, P., Wieler, L. H. & Betsch, C. (2021). Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany—Results of the COSMO surveys. PloS one, 16(9). https://doi.org/10.1371/journal.pone.0256660 This work was supported by the German Research Foundation (BE3970/11-1, BE3970/12-1), Federal Centre for Health Education, Robert Koch Institute, Leibniz Institute of Psychology, Klaus Tschira Stiftung, Thüringer Ministerium für Wirtschaft, Wissenschaft und digitale Gesellschaft and University of Erfurt (no award/grant numbers). unknown other