Analyse par classes latentes de l’intention d’utilisation future d’une application mobile de santé publique concernant la COVID-19

Given the low usage of public health apps during the COVID-19 pandemic and the new normal requiring coexistence with the virus, it is crucial to explore the factors likely to encourage their adoption. This article examines the determinants of future intention to use public health mobile applications associated to COVID-19 by investigating the existence of different population segments. Using latent class modeling (N=310), two groups were identified: one primarily valuing the perceived utility of the app, while perceived social pressure is the predominant factor for the other group. The findings led to the formulation of managerial and public health recommendations tailored to each group identified in this research.