Cargando…
A Layered Adopter-Structure Model for the Download of COVID-19 Contact Tracing Apps: A System Dynamics Study for mHealth Penetration
(1) Background: Contact tracing and notification apps for coronavirus disease 2019 (COVID-19) are installed on smartphones and are intended to detect contact with another person’s device. A high installation rate is important for these apps to enable them to be effective countermeasures against the...
Autores principales: | Niwa, Makoto, Lim, Yeongjoo, Sengoku, Shintaro, Kodama, Kota |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998972/ https://www.ncbi.nlm.nih.gov/pubmed/35410014 http://dx.doi.org/10.3390/ijerph19074331 |
Ejemplares similares
-
Superiority of Mild Interventions against COVID-19 on Public Health and Economic Measures
por: Niwa, Makoto, et al.
Publicado: (2021) -
Drivers of downloading and reasons for not downloading COVID-19 contact tracing and exposure notification apps: A national cross-sectional survey
por: Gao, Golden, et al.
Publicado: (2022) -
Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps
por: Pereira-Azevedo, Nuno, et al.
Publicado: (2016) -
Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis
por: Cao, Jianfei, et al.
Publicado: (2021) -
Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents
por: Djurian, Arisa, et al.
Publicado: (2021)