An Association of Influenza Epidemics in Children With Mobile App Data: Population-Based Observational Study in Osaka, Japan.

Yusuke Katayama Kosuke Kiyohara Tomoya Hirose Kenichiro Ishida Jotaro Tachino Shunichiro Nakao Tomohiro Noda Masahiro Ojima Takeyuki Kiguchi Tasuku Matsuyama Tetsuhisa Kitamura

Published in: JMIR formative research (2022)

In this study, the number of times that mobile apps were used was positively associated with the number of influenza patients. In particular, there was a good association of the number of influenza patients with the number of "fever" events selected in the mobile app during the influenza epidemic season.

Keyphrases

end stage renal disease
newly diagnosed
chronic kidney disease
young adults
prognostic factors
machine learning
big data
patient reported outcomes
artificial intelligence