This paper is in the following e-collection/theme issue:

Outbreak and Pandemic Preparedness and Management (1727) Behavioural Surveillance for Public Health (229) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Surveillance Systems (462) Articles* (17) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 7, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19034, first published .
Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study

Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study

Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study

Authors of this article:

Von Ralph Dane Marquez Herbuela1, 2 Author Orcid Image ;   Tomonori Karita3 Author Orcid Image ;   Thaddeus Marzo Carvajal1, 4 Author Orcid Image ;   Howell Tsai Ho5 Author Orcid Image ;   John Michael Olea Lorena6 Author Orcid Image ;   Rachele Arce Regalado7 Author Orcid Image ;   Girly Dirilo Sobrepeña8 Author Orcid Image ;   Kozo Watanabe1, 4 Author Orcid Image
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