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

Von Ralph Dane Marquez Herbuela 1, 2, PhD;  Tomonori Karita 3, PhD;  Thaddeus Marzo Carvajal 1, 4, PhD;  Howell Tsai Ho 5, PhD;  John Michael Olea Lorena 6, PhD;  Rachele Arce Regalado 7, MA;  Girly Dirilo Sobrepeña 8, MD;  Kozo Watanabe 1, 4, PhD

1 Center for Marine Environmental Studies, Ehime University , Matsuyama , JP

2 Department of Civil and Environmental Engineering, Graduate School of Science and Engineering, Ehime University , Matsuyama , JP

3 Department of Special Needs Education, Graduate School of Education, Ehime University, Matsuyama , JP

4 Biological Control Research Unit, Center for Natural Science and Environmental Research, De La Salle University, Manila , PH

5 College of Arts, Sciences and Education, Trinity University of Asia , Quezon City , PH

6 St. Luke’s College of Nursing, Trinity University of Asia , Quezon City , PH

7 Guidance Counseling and Testing Department, University of Santo Tomas–Angelicum College , Quezon City , PH

8 Pediatrics Department, Novaliches District Hospital , Quezon City , PH

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