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

Formative Evaluation of Digital Health Interventions (2410) Mobile Health (mhealth) (2939) Infectious Diseases (non-STD/STI) (1575) Surveillance Systems (462)

Published on in Vol 4, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16424, first published .
An Integrated mHealth App for Dengue Reporting and Mapping, Health Communication, and Behavior Modification: Development and Assessment of Mozzify

An Integrated mHealth App for Dengue Reporting and Mapping, Health Communication, and Behavior Modification: Development and Assessment of Mozzify

An Integrated mHealth App for Dengue Reporting and Mapping, Health Communication, and Behavior Modification: Development and Assessment of Mozzify

Authors of this article:

Von Ralph Dane Marquez Herbuela1 Author Orcid Image ;   Tomonori Karita2 Author Orcid Image ;   Micanaldo Ernesto Francisco1 Author Orcid Image ;   Kozo Watanabe1, 3 Author Orcid Image
Article Authors Cited by (13) Tweetations (10) Metrics

Journals

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  2. Herbuela V, Karita T, Carvajal T, Ho H, Lorena J, Regalado R, Sobrepeña G, Watanabe K. Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study. JMIR Public Health and Surveillance 2021;7(3):e19034 View
  3. Krishna M, Sybil D, Shrivastava P, Premchandani S, Kumar H, Kumar P. An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study. JMIR Perioperative Medicine 2021;4(2):e31852 View
  4. Wong L, Alias H, Lee H, AbuBakar S. Has Zika Been Forgotten? Findings From Nationwide Survey on Knowledge, Attitudes, and Mosquito Preventive Practices in Malaysia. Disaster Medicine and Public Health Preparedness 2023;17 View
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  6. Hu T, Chow J, Chien T, Chou W. Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study. Medicine 2023;102(13):e33296 View
  7. Salim M, Satoto T, Danardono D, Daniel D. Digital Health Interventions in Dengue Surveillance to Detect and Predict Outbreak: A Scoping Review. The Open Public Health Journal 2024;17(1) View
  8. Zhang Q, Ding X, Zhang Y, Yang Y, Mao F, Ni B, Liu Y, Culleton R, Dai Y, Cao J. A smartphone-based crowd-sourced real-time surveillance platform (apple snail inspector) for the invasive snails: a design and development study. Parasites & Vectors 2024;17(1) View
  9. Mahotra A, Pokhrel Y, Thapa T, Arguni E, Andono R. Feasibility of NepaDengue mobile application for dengue prevention and control: user and stakeholder perspectives in Nepal. BMJ Public Health 2024;2(1):e000599 View
  10. Ng W, Ng C, Teo C, Ang T, Lee Y, Abdul Hadi H, Chiang D, Mohd Noor M, Syed Omar S, Ong H, Wong P, Kukreja A, Chiew T, Ong S, Noor Azhar A. Feasibility and acceptability of a dengue self-monitoring system to reduce treatment delay in Malaysia: A single-centre pilot randomised controlled trial. DIGITAL HEALTH 2024;10 View
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