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
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Chu A, Chan J, Tsang J, Tiwari A, So M. Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis. JMIR Public Health and Surveillance 2021;7(3):e27317 View
  2. Hijab M, Al-Thani D, Banire B. A Multimodal Messaging App (MAAN) for Adults With Autism Spectrum Disorder: Mixed Methods Evaluation Study. JMIR Formative Research 2021;5(12):e33123 View
  3. Wiyono L, Rocha I, Cedeño T, Miranda A, Lucero-Prisno III D. Dengue and COVID-19 infections in the ASEAN region: a concurrent outbreak of viral diseases. Epidemiology and Health 2021;43:e2021070 View
  4. 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
  5. 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
  6. Ligsay A, Santos M, Simbul E, Tambio K, Aytona M, Alejandro G, Paul R, Regencia Z, Baja E. “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study. International Journal of Environmental Research and Public Health 2021;18(22):11851 View
  7. Le T, Nguyen H, Vu P, Le D, Nguyen T, Hoang V, Duong K, Dao T. Space-time scanning statistics in the prediction and evaluation of dengue epidemic clusters. IJID Regions 2024;13:100441 View
  8. Melo C, Rangel L, Guaraldo L, Paula D, Wakimoto M. Use of digital tools in arbovirus surveillance: a scoping review (Preprint). Journal of Medical Internet Research 2024 View