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

Theme Issue 2017: Participatory Disease Surveillance (Skoll Global Threats/Hunter Medical Res Institute) (9) Mobile Health (mhealth) (2777) mHealth for Data Collection and Research (917) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (523) Surveillance Systems (430) Participatory Epidemiology and Surveillance (107)

Published on in Vol 3, No 4 (2017): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7376, first published .
Lessons From the Implementation of Mo-Buzz, a Mobile Pandemic Surveillance System for Dengue

Lessons From the Implementation of Mo-Buzz, a Mobile Pandemic Surveillance System for Dengue

Lessons From the Implementation of Mo-Buzz, a Mobile Pandemic Surveillance System for Dengue

Authors of this article:

May Oo Lwin1 Author Orcid Image ;   Karthikayen Jayasundar1 Author Orcid Image ;   Anita Sheldenkar1 Author Orcid Image ;   Ruwan Wijayamuni2 Author Orcid Image ;   Prasad Wimalaratne3 Author Orcid Image ;   Kacey C Ernst4 Author Orcid Image ;   Schubert Foo1 Author Orcid Image
Article Authors Cited by (28) Tweetations (5) Metrics

Journals

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  4. Smolinski M, Crawley A, Olsen J, Jayaraman T, Libel M. Participatory Disease Surveillance: Engaging Communities Directly in Reporting, Monitoring, and Responding to Health Threats. JMIR Public Health and Surveillance 2017;3(4):e62 View
  5. Lwin M, Sheldenkar A, Panchapakesan C, Ng J, Lau J, Jayasundar K, Horathalge K, Rathnayake V, Crawley A, Wimalaratne P. Epihack Sri Lanka: development of a mobile surveillance tool for dengue fever. BMC Medical Informatics and Decision Making 2019;19(1) View
  6. Herbuela V, Karita T, Francisco M, Watanabe K. An Integrated mHealth App for Dengue Reporting and Mapping, Health Communication, and Behavior Modification: Development and Assessment of Mozzify. JMIR Formative Research 2020;4(1):e16424 View
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  8. Abel Mangueira F, Smania‐Marques R, Dutra Fernandes I, Alves Albino V, Olinda R, Acácia Santos‐Silva T, Traxler J, Matheson D, Santos S. The prevention of arboviral diseases using mobile devices: a preliminary study of the attitudes and behaviour change produced by educational interventions. Tropical Medicine & International Health 2019;24(12):1411 View
  9. Carrillo M, Kroeger A, Cardenas Sanchez R, Diaz Monsalve S, Runge-Ranzinger S. The use of mobile phones for the prevention and control of arboviral diseases: a scoping review. BMC Public Health 2021;21(1) View
  10. Hubert G, Corea F, Schlachetzki F. The role of telemedicine in acute stroke treatment in times of pandemic. Current Opinion in Neurology 2021;34(1):22 View
  11. Lima Y, Pinheiro W, Barbosa C, Magalhães M, Chaves M, de Souza J, Rodrigues S, Xexéo G. Development of an Index for the Inspection of Aedes aegypti Breeding Sites in Brazil: Multi-criteria Analysis. JMIR Public Health and Surveillance 2021;7(5):e19502 View
  12. Arevalo-Nieto C, Sheen J, Condori-Luna G, Condori-Pino C, Shinnick J, Peterson J, Castillo-Neyra R, Levy M, Mutheneni S. Incentivizing optimal risk map use for Triatoma infestans surveillance in urban environments. PLOS Global Public Health 2022;2(8):e0000145 View
  13. Nikookar S, Maleki A, Fazeli-Dinan M, Shabani Kordshouli R, Enayati A. Entomological Surveillance of the Invasive Aedes Species at Higher-Priority Entry Points in Northern Iran: Exploratory Report on a Field Study. JMIR Public Health and Surveillance 2022;8(10):e38647 View
  14. Rosa R, De Silva M, Silva D, Ayub M, Carrillo D, Nardelli P, Rodriguez D. Event Detection System Based on User Behavior Changes in Online Social Networks: Case of the COVID-19 Pandemic. IEEE Access 2020;8:158806 View
  15. Pourkarim M, Nayebzadeh S, Alavian S, Hataminasab S. Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis. Pathogens 2022;11(6):626 View
  16. Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita K. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Reviews in Biomedical Engineering 2019;12:100 View
  17. Freeman E, Carlton E, Paull S, Dadzie S, Buchwald A. Utilizing citizen science to model the distribution of Aedes aegypti in West Africa. Journal of Vector Ecology 2022;47(1) View
  18. Tan Y, Agrawal A, Matsoso M, Katz R, Davis S, Winkler A, Huber A, Joshi A, El-Mohandes A, Mellado B, Mubaira C, Canlas F, Asiki G, Khosa H, Lazarus J, Choisy M, Recamonde-Mendoza M, Keiser O, Okwen P, English R, Stinckwich S, Kiwuwa-Muyingo S, Kutadza T, Sethi T, Mathaha T, Nguyen V, Gill A, Yap P. A call for citizen science in pandemic preparedness and response: beyond data collection. BMJ Global Health 2022;7(6):e009389 View
  19. Ocampo C, Mina N, Echavarria M, Acuña M, Caballero A, Navarro A, Aguirre A, Criollo I, Forero F, Azuero O, Alexander N. VECTOS: An Integrated System for Monitoring Risk Factors Associated With Urban Arbovirus Transmission. Global Health: Science and Practice 2019;7(1):128 View
  20. Braz Sousa L, Fricker S, Webb C, Baldock K, Williams C. Citizen Science Mosquito Surveillance by Ad Hoc Observation Using the iNaturalist Platform. International Journal of Environmental Research and Public Health 2022;19(10):6337 View
  21. Shausan A, Nazarathy Y, Dyda A. Emerging data inputs for infectious diseases surveillance and decision making. Frontiers in Digital Health 2023;5 View
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  23. 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
  24. 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

Books/Policy Documents

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