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Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (136) Mobile Health (mhealth) (5038) Usability of Apps and User Perceptions of mHealth (1772) Surveillance Systems (660)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56605, first published .
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A Handheld Tool for the Rapid Morphological Identification of Mosquito Species (VectorCam) for Community-Based Malaria Vector Surveillance: Summative Usability Study

A Handheld Tool for the Rapid Morphological Identification of Mosquito Species (VectorCam) for Community-Based Malaria Vector Surveillance: Summative Usability Study

Authors of this article:

Saisamhitha Dasari1 Author Orcid Image ;   Bhavya Gopinath1 Author Orcid Image ;   Carter James Gaulke1 Author Orcid Image ;   Sunny Mahendra Patel1 Author Orcid Image ;   Khalil K Merali1 Author Orcid Image ;   Aravind Sunil Kumar1 Author Orcid Image ;   Soumyadipta Acharya1 Author Orcid Image
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Journals

  1. Li D, Hegde S, Sunil Kumar A, Zacharias A, Mehta P, Mukthineni V, Srimath S, Patel S, Suin M, Chellappa R, Acharya S. Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications. Scientific Reports 2024;14(1) View
  2. Sutanto H, Ansharullah B. The role of artificial intelligence for dengue prevention, control, and management: A technical narrative review. Acta Tropica 2025;268:107741 View
  3. Okumu F, Finda M, Odero J, Aboagye-Antwi F, Adeogun A, Atta-Obeng C, Baldini F, Bouyer J, Burkot T, Churcher T, Dadzie S, Diabaté A, Ferguson H, Govella N, Habtewold T, Hancock P, Kahamba N, Kaindoa E, Kayondo J, Lawniczak M, Lobo N, Lwetoijera D, Maiga H, Marrenjo D, Marshall J, Matoke-Muhia D, Mgaya J, Msaky D, Urio N, Munhenga G, Muyaga L, Mwalimu C, Mwanga E, Ngowo H, Ochomo E, Ogoma S, Okonjo E, Opiyo M, Ramaita E, Reddy M, Salum S, Santos M, Sedda L, Seethaler T, Selvaraj P, Sikulu-Lord M, Siria D, Tarimo B, Tatarsky A, Tchouakui M, Thomsen E, Tonui W, Tripet F, Wiener S, Windbichler N, Wondji C, Nolan T, James S. Adapting Africa’s vector surveillance systems to monitor gene-drive mosquitoes in malaria control. Trends in Parasitology 2026;42(6):463 View
  4. Wang J, Wang K, Luo M, Li T, Liu Q, Guan Z, Gong Z, Sun J. Evaluating AI-based mosquito monitoring technologies: a field study in Zhejiang Province, 2025. Frontiers in Veterinary Science 2026;13 View
  5. Hey M, Rincon-Torroella M, Mohan D, Patel S, Kansiime W, Shodhan A, Maiteki Sebuguzi C, Yazdi Y, Waiswa P, Acharya S. Integration of VectorCam, an AI-Enabled Mosquito Surveillance Tool, into Uganda’s National Malaria Elimination Program: Protocol for a Mixed Methods Hybrid Type III Implementation Study (Preprint). JMIR Public Health and Surveillance 2026 View