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

Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (85) Surveillance Systems (514) Usability of Apps and User Perceptions of mHealth (1189) Mobile Health (mhealth) (3470)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56605, first published .
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

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
Article Authors Cited by (2) Tweetations Metrics

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