Systematic Review on Citizen Science and Artificial Intelligence for Vector-Borne Diseases

7 citations as recorded by crossref.

1. The role of citizen science in mosquito-borne disease surveillance and control: A scoping review N. Kianfar et al. https://doi.org/10.1371/journal.pone.0348697
2. AI in remote sensing and satellite image processing-a review O. Krejcar & H. Namazi https://doi.org/10.1007/s12665-025-12798-w
3. Ethical and equitable approaches in AI for vector-borne disease management J. Williams et al. https://doi.org/10.1007/s43681-025-00933-z
4. The Impact of Artificial Intelligence on Diagnostic Medicine M. Wheatley https://doi.org/10.70389/PJAI.100007
5. A review of artificial intelligence for predicting climate driven infectious disease outbreaks to enhance global health resilience S. Inam https://doi.org/10.1186/s12982-025-01167-4
6. Artificial intelligence for precision malaria control: transforming surveillance, prediction, and intervention strategies M. Abdi et al. https://doi.org/10.3389/fdgth.2026.1879638
7. Augmenting community-driven vector surveillance with automated image classification: Lessons from the Artificial Intelligence Mosquito Alert (AIMA) system M. Falk et al. https://doi.org/10.1016/j.epidem.2025.100863