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International Journal of
Entomology Research
ARCHIVES
VOL. 10, ISSUE 5 (2025)
Advances in sand fly control from conventional strategies to artificial intelligence integration: A review
Authors
Dr. Heena Sachdeva, Dr. Manish Sharma
Abstract
Leishmaniasis, caused by protozoa of the genus Leishmania, is transmitted by female sand flies and remains a major public health concern in many developing countries. Traditional vector control strategies have historically relied on insecticides and environmental management. However, these approaches face limitations due to resistance development, environmental impact, and logistical constraints. Recent developments in Artificial Intelligence (AI) offer novel approaches to augment vector surveillance, automate species identification, and predict outbreaks with high accuracy. This review explores the shift from conventional sand fly control to AI-driven innovations, discusses their benefits and limitations, and highlights the importance of integrating both methods for effective disease control.
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Pages:81-83
How to cite this article:
Dr. Heena Sachdeva, Dr. Manish Sharma "Advances in sand fly control from conventional strategies to artificial intelligence integration: A review". International Journal of Entomology Research, Vol 10, Issue 5, 2025, Pages 81-83
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