Developing advanced traps and AI to control mosquito populations

Next generation mosquito control through technology-driven trap development and artificial intelligence guided detection of mosquito breeding habitats

NIH-funded research University of South Carolina at Columbia · NIH-10894089

This study is testing new ways to control mosquitoes using smart traps and technology to find and manage where they breed, which could help lower the number of mosquitoes and reduce the risk of diseases like Zika and dengue for everyone in the community.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of South Carolina at Columbia NIH-funded
Lab location1 site (Columbia, United States)
Project IDNIH-10894089 on NIH RePORTER

What this research studies

This research focuses on improving mosquito control methods by using innovative traps and artificial intelligence to detect and manage mosquito breeding habitats. The project aims to identify and count Aedes mosquitoes at different life stages, which will help in making informed decisions about where to apply insecticides. By utilizing technology from other fields, the researchers hope to create more effective and targeted mosquito control strategies, ultimately reducing the risk of diseases like Zika, dengue, and chikungunya. Patients and communities could benefit from reduced mosquito populations and lower incidence of arboviral infections.

Who could benefit from this research

Good fit: Ideal candidates for participation or benefit include individuals living in areas with high populations of Aedes mosquitoes or those at risk for arboviral infections.

Not a fit: Patients living in regions where Aedes mosquitoes are not present or where arboviral diseases are not a concern may not receive any benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly reduce the incidence of mosquito-borne diseases in affected communities.

How similar studies have performed: Previous research has shown promise in using technology for pest control, indicating that this approach could lead to successful outcomes.

Where this research is happening

Columbia, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Arboviral infectionsArbovirus InfectionsArthropod-Born Viral Infection
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.