Icon Legend

This session is not in your schedule.

This session is in your schedule. Click again to remove it.

Latin American Student Competition

Latin American Student Competition

137 - Advancing Vector Surveillance: Predictive Mapping of Kdr Polymorphisms Using Remote Sensing Data

Wednesday, March 25, 2026

10:45 AM - 10:55 AM PDT

Location: B113

Presenter(s)

Katya M. Padilla, Student (she/her/hers)

Student
Universidad Autonoma de Nuevo Leon, Nuevo Leon, Mexico

Co-Author(s)

Maria de Lourdes Ramirez-Ahuja, n/a

Research- Professor
Universidad Autónoma de Nuevo León, Nuevo Leon, Mexico
IG

Idalia Garza-veloz, n/a

Universidad Autónoma de Zacatecas, Zacatecas, Mexico
Margarita Martinez-Fierro, n/a

Universidad Autónoma de Zacatecas, Zacatecas, Mexico
Iram Pablo P. Rodríguez-Sánchez, n/a (he/him/his)

Research- Professor
Universidad Autónoma de Nuevo León, Nuevo Leon, Mexico
Gerardo Trujillo-Rodriguez (they/them/theirs)

Research- Professor
Universidad Autónoma de Nuevo León, Nuevo Leon, Mexico

Abstract: This study focuses on predicting kdr polymorphisms in Aedes aegypti through remote sensing-based mapping. The research aimed to identify potential mutations linked to insecticide resistance in mosquito populations from different regions. Using remote sensing tools, spatial distribution patterns of resistance-associated genes were analyzed. This integrative mapping approach enhances the detection and prediction of resistant Aedes aegypti strains, contributing to more efficient monitoring and control strategies against dengue and other mosquito-borne diseases.