Incorporating Machine Learning Techniques to Enhance Rodent Surveillance in Marginalized Urban Communities

ABSTRACT Effective management of rodent pests necessitates efficient population surveillance. Many of the available methods currently used for estimating rodent populations are either costly or time‐intensive. Rodent trapping demands significant resources, while tracking plates (TP) require high tec...

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Bibliographic Details

Published in:	Ecology and Evolution
Main Authors:	Fabio Neves Souza, Adedayo Michael Awoniyi, Rodrigo Dalvit Carvalho daSilva, Nivison Nery Jr, Maria Victoria Moraes Oliveira, Caio Graco Zeppelini, George Andre Pereira Thé, Kathryn Hacker, Max T. Eyre, Hernan Dario Argibay, Albert Ko, Federico Costa, Hussein Khalil
Format:	Article
Language:	English
Published:	Wiley 2025-11-01
Subjects:	machine learning pest rodents principal component analysis rodent management zoonoses control
Online Access:	https://doi.org/10.1002/ece3.72382