Predicting Aedes aegypti eggs count using remote sensing data and a generalized linear model

Aedes aegypti
Remote sensing
Modeling
Time series
Authors

O. Mudele

V. Andreo

X. Porcasi

C. M. Scavuzzo

L. Lopez

P. Gamba

Published

July 11, 2021

Doi

10.1109/IGARSS47720.2021.9554002

PDF

Abstract

Here, we present a method for temporal modeling of the oviposition activity of Ae. aegypti mosquitoes based on a weighted generalised linear model (GLM) with explanatory environmental effects extracted from freely available remotely sensing (satellite) images. Our results show potential for operational applications. Experimental results are provided using field collected Ae. aegypti eggs count data in Córdoba, Argentina.

Observed and predicted mean egg counts per week for the fitted generalized linear models.

Citation

O. Mudele, V. Andreo, X. Porcasi, C. M. Scavuzzo, L. Lopez, P. Gamba (2021). Predicting Aedes aegypti eggs count using remote sensing data and a generalized linear model. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 84–87. https://doi.org/10.1109/IGARSS47720.2021.9554002

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