Discrepancies between Aedes aegypti identification in the field and in the laboratory after collection with a sticky trap

First official record of Aedes (Stegomyia) albopictus (Diptera: Culicidae) in the Acre State, Northern Brazil

Aedes (Stegomyia) albopictus (Skuse, 1854) was reported in Brazil for the first time in 1986 and has shown marked expansion throughout the Brazilian territory. During a routine activity to control dengue fever conducted by the Division of Entomology of the Municipal Health Department in Rio Branco city, adults and immatures of Culicidae were collected in a peri-urban area. The identified Culicidae forms indicated that they belonged to the species Ae. albopictus. This is the first official record of the presence of Ae. albopictus in the Acre State, confirming its current presence in all Brazilian states.

Molecular techniques for the taxonomy of Aedes Meigen, 1818 (Culicidae: Aedini): A review of studies from 2010 to 2021

The original description of Aedes Meigen in 1818, written in Latin, was very brief and included a single species, Aedes cinereus. In the last two decades the genus Aedes (Meigen, 1818) has undergone several revisions and reclassifications, with the current proposal being described by Wilkerson in 2015. However, the available keys for morphological identification are still not sufficient to differentiate cryptic species, damaged species, or those with confusing taxonomy. The current study aims to identify and describe the main taxonomic proposals and molecular methodologies available for the identification of the genus Aedes published between the years 2010 and 2021. The main molecular techniques used to identify the genus in the last 10 years, are: Multiplex PCR, DNA barcoding, nuclear and mitochondrial markers, environmental DNA, and bacterial microbiome analysis. This review highlights that there are catalogued data for only a few species of the genus Aedes, being restricted to medically important taxa such as Aedes albopictus and Aedes aegypti. The integrative taxonomy approach is a possibility to reconcile morphological and molecular data to improve species delimitation, contributing to future revisions of the genus.

Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time

Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development process. In particular, we constructed a dataset with 4120 images of Aedes mosquitoes that were older than 12 days old and had common morphological features that disappeared, and we illustrated how to set up supervised deep convolutional neural networks (DCNNs) with hyperparameter adjustment. The model application was first conducted by deploying the model externally in real time on three different generations of mosquitoes, and the accuracy was compared with human expert performance. Our results showed that both the learning rate and epochs significantly affected the accuracy, and the best-performing hyperparameters achieved an accuracy of more than 98% at classifying mosquitoes, which showed no significant difference from human-level performance. We demonstrated the feasibility of the method to construct a model with the DCNN when deployed externally on mosquitoes in real time.