AIMC Topic: Mosquito Vectors

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Deep learning identification for citizen science surveillance of tiger mosquitoes.

Scientific reports Feb 25, 2021
Global monitoring of disease vectors is undoubtedly becoming an urgent need as the human population rises and becomes increasingly mobile, international commercial exchanges increase, and climate change expands the habitats of many vector species. Tr...
Mosquito Control Mosquito Vectors Animal Distribution Smartphone Mobile Applications Culicidae Citizen Science Humans Animals Deep Learning
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Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networks.

PLoS neglected tropical diseases Dec 17, 2020
Deep learning is a powerful approach for distinguishing classes of images, and there is a growing interest in applying these methods to delimit species, particularly in the identification of mosquito vectors. Visual identification of mosquito species...
Image Processing, Computer-Assisted Culicidae Humans Mosquito Vectors Neural Networks, Computer Animals
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An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectra.

PloS one Jun 18, 2020
After mating, female mosquitoes need animal blood to develop their eggs. In the process of acquiring blood, they may acquire pathogens, which may cause different diseases in humans such as malaria, zika, dengue, and chikungunya. Therefore, knowing th...
Spectroscopy, Near-Infrared Malaria Mosquito Vectors Neural Networks, Computer Female Animals Anopheles Oviparity Humans
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Classification and Morphological Analysis of Vector Mosquitoes using Deep Convolutional Neural Networks.

Scientific reports Jan 23, 2020
Image-based automatic classification of vector mosquitoes has been investigated for decades for its practical applications such as early detection of potential mosquitoes-borne diseases. However, the classification accuracy of previous approaches has...
Deep Learning Image Processing, Computer-Assisted Entomology Aedes Animals Disease Transmission, Infectious Mosquito Vectors Culex
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AI- modelling of molecular identification and feminization of wolbachia infected Aedes aegypti.

Progress in biophysics and molecular biology Jul 11, 2019
BACKGROUND: The genetic control strategies of vector borne diseases includes the replacement of a vector population by "disease-refractory" mosquitoes and the release of mosquitoes with a gene to control the vector's reproduction rates. Wolbachia are...
Infections Mosquito Vectors Systems Analysis Feminization Wolbachia Models, Biological Reproduction Aedes Animals Male Models, Theoretical Artificial Intelligence Computer Simulation Humans
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Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.

Malaria journal May 30, 2019
BACKGROUND: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, determining proportions of mosquitoes that have fed on humans, i.e. Hum...
Humans Female Animals Logistic Models Chickens Vertebrates Feeding Behavior Malaria Anopheles Blood Mosquito Vectors Goats Host Specificity Spectrophotometry, Infrared Supervised Machine Learning
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Application of convolutional neural networks for classification of adult mosquitoes in the field.

PloS one Jan 14, 2019
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus Aedes and have caused several outbreaks in world over the past ten years. Morphological identification of mosquitos is currently restricted due to the small number of ...
Culex Mosquito Vectors Models, Anatomic Arbovirus Infections Image Processing, Computer-Assisted Aedes Species Specificity Humans Female Animals Male Neural Networks, Computer Machine Learning Databases, Factual
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HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning.

Scientific reports Jul 2, 2018
Second-generation DNA sequencing techniques generate short reads that can result in fragmented genome assemblies. Third-generation sequencing platforms mitigate this limitation by producing longer reads that span across complex and repetitive regions...
Mosquito Vectors Machine Learning Sequence Analysis, DNA Repetitive Sequences, Nucleic Acid Escherichia coli High-Throughput Nucleotide Sequencing Saccharomyces cerevisiae
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Modeling Dengue vector population using remotely sensed data and machine learning.

Acta tropica May 16, 2018
Mosquitoes are vectors of many human diseases. In particular, Aedes ægypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at combating this v...
Aedes Animals Oviposition Humans Remote Sensing Technology Mosquito Vectors Machine Learning Models, Biological Dengue Female
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Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review.

Computers in biology and medicine Jul 1, 2025
Mosquito-borne diseases, such as Yellow fever, Dengue, and Zika, pose a significant global health threat, causing millions of deaths annually. Traditional mosquito identification methods, reliant on expert analysis, are time-consuming and resource-in...
Animals Image Processing, Computer-Assisted Culicidae Mosquito Vectors Humans Machine Learning
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