AIMC Topic: Vector Borne Diseases
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Deep learning in disease vector image identification.
Pest management science
Oct 18, 2024
Vector-borne diseases (VBDs) represent a critical global public health concern, with approximately 80% of the world's population at risk of one or more VBD. Manual disease vector identification is time-consuming and expert-dependent, hindering diseas...
Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis.
PeerJ
Mar 1, 2024
Mosquito-borne diseases (MBDs) are a major threat worldwide, and public consultation on these diseases is critical to disease control decision-making. However, traditional public surveys are time-consuming and labor-intensive and do not allow for tim...
Artificial intelligence (AI): a new window to revamp the vector-borne disease control.
Parasitology research
Dec 14, 2022
Artificial intelligence (AI) facilitates scientists to devise intelligent machines that work and behave like humans to resolve difficulties and problems by utilizing minimal resources. The Healthcare sector has benefited due to this. Mosquito-transmi...
Aedes-AI: Neural network models of mosquito abundance.
PLoS computational biology
Nov 19, 2021
We present artificial neural networks as a feasible replacement for a mechanistic model of mosquito abundance. We develop a feed-forward neural network, a long short-term memory recurrent neural network, and a gated recurrent unit network. We evaluat...
Competency of Neural Networks for the Numerical Treatment of Nonlinear Host-Vector-Predator Model.
Computational and mathematical methods in medicine
Oct 4, 2021
The aim of this work is to introduce a stochastic solver based on the Levenberg-Marquardt backpropagation neural networks (LMBNNs) for the nonlinear host-vector-predator model. The nonlinear host-vector-predator model is dependent upon five classes, ...
Dynamical footprints enable detection of disease emergence.
PLoS biology
May 20, 2020
Developing methods for anticipating the emergence or reemergence of infectious diseases is both important and timely; however, traditional model-based approaches are stymied by uncertainty surrounding the underlying drivers. Here, we demonstrate an o...
An exploration of current and future vector-borne disease threats and opportunities for change.
Frontiers in public health
Jan 1, 2025
Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the world's population, particularly in tropical and subtropical regions. Environmental, ecological, climatic, and socio-economic factors are expected to driv...
Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Dengue fever is rapidly becoming Malaysia's most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling ...
Drones against vector-borne diseases.
Science robotics
Jun 15, 2020
Uncrewed aerial vehicles can reduce the cost of preventative measures against vector-borne diseases.
Field performance of sterile male mosquitoes released from an uncrewed aerial vehicle.
Science robotics
Jun 15, 2020
Genetic control methods of mosquito vectors of malaria, dengue, yellow fever, and Zika are becoming increasingly popular due to the limitations of other techniques such as the use of insecticides. The sterile insect technique is an effective genetic ...
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