AIMC Topic: Epidemics
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Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism.
Scientific reports
Mar 20, 2025
The outbreak of infectious diseases can have profound impacts on socio-economic balances globally. Accurate short-term forecasting of infectious diseases is crucial for policymakers and healthcare systems. This study proposes a novel deep learning ap...
Artificial intelligence for modelling infectious disease epidemics.
Nature
Feb 19, 2025
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social sci...
Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model.
PLoS computational biology
Jan 9, 2025
Human mobility between different regions is a major factor in large-scale outbreaks of infectious diseases. Deep learning models incorporating infectious disease transmission dynamics for predicting the spread of multi-regional outbreaks due to human...
A Physics-Informed Neural Network approach for compartmental epidemiological models.
PLoS computational biology
Sep 5, 2024
Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forecasts or transmission scenarios, and to assess the impact of vaccination campaigns. However, their ca...
Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.
Journal of epidemiology and global health
Aug 8, 2024
BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponentially recently, which cannot be integrated through traditional systematic review. Our study aims to systematically synthesize the evidence using natu...
Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling.
Epidemics
Jun 24, 2024
Mathematical modeling of epidemic dynamics is crucial to understand its underlying mechanisms, quantify important parameters, and make predictions that facilitate more informed decision-making. There are three major types of models: mechanistic model...
DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction.
PLoS computational biology
Apr 10, 2024
In the midst of an outbreak or sustained epidemic, reliable prediction of transmission risks and patterns of spread is critical to inform public health programs. Projections of transmission growth or decline among specific risk groups can aid in opti...
Hallucinating hallucinogens.
Science (New York, N.Y.)
Nov 9, 2023
Fighting the designer drug epidemic with generative AI.
Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection.
Scientific reports
Sep 23, 2023
Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted increasing att...
Application of image processing and transfer learning for the detection of rust disease.
Scientific reports
Mar 29, 2023
Plant diseases introduce significant yield and quality losses to the food production industry, worldwide. Early identification of an epidemic could lead to more effective management of the disease and potentially reduce yield loss and limit excessive...
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