Artificial Intelligence for Infectious Disease Dynamics
• 大类 : 医学 - 2区
• 小类 : 传染病学 - 3区
This special issue aims to highlight the role AI can play in the study of infectious disease dynamics. The Special Issue accepts research on the application of AI methods to infectious disease dynamic problems (e.g. to improve inference/performance, to leverage novel data sources, ...).
Joseph Lemaitre, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Justin Lessler, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kathy Leung, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.
Moritz Kraemer, Oxford Martin School, University of Oxford, Oxford, United Kingdom.
Special issue information:
In recent years, substantial advances in “artificial intelligence” (AI), particularly deep learning and neuralnetworks, have opened new possibilities across multiple scientific domains. This special issue aims to highlight the role AI can play in the study of infectious disease dynamics. This includes understanding how these methods can improve inference and prediction through new methodologies and by unlocking access to underused data sets. We understand artificial intelligence in its broader sense, comprising machine learning and other recent advances in statistical and computational methods.We anticipate that topics would cover (but not be restricted to):
Using AI to improve inference for dynamical infectious disease models
Scaling up: big data and large-scale computing in epidemiological analyses
Explainability and interpretability of AI models for public-health decision-making
Integrating novel data sources such as genomic, environmental, and healthcare records
Uses of AI in disease forecasting and early warning systems
Automatic differentiation for model inference and optimization
Methods for the optimal design of interventions and surveillance
Creating surrogate models using deep learning methods
Uses of AI for genomics