A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs

This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics. Understanding how people move during epidemics is essential for modeling the spread of diseases and d...

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Hauptverfasser:	Mayemba, Christian N, Nkashama, D'Jeff K, Tshimula, Jean Marie, Dialufuma, Maximilien V, Muabila, Jean Tshibangu, Didier, Mbuyi Mukendi, Kanda, Hugues, Galekwa, René Manassé, Fita, Heber Dibwe, Mundele, Serge, Kalala, Kalonji, Ilunga, Aristarque, Ntobo, Lambert Mukendi, Muteba, Dominique, Abedi, Aaron Aruna
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning
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