Author: Choujun Zhan; Chi K. Tse; Zhikang Lai; Tianyong Hao; Jingjing Su
Title: Prediction of COVID-19 Spreading Profiles in South Korea, Italy and Iran by Data-Driven Coding Document date: 2020_3_10
ID: mr8z65o5_6
Snippet: The travel-data augmented SEIR model [4] describes the spreading dynamics in terms of a basic fourth-order dynamical system with consideration of intercity travel in China. Consider a city j of population P j . The states of the model are the number of susceptible individuals I j (t), the number of exposed individuals (infectious but without symptom) E j (t), the number of infected individuals I j (t), and the number of recovered or removed indiv.....
Document: The travel-data augmented SEIR model [4] describes the spreading dynamics in terms of a basic fourth-order dynamical system with consideration of intercity travel in China. Consider a city j of population P j . The states of the model are the number of susceptible individuals I j (t), the number of exposed individuals (infectious but without symptom) E j (t), the number of infected individuals I j (t), and the number of recovered or removed individuals R j (t). The model takes the following form in discrete time [4] :
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