Selected article for: "Hubei province and traffic flow"
Author: Prasse, Bastian; Achterberg, Massimo A.; Ma, Long; Mieghem, Piet Van
Title: Network-Based Prediction of the 2019-nCoV Epidemic Outbreak in the Chinese Province Hubei
  • Cord-id: 5uvv46mi
  • Document date: 2020_2_11
    • ID: 5uvv46mi
    Snippet: At the moment of writing (12 February, 2020), the future evolution of the 2019-nCoV virus is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the 2019-nCoV epidemic in the Hubei province. The network is composed of the cities in Hubei and their interactions (e.g., traffic flow). However, the precise interactions between cities is unknown and must be inferred from observing the epidem
    Document: At the moment of writing (12 February, 2020), the future evolution of the 2019-nCoV virus is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the 2019-nCoV epidemic in the Hubei province. The network is composed of the cities in Hubei and their interactions (e.g., traffic flow). However, the precise interactions between cities is unknown and must be inferred from observing the epidemic. We propose a network-based method to predict the future prevalence of the 2019-nCoV virus in every city. Our results indicate that network-based modelling is beneficial for an accurate forecast of the epidemic outbreak.

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