Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
Applied Network Science, 2020•Springer
At the moment of writing, the future evolution of the COVID-19 epidemic 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 COVID-19 epidemic
in the Hubei province. The network is composed of the cities in Hubei and their interactions
(eg, traffic flow). However, the precise interactions between cities is unknown and must be
inferred from observing the epidemic. We propose the Network-Inference-Based Prediction …
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 COVID-19 epidemic
in the Hubei province. The network is composed of the cities in Hubei and their interactions
(eg, traffic flow). However, the precise interactions between cities is unknown and must be
inferred from observing the epidemic. We propose the Network-Inference-Based Prediction …
Abstract
At the moment of writing, the future evolution of the COVID-19 epidemic 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 COVID-19 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 the Network-Inference-Based Prediction Algorithm (NIPA) to forecast the future prevalence of the COVID-19 epidemic in every city. Our results indicate that NIPA is beneficial for an accurate forecast of the epidemic outbreak.
Springer
以上显示的是最相近的搜索结果。 查看全部搜索结果