• DOI:10.2139/ssrn.3675213
Corpus ID: 221135931

A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China

@article{Oka2020ASS,
  title={A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China},
  author={T. Oka and W. Wei and Dan Zhu},
  journal={arXiv: Populations and Evolution},
  year={2020}
}

T. Oka, W. Wei, Dan Zhu

Published 2020

Geography, Biology, Economics, Physics, Mathematics

arXiv: Populations and Evolution

Governments around the world have implemented preventive measures against the spread of the coronavirus disease (COVID-19). In this study, we consider a multivariate discrete-time Markov model to analyze the propagation of COVID-19 across 33 provincial regions in China. This approach enables us to evaluate the effect of mobility restriction policies on the spread of the disease. We use data on daily human mobility across regions and apply the Bayesian framework to estimate the proposed model… CONTINUE READING

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