Corpus ID: 221739057

High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S

@article{Zhu2020HighresolutionSM,
  title={High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S},
  author={Shixiang Zhu and Alexander Bukharin and Liyan Xie and Mauricio Santillana and Shihao Yang and Yao Xie},
  journal={arXiv: Applications},
  year={2020}
}
We present an interpretable high-resolution spatio-temporal model to estimate COVID-19 deaths together with confirmed cases one-week ahead of the current time, at the county-level and weekly aggregated, in the United States. A notable feature of our spatio-temporal model is that it considers the (a) temporal auto- and pairwise correlation of the two local time series (confirmed cases and death of the COVID-19), (b) dynamics between locations (propagation between counties), and (c) covariates… Expand

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