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. 2021 Feb 19;10(2):giab009. doi: 10.1093/gigascience/giab009

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© The Author(s) 2021. Published by Oxford University Press GigaScience.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1: — The 1-month forecasting of new daily confirmed COVID-19 cases in the USA made by the (a) GRC and (b) SIR model under the proposed Bayesian framework, as well as the benchmark (c) ARIMA model. The black circles represent the observed COVID-19 case numbers since early March 2020, while the colored circles and ribbons represent the predicted means and prediction intervals, respectively.

Inline graphic — The 1-month forecasting of new daily confirmed COVID-19 cases in the USA made by the (a) GRC and (b) SIR model under the proposed Bayesian framework, as well as the benchmark (c) ARIMA model. The black circles represent the observed COVID-19 case numbers since early March 2020, while the colored circles and ribbons represent the predicted means and prediction intervals, respectively.