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Simulating the pandemic: What COVID forecasters can learn from climate models

Methods that are routine in computation-heavy fields could lead to more reliable pandemic predictions.
  1. David Adam
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Epidemiologists predicting the spread of COVID-19 should adopt climate-modelling methods to make forecasts more reliable, say computer scientists who have spent months auditing one of the most influential models of the pandemic.

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Nature 587, 533-534 (2020)

doi: https://doi.org/10.1038/d41586-020-03208-1

References

  1. Edeling, W. et al. Preprint at Research Square https://doi.org/10.21203/rs.3.rs-82122/v3 (2020).

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