Corpus ID: 221172745

Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries

@article{Barmparis2020PhysicsinformedML,
  title={Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries},
  author={G. D. Barmparis and G. Tsironis},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.08162}
}
The spread of COVID-19 during the initial phase of the first half of 2020 was curtailed to a larger or lesser extent through measures of social distancing imposed by most countries. In this work, we link directly, through machine learning techniques, infection data at a country level to a single number that signifies social distancing effectiveness. We assume that the standard SIR model gives a reasonable description of the dynamics of spreading, and thus the social distancing aspect can be… Expand

References

SHOWING 1-7 OF 7 REFERENCES