@article{modellingcovid19pandemicdynamicsusing,
  title = {Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives},
  author = {Hua-Liang Wei and S. A. Billings},
  year = {2021},
  eprint = {2111.01763},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2111.01763v1},
}