@inproceedings{edwards2023getting,
  title={Getting Local and Personal: Toward Building a Predictive Model for COVID in Three United States Cities},
  author={Edwards, April and Metcalf, Leigh and Casey, William A and Chatterjee, Shirshendu and Janwa, Heeralal and Battifarano, Ernest},
  booktitle={Proceedings of International Conference on Information Technology-New Generations},
  pages={11--18},
  year={2023},
  publisher={Springer International Publishing},
address={Cham},
isbn={978-3-031-28332-1},
ISSN = {2194-5365},
  url = {http://dx.doi.org/10.1007/978-3-031-28332-1_2},
  DOI = {10.1007/978-3-031-28332-1_2},
keywords={COVID-19 pandemic; feature selection; granger causality; machine learning features; natural language processing; pearson correlation; predictive modeling; regression analysis; social media mining; Twitter replies}
}