Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.
- DOI
- 10.1016/j.ijid.2026.108528
- Published
- 2026 May
- Container
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijid.2026.108528,
title = {Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.},
author = {Tang X and Memedi M and Sun S and Hiyoshi A and Montgomery S and Cao Y},
year = {2026},
journal = {International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases},
doi = {10.1016/j.ijid.2026.108528},
url = {https://doi.org/10.1016/j.ijid.2026.108528}
}RIS
TY - JOUR TI - Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries. AU - Tang X AU - Memedi M AU - Sun S AU - Hiyoshi A AU - Montgomery S AU - Cao Y PY - 2026 JO - International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases DO - 10.1016/j.ijid.2026.108528 UR - https://doi.org/10.1016/j.ijid.2026.108528 ER -
APA
X, T., M, M., S, S., A, H., S, M., & Y, C. (2026). Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases. https://doi.org/10.1016/j.ijid.2026.108528
Source records
- pubmed · retrieved 2026-09-26T04:17:08.452Z