Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning.
- DOI
- 10.1177/23814683231222469
- Published
- 2024 Jan-Jun
- Container
- MDM policy & practice
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/23814683231222469,
title = {Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning.},
author = {Malloy GSP and Puglisi LB and Bucklen KB and Harvey TD and Wang EA and Brandeau ML},
year = {2024},
journal = {MDM policy \& practice},
doi = {10.1177/23814683231222469},
url = {https://doi.org/10.1177/23814683231222469}
}RIS
TY - JOUR TI - Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning. AU - Malloy GSP AU - Puglisi LB AU - Bucklen KB AU - Harvey TD AU - Wang EA AU - Brandeau ML PY - 2024 JO - MDM policy & practice DO - 10.1177/23814683231222469 UR - https://doi.org/10.1177/23814683231222469 ER -
APA
GSP, M., LB, P., KB, B., TD, H., EA, W., & ML, B. (2024). Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning.. MDM policy & practice. https://doi.org/10.1177/23814683231222469
Source records
- pubmed · retrieved 2026-09-25T14:59:12.822Z