Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

Yu J, Yu H, Wang Y, Zeng Q

DOI: 10.1016/j.idm.2025.12.021
Published: 2026 Sep
Container: Infectious Disease Modelling
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.idm.2025.12.021,
  title = {Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.},
  author = {Yu J and Yu H and Wang Y and Zeng Q},
  year = {2026},
  journal = {Infectious Disease Modelling},
  doi = {10.1016/j.idm.2025.12.021},
  url = {https://doi.org/10.1016/j.idm.2025.12.021}
}

RIS

TY  - JOUR
TI  - Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.
AU  - Yu J
AU  - Yu H
AU  - Wang Y
AU  - Zeng Q
PY  - 2026
JO  - Infectious Disease Modelling
DO  - 10.1016/j.idm.2025.12.021
UR  - https://doi.org/10.1016/j.idm.2025.12.021
ER  -

APA

J, Y., H, Y., Y, W., & Q, Z. (2026). Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.. Infectious Disease Modelling. https://doi.org/10.1016/j.idm.2025.12.021

Source records

pubmed · retrieved 2026-09-25T19:50:34.065Z