An interpretable machine learning model integrating mucosal and cellular immunity to predict SARS-CoV-2 reinfection: a multicenter cohort study.

Ran J, Zhang W, Zhang W, Huang H, Gong L, Yin S, Chen Y, Wang A, Min H, Zhu L, Chu J, Qin Y, Huang R, Wu C, Chen Y

Open source

DOI
10.1080/22221751.2026.2746253
Published
2026 Dec
Container
Emerging microbes & infections
Publisher
Taylor & Francis
Open access
yes

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BibTeX

@article{allodium:10.1080/22221751.2026.2746253,
  title = {An interpretable machine learning model integrating mucosal and cellular immunity to predict SARS-CoV-2 reinfection: a multicenter cohort study.},
  author = {Ran J and Zhang W and Zhang W and Huang H and Gong L and Yin S and Chen Y and Wang A and Min H and Zhu L and Chu J and Qin Y and Huang R and Wu C and Chen Y},
  year = {2026},
  journal = {Emerging microbes \& infections},
  doi = {10.1080/22221751.2026.2746253},
  url = {https://doi.org/10.1080/22221751.2026.2746253}
}

RIS

TY  - JOUR
TI  - An interpretable machine learning model integrating mucosal and cellular immunity to predict SARS-CoV-2 reinfection: a multicenter cohort study.
AU  - Ran J
AU  - Zhang W
AU  - Zhang W
AU  - Huang H
AU  - Gong L
AU  - Yin S
AU  - Chen Y
AU  - Wang A
AU  - Min H
AU  - Zhu L
AU  - Chu J
AU  - Qin Y
AU  - Huang R
AU  - Wu C
AU  - Chen Y
PY  - 2026
JO  - Emerging microbes & infections
DO  - 10.1080/22221751.2026.2746253
UR  - https://doi.org/10.1080/22221751.2026.2746253
ER  -

APA

J, R., W, Z., W, Z., H, H., L, G., S, Y., Y, C., A, W., H, M., L, Z., J, C., Y, Q., R, H., C, W., & Y, C. (2026). An interpretable machine learning model integrating mucosal and cellular immunity to predict SARS-CoV-2 reinfection: a multicenter cohort study.. Emerging microbes & infections. https://doi.org/10.1080/22221751.2026.2746253

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