A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.

Ni Y, Lu Y, Jing F, Wang Q, Xie Y, He X, Wu D, Tan RKJ, Tucker JD, Yan X, Ong JJ, Zhang Q, Jiang H, Dai W, Huang L, Mei W, Zhou Y, Tang W

Open source

DOI
10.2196/50656
Published
2024 Apr 24
Container
JMIR public health and surveillance
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/50656,
  title = {A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.},
  author = {Ni Y and Lu Y and Jing F and Wang Q and Xie Y and He X and Wu D and Tan RKJ and Tucker JD and Yan X and Ong JJ and Zhang Q and Jiang H and Dai W and Huang L and Mei W and Zhou Y and Tang W},
  year = {2024},
  journal = {JMIR public health and surveillance},
  doi = {10.2196/50656},
  url = {https://doi.org/10.2196/50656}
}

RIS

TY  - JOUR
TI  - A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.
AU  - Ni Y
AU  - Lu Y
AU  - Jing F
AU  - Wang Q
AU  - Xie Y
AU  - He X
AU  - Wu D
AU  - Tan RKJ
AU  - Tucker JD
AU  - Yan X
AU  - Ong JJ
AU  - Zhang Q
AU  - Jiang H
AU  - Dai W
AU  - Huang L
AU  - Mei W
AU  - Zhou Y
AU  - Tang W
PY  - 2024
JO  - JMIR public health and surveillance
DO  - 10.2196/50656
UR  - https://doi.org/10.2196/50656
ER  - 

APA

Y, N., Y, L., F, J., Q, W., Y, X., X, H., D, W., RKJ, T., JD, T., X, Y., JJ, O., Q, Z., H, J., W, D., L, H., W, M., Y, Z., & W, T. (2024). A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.. JMIR public health and surveillance. https://doi.org/10.2196/50656

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