Predictors of health and well-being among new French immigrants: Longitudinal, data-driven approach, and machine learning analysis
- DOI
- 10.1177/22799036261462907
- Published
- 2026-07
- Container
- Journal of Public Health Research
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/22799036261462907,
title = {Predictors of health and well-being among new French immigrants: Longitudinal, data-driven approach, and machine learning analysis},
author = {Germano Vera Cruz and Clarice Da Rosa and Yasser Khazaal and Noémie Tronche and Coraline Quenson and Lucas Cauwet and Lonzozou Kpanake},
year = {2026},
journal = {Journal of Public Health Research},
doi = {10.1177/22799036261462907},
url = {https://doi.org/10.1177/22799036261462907}
}RIS
TY - JOUR TI - Predictors of health and well-being among new French immigrants: Longitudinal, data-driven approach, and machine learning analysis AU - Germano Vera Cruz AU - Clarice Da Rosa AU - Yasser Khazaal AU - Noémie Tronche AU - Coraline Quenson AU - Lucas Cauwet AU - Lonzozou Kpanake PY - 2026 JO - Journal of Public Health Research DO - 10.1177/22799036261462907 UR - https://doi.org/10.1177/22799036261462907 ER -
APA
Cruz, G. V., Rosa, C. D., Khazaal, Y., Tronche, N., Quenson, C., Cauwet, L., & Kpanake, L. (2026). Predictors of health and well-being among new French immigrants: Longitudinal, data-driven approach, and machine learning analysis. Journal of Public Health Research. https://doi.org/10.1177/22799036261462907
Source records
- crossref · retrieved 2026-11-10T11:11:46.509Z