Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico
- DOI
- 10.1016/j.ijid.2026.108666
- Published
- 2026-06
- Container
- International Journal of Infectious Diseases
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijid.2026.108666,
title = {Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico},
author = {Luis Omar Colombo-Mendoza and Julieta del Carmen Villalobos-Espinosa and Elías Beltrán-Naturi},
year = {2026},
journal = {International Journal of Infectious Diseases},
doi = {10.1016/j.ijid.2026.108666},
url = {https://doi.org/10.1016/j.ijid.2026.108666}
}RIS
TY - JOUR TI - Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico AU - Luis Omar Colombo-Mendoza AU - Julieta del Carmen Villalobos-Espinosa AU - Elías Beltrán-Naturi PY - 2026 JO - International Journal of Infectious Diseases DO - 10.1016/j.ijid.2026.108666 UR - https://doi.org/10.1016/j.ijid.2026.108666 ER -
APA
Colombo-Mendoza, L. O., Villalobos-Espinosa, J. D. C., & Beltrán-Naturi, E. (2026). Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico. International Journal of Infectious Diseases. https://doi.org/10.1016/j.ijid.2026.108666
Source records
- crossref · retrieved 2026-09-25T09:13:47.595Z