Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico.

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Bibliographic Details
Title: Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico.
Authors: Colombo-Mendoza LO; Tecnológico Nacional de México/I.T.S. de Teziutlán, Teziutlán, Puebla, Mexico. Electronic address: luis.cm@teziutlan.tecnm.mx., Villalobos-Espinosa JDC; Tecnológico Nacional de México/I.T.S. de Teziutlán, Teziutlán, Puebla, Mexico., Beltrán-Naturi E; Universidad Autónoma de Chiapas, Facultad de Contaduría y Administración Campus I, Tuxtla Gutiérrez, Chiapas, Mexico.
Source: International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [Int J Infect Dis] 2026 Jun; Vol. 167, pp. 108666. Date of Electronic Publication: 2026 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Canada NLM ID: 9610933 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-3511 (Electronic) Linking ISSN: 12019712 NLM ISO Abbreviation: Int J Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-3511
DOI:10.1016/j.ijid.2026.108666