Bayesian Model Averaging with Change Points to Assess the Impact of Vaccination and Public Health Interventions

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dc.contributor.authorEsra Kürüm
dc.contributor.authorJoshua L. Warren
dc.contributor.authorCynthia Schuck‐Paim
dc.contributor.authorRoger Lustig
dc.contributor.authorJoseph A. Lewnard
dc.contributor.authorRodrigo Fuentes
dc.contributor.authorChristian Bruhn
dc.contributor.authorRobert J. Taylor
dc.contributor.authorLone Simonsen
dc.contributor.authorDaniel M. Weinberger
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:15:25Z
dc.date.available2026-03-22T14:15:25Z
dc.date.issued2017
dc.descriptionCitaciones: 22
dc.description.abstractOur approach provides a flexible and sensitive method to detect changes in disease incidence that occur after the introduction of a vaccine or other intervention, while avoiding biases that exist in current approaches to time-trend analyses.
dc.identifier.doi10.1097/ede.0000000000000719
dc.identifier.urihttps://doi.org/10.1097/ede.0000000000000719
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/45450
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofEpidemiology
dc.sourceYale New Haven Health System
dc.subjectPneumococcal conjugate vaccine
dc.subjectMedicine
dc.subjectPneumococcal disease
dc.subjectVaccination
dc.subjectPneumonia
dc.subjectPneumococcal pneumonia
dc.subjectDisease
dc.subjectPneumococcal infections
dc.subjectIncidence (geometry)
dc.subjectPsychological intervention
dc.titleBayesian Model Averaging with Change Points to Assess the Impact of Vaccination and Public Health Interventions
dc.typearticle

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