Detecting high-risk neighborhoods and socioeconomic determinants for common oral diseases in Germany

Detecting high-risk neighborhoods and socioeconomic determinants for common oral diseases in Germany

Abstract Background Ideally, health services and interventions to improve dental health should be tailored to local target populations. But this is not the standard. Little is known about risk clusters in dental health care and their evaluation based on small-scale, spatial data, particularly among...

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Bibliographic Details
Main Authors: Sebastian Völker, Antje van der Zee-Neuen, Alexander Rinnert, Jessica Hanneken, Tim Johansson
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Oral Health
Subjects:
Spatial cluster analysis
Incidence rate
Socioeconomic determinants of health
Dental health
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1186/s12903-024-03897-4

Internet

https://doi.org/10.1186/s12903-024-03897-4

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