Development of a new cancer atlas in Lower Saxony using Bayesian smoothing methods

Introduction: Lower Saxony comprises nine metropolitan areas and numerous sparsely populated regions. Approximately 75% of the population live in small town (<50,000 inhabitants), suburban, and rural areas [ref:1]. Cancer burden can vary over small geographical areas, given different [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds013
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a new cancer atlas in Lower Saxony using Bayesian smoothing methods

German Medical Science (German Research Foundation)
Data-Driven Disease Surveillance
article

Development of a new cancer atlas in Lower Saxony using Bayesian smoothing methods

article en

Abstract

Introduction: Lower Saxony comprises nine metropolitan areas and numerous sparsely populated regions. Approximately 75% of the population live in small town (<50,000 inhabitants), suburban, and rural areas [ref:1]. Cancer burden can vary over small geographical areas, given different [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Carl von Ossietzky Universität Oldenburg (DE), Oldenburger Institut für Informatik (DE), Niedersächsisches Landesgesundheitsamt (DE), Krebsregister Saarland (DE)
Sustainable cities and communities
Openalex Percentile: Top 36%
Data-Driven Disease Surveillance
DOIOpen Access PDFOpenAlex
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