Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile

• Gloria A. Aguayo ,

  Roles Conceptualization, Funding acquisition, Methodology, Project administration, Validation, Writing – original draft

  * E-mail: gloria.aguayo@lih.lu

  Affiliation Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg

  http://orcid.org/0000-0002-5625-1664

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• Anna Schritz,

  Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliation Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg

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• Maria Ruiz-Castell,

  Roles Methodology, Writing – review & editing

  Affiliation Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg

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• Luis Villarroel,

  Roles Data curation, Methodology, Writing – review & editing

  Affiliation Department of Public Health, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

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• Gonzalo Valdivia,

  Roles Conceptualization, Data curation, Validation, Writing – review & editing

  Affiliation Department of Public Health, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

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• Guy Fagherazzi,

  Roles Conceptualization, Supervision, Validation, Writing – review & editing

  Affiliation Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg

  http://orcid.org/0000-0001-5033-5966

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• Daniel R. Witte,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliations Department of Public Health, Aarhus University, Aarhus, Denmark, Danish Diabetes Academy, Odense, Denmark

  http://orcid.org/0000-0002-0769-2922

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• Andrew Lawson

  Roles Formal analysis, Methodology, Supervision, Validation, Visualization, Writing – review & editing

  Affiliation Department of Public Health Sciences, Medical University of South Carolina, South Carolina, Charleston, United States of America

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