Spatial bayesian modeling of diabetes mellitus (DM) risk in the United States

Authors

Kadae Phimia
Moses Asori (ORCID: https://orcid.org/0000-0002-1438-4020)
Deborah S.K. Thomas (ORCID: https://orcid.org/0000-0002-9594-9790)
Eric Dellmelle

Institutions

University of North Carolina at Charlotte (US)
Vrije Universiteit Brussel (BE)
Lehigh University (US)

Publication Details

Journal: BMC Public Health
Published: 2025-11-22
DOI: https://doi.org/10.1186/s12889-025-25622-8
Primary Topic: Statistical Methods and Bayesian Inference
Type: article
Field-Weighted Citation Impact: 0.00

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article

Spatial bayesian modeling of diabetes mellitus (DM) risk in the United States

Kadae Phimia, Moses Asori, Deborah S.K. Thomas, Eric Dellmelle

Nov 22, 2025

BMC Public Health

Statistical Methods and Bayesian Inference

article

Spatial bayesian modeling of diabetes mellitus (DM) risk in the United States

Kadae Phimia, Moses Asori, Deborah S.K. Thomas, Eric Dellmelle

November 22, 2025article en

Abstract

No abstract available for this paper.

BMC Public HealthVol. 25(1)

University of North Carolina at Charlotte (US), Vrije Universiteit Brussel (BE), Lehigh University (US)

Openalex Percentile: Top 67%

Statistical Methods and Bayesian Inference

DOI Open Access PDF OpenAlex

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Spatial bayesian modeling of diabetes mellitus (DM) risk in the United States — Kadae Phimia, Moses Asori, et al. · BMC Public Health (2025) | TGRS Research Map | TGRS