How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method

How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method

Abstract Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple big public health data with modern statis...

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Bibliographic Details
Main Authors: Kurubaran Ganasegeran, Mohd Rizal Abdul Manaf, Nazarudin Safian, Lance A. Waller, Feisul Idzwan Mustapha, Khairul Nizam Abdul Maulud, Muhammad Faid Mohd Rizal
Format: Article
Language:English
Published: Springer 2024-02-01
Series:Journal of Epidemiology and Global Health
Subjects:
Epidemiology
Cluster analysis
Socio-economic inequalities
Social determinants of health
Population indicators
Public health
Online Access:https://doi.org/10.1007/s44197-023-00185-2

Internet

https://doi.org/10.1007/s44197-023-00185-2

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