Bayesian Shared Component Spatial Modeling for Assessing the Shared and Age Group-Specific Mental Health Disorder Risk of Young and Old Age Groups: A Case Study of Toronto Neighborhoods, Canada

Bayesian Shared Component Spatial Modeling for Assessing the Shared and Age Group-Specific Mental Health Disorder Risk of Young and Old Age Groups: A Case Study of Toronto Neighborhoods, Canada

Mental health disorder risks of young and old age groups hold considerable importance for understanding present and future risk burdens. However, assessing mental health risks is significantly constrained by the influence of shared and age group-specific spatial processes and risk factors. Therefore...

Full description

Bibliographic Details
Main Authors: Abu Yousuf Md Abdullah, Jane Law
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Bayesian
shared component spatial modeling
risk assessment
mental health disorders
young and old age groups
neighborhoods
Online Access:https://www.mdpi.com/2220-9964/13/3/75

Internet

https://www.mdpi.com/2220-9964/13/3/75

Similar Items