Targeting the spatial context of obesity determinants via multiscale geographically weighted regression

Background Obesity rates are recognized to be at epidemic levels throughout much of the world, posing significant threats to both the health and financial security of many nations. The causes of obesity can vary but are often complex and multifactorial, and while many contributing factors can be tar...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of health geographics Vol. 19; no. 1; pp. 11 - 17
Main Authors:	Oshan, Taylor M., Smith, Jordan P., Fotheringham, A. Stewart
Format:	Journal Article
Language:	English
Published:	London BioMed Central 05.04.2020 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Analysis Arizona - epidemiology Degrees of freedom Epidemiology Estimates Geographic Information Systems GWR Health Informatics Health Promotion and Disease Prevention Human Geography Humans Hypotheses Least-Squares Analysis Medical Geography Medicine Medicine & Public Health Metropolitan areas Models, Theoretical Multiscale Obesity Obesity - epidemiology Public Health Regression analysis Spatial analysis Spatial epidemiology Spatial Regression Studies Urban health Arizona Obesity Spatial epidemiology GWR Urban health Multiscale
ISSN:	1476-072X, 1476-072X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!