Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

Chronic respiratory diseases (CRDs) constitute 4% of the global disease burden and cause 4 million deaths annually. This cross-sectional study used QGIS and GeoDa to explore the spatial pattern and heterogeneity of CRDs morbidity and spatial autocorrelation between socio-demographic factors and CRD...

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Bibliographic Details
Main Authors: Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
Format: Article
Language:English
Published: PAGEPress Publications 2023-05-01
Series:Geospatial Health
Subjects:
chronic respiratory diseases
northern region
socio-demographic factors
spatial analysis
Thailand
Online Access:https://geospatialhealth.net/index.php/gh/article/view/1203

Internet

https://geospatialhealth.net/index.php/gh/article/view/1203

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