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...
Main Authors: | Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato |
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Format: | Article |
Language: | English |
Published: |
PAGEPress Publications
2023-05-01
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Series: | Geospatial Health |
Subjects: | |
Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1203 |
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