Código QR (código de barras bidimensional)

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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Principais autores: Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
Formato: Artigo
Idioma:Inglês
Publicado em: PAGEPress Publications 2023-05-01
coleção:Geospatial Health
Assuntos:
chronic respiratory diseases
northern region
socio-demographic factors
spatial analysis
Thailand
Acesso em linha:https://geospatialhealth.net/index.php/gh/article/view/1203
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