Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

Spatial pattern detection can be a useful tool for understanding the geographical distribution of hypertension (HT). The aim of this study was to apply the technique of local indicators of spatial association statistics to examine the spatial patterns of HT in the 76 provinces of Thailand. Previous...

Full description

Bibliographic Details
Main Authors: Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang
Format: Article
Language:English
Published: PAGEPress Publications 2018-05-01
Series:Geospatial Health
Subjects:
Online Access:http://geospatialhealth.net/index.php/gh/article/view/608
id doaj-eec6c6884ed64c4c9b264231ee929c61
record_format Article
spelling doaj-eec6c6884ed64c4c9b264231ee929c612020-11-25T01:49:42ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962018-05-0113110.4081/gh.2018.608453Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysisWongsa Laohasiriwong0Nattapong Puttanapong1Atthawit Singsalasang2Faculty of Public Health and Research and Training Center for Enhancing Quality of Life for Working Age People, Khon Kaen University, Khon KaenFaculty of Economics, Thammasat University, BangkokFaculty of Public Health, Khon Kaen University, Khon KaenSpatial pattern detection can be a useful tool for understanding the geographical distribution of hypertension (HT). The aim of this study was to apply the technique of local indicators of spatial association statistics to examine the spatial patterns of HT in the 76 provinces of Thailand. Previous studies have demonstrated that socioeconomic status (SES), economic growth, population density and urbanization have effects on the occurrence of disease. Research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, economic growth and SES. To date, there has not been any study on spatial patterns of HT and there is no information on how NTL might correlate with HT. Therefore, this study has investigated NTL as a parameter for detection of hotspots of HT in Thailand. It was found that HT clusters occurred in Bangkok and in metropolitan areas. In addition, significantly low-rate clusters were seen in some provinces in the Northeast and also in southern provinces. These findings should facilitate control and prevention of HT and, therefore, serve as support for researchers, decision-makers, academics and public health officials to propose more sound and effective strategies for the control of HT in Thailand and elsewhere.http://geospatialhealth.net/index.php/gh/article/view/608HypertensionLocal indices of spatial associationNighttime lightThailand.
collection DOAJ
language English
format Article
sources DOAJ
author Wongsa Laohasiriwong
Nattapong Puttanapong
Atthawit Singsalasang
spellingShingle Wongsa Laohasiriwong
Nattapong Puttanapong
Atthawit Singsalasang
Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
Geospatial Health
Hypertension
Local indices of spatial association
Nighttime light
Thailand.
author_facet Wongsa Laohasiriwong
Nattapong Puttanapong
Atthawit Singsalasang
author_sort Wongsa Laohasiriwong
title Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
title_short Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
title_full Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
title_fullStr Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
title_full_unstemmed Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
title_sort prevalence of hypertension in thailand: hotspot clustering detected by spatial analysis
publisher PAGEPress Publications
series Geospatial Health
issn 1827-1987
1970-7096
publishDate 2018-05-01
description Spatial pattern detection can be a useful tool for understanding the geographical distribution of hypertension (HT). The aim of this study was to apply the technique of local indicators of spatial association statistics to examine the spatial patterns of HT in the 76 provinces of Thailand. Previous studies have demonstrated that socioeconomic status (SES), economic growth, population density and urbanization have effects on the occurrence of disease. Research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, economic growth and SES. To date, there has not been any study on spatial patterns of HT and there is no information on how NTL might correlate with HT. Therefore, this study has investigated NTL as a parameter for detection of hotspots of HT in Thailand. It was found that HT clusters occurred in Bangkok and in metropolitan areas. In addition, significantly low-rate clusters were seen in some provinces in the Northeast and also in southern provinces. These findings should facilitate control and prevention of HT and, therefore, serve as support for researchers, decision-makers, academics and public health officials to propose more sound and effective strategies for the control of HT in Thailand and elsewhere.
topic Hypertension
Local indices of spatial association
Nighttime light
Thailand.
url http://geospatialhealth.net/index.php/gh/article/view/608
work_keys_str_mv AT wongsalaohasiriwong prevalenceofhypertensioninthailandhotspotclusteringdetectedbyspatialanalysis
AT nattapongputtanapong prevalenceofhypertensioninthailandhotspotclusteringdetectedbyspatialanalysis
AT atthawitsingsalasang prevalenceofhypertensioninthailandhotspotclusteringdetectedbyspatialanalysis
_version_ 1725005450609426432