Landuse Changes Tendency and Environmental Quality Indicators Development for Air and Water Pollutions Monitoring in Chiang Mai Comprehensive Plans Boundary, Thailand
“…Therefore, the differences in the incidences between areas might have been affected by the geographical risk patterns of mortality. The spatial effects of previous studies such as the problem of high air pollution [ 16 , 27 ], a geographical location characterized by high mountains [ 28 – 30 ], and increasing urban growth [ 11 , 31 , 32 ] might have been the reason for the high risk of lung cancer mortality in Chiang Mai province. A considerable number of studies on air pollution monitoring in the northern region of Thailand [ 10 , 14 , 54 ] found that Chiang Mai was not the area with the highest air pollution level in this region, thus it seems that this might not be the only factor in the risk of death from lung cancer.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, urban development has been linked to the occurrence of lung cancer and leading to death [ 31 , 32 ]. The findings in [ 11 ] indicate that the urban growth in Chiang Mai province has had a tendency to increase over time while air quality has simultaneously declined. In addition, the risk patterns of lung cancer mortality have been found to be different geographically between males and females [ 26 , 33 , 34 ].…”
BackgroundOver the past decade, lung cancers have exhibited a disproportionately high mortality and increasing mortality trend in Thailand, especially in the northern region, and prevention strategies have consequently become more important in this region. Spatial analysis studies may be helpful in guiding any strategy put in place to respond to the risk of lung cancer mortality in specific areas. The aim of our study was to identify risk patterns for lung cancer mortality within the northern region of Thailand.MethodsIn the spatial analysis, the relative risk (RR) was used as a measure of the risk of lung cancer mortality in 81 districts of northern Thailand between 2008 and 2017. The RR was estimated according to the Besag-York-Mollié autoregressive spatial model performed using the OpenBUGS routine in the R statistical software package. We presented the overall and gender specific lung cancer mortality risk patterns of the region using the Quantum Geographic Information System.ResultsThe overall risk of lung cancer mortality was the highest in the west of northern Thailand, especially in the Hang Dong, Doi Lo, and San Pa Tong districts. For both genders, the risk patterns of lung cancer mortality indicated a high risk in the west of northern Thailand, with females being at a higher risk than males.ConclusionsThere was distinct geographical variation in risk patterns of lung cancer mortality in Thailand. Differences could be related to differences in risk factors such as ground-based radon and air pollution. This study provides a starting point for estimating the spatial pattern of the risk of lung cancer mortality and for examining associations between geographic risk factors and lung mortality for further studies.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-6025-1) contains supplementary material, which is available to authorized users.
“…Therefore, the differences in the incidences between areas might have been affected by the geographical risk patterns of mortality. The spatial effects of previous studies such as the problem of high air pollution [ 16 , 27 ], a geographical location characterized by high mountains [ 28 – 30 ], and increasing urban growth [ 11 , 31 , 32 ] might have been the reason for the high risk of lung cancer mortality in Chiang Mai province. A considerable number of studies on air pollution monitoring in the northern region of Thailand [ 10 , 14 , 54 ] found that Chiang Mai was not the area with the highest air pollution level in this region, thus it seems that this might not be the only factor in the risk of death from lung cancer.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, urban development has been linked to the occurrence of lung cancer and leading to death [ 31 , 32 ]. The findings in [ 11 ] indicate that the urban growth in Chiang Mai province has had a tendency to increase over time while air quality has simultaneously declined. In addition, the risk patterns of lung cancer mortality have been found to be different geographically between males and females [ 26 , 33 , 34 ].…”
BackgroundOver the past decade, lung cancers have exhibited a disproportionately high mortality and increasing mortality trend in Thailand, especially in the northern region, and prevention strategies have consequently become more important in this region. Spatial analysis studies may be helpful in guiding any strategy put in place to respond to the risk of lung cancer mortality in specific areas. The aim of our study was to identify risk patterns for lung cancer mortality within the northern region of Thailand.MethodsIn the spatial analysis, the relative risk (RR) was used as a measure of the risk of lung cancer mortality in 81 districts of northern Thailand between 2008 and 2017. The RR was estimated according to the Besag-York-Mollié autoregressive spatial model performed using the OpenBUGS routine in the R statistical software package. We presented the overall and gender specific lung cancer mortality risk patterns of the region using the Quantum Geographic Information System.ResultsThe overall risk of lung cancer mortality was the highest in the west of northern Thailand, especially in the Hang Dong, Doi Lo, and San Pa Tong districts. For both genders, the risk patterns of lung cancer mortality indicated a high risk in the west of northern Thailand, with females being at a higher risk than males.ConclusionsThere was distinct geographical variation in risk patterns of lung cancer mortality in Thailand. Differences could be related to differences in risk factors such as ground-based radon and air pollution. This study provides a starting point for estimating the spatial pattern of the risk of lung cancer mortality and for examining associations between geographic risk factors and lung mortality for further studies.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-6025-1) contains supplementary material, which is available to authorized users.
“…Air pollution in Chiang Mai and Northern Thailand has become a hot discussion topic in the past decade and along with that, scientific publications have equally increased. While the subject is already mentioned in publications in the 90s and earlier (Matsushita et al, 1987(Matsushita et al, , 1989Vatanasapt et al, 1993;Koyano et al 1998), it remained a relatively low interest research topic. In 2007, a particularly bad burning season initiated a strong academic interest and in the subsequent years, the number of publications has steadily increased.…”
The mountainous part of northern Thailand is subject to an intense haze episode occurring almost every year between January and May. In the last couple of decades, this atmospheric phenomenon has been extensively covered in the media and is now a main concern for the population living in this area. In this review, we synthesized the information available from hundreds of publications on air pollution in Northern Thailand and surrounding regions. The review is tentatively comprehensive, including physical and chemical characteristics of air pollution, their emission sources and meteorological and climatological factors playing in the onset of haze. The effect on human health, the environment and development of agricultural, conservationist and technological practices is also covered. A significant part also focus on the socio-economical causes and solutions that have been brought by successive governments and organizations to solve this issue.
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