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Spatial Analysis of Nasopharyngeal Cancer Incidence and Its Association with Air Pollutants and Environmental Factors in Northeastern Thailand |
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| รหัสดีโอไอ | |
| Creator | Kavin Thinkhamrop |
| Title | Spatial Analysis of Nasopharyngeal Cancer Incidence and Its Association with Air Pollutants and Environmental Factors in Northeastern Thailand |
| Contributor | Suwimol Dobut, Apiporn T. Suwannatrai, Mick Soukavong, Kavin Thinkhamrop |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2569 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 19 |
| Journal No. | 1 |
| Page no. | 18-31 |
| Keyword | Nasopharyngeal cancer, Air pollutants, Environmental factor, Spatial analysis, Northeast, Thailand |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | Nasopharyngeal cancer (NPC) is highly prevalent in Asia, particularly in southern China,Hong Kong, and Southeast Asia. In Thailand, it is the second most common head and neckcancer after oral cancer and ranks seventh among Thai males, accounting for 3.1% of all cancers.Despite its public health importance, studies on NPC incidence in Thailand remain limited.This study investigated spatial clustering patterns and environmental determinants of NPCincidence in the upper and central northeastern regions of Thailand. The study applied globalMoran’s I to assess spatial autocorrelation and spatial regression models (spatial lag and spatialerror) to examine associations between NPC incidence and environmental exposures. Data werecollected from three major hospitals between 2013 and 2022, covering NPC cases from boththe upper and central parts of the region. A total of 2,545 NPC cases were reported, with anincidence rate of 1.21 per 100,000 population. Global Moran’s I indicated moderate positivespatial autocorrelation (I = 0.296, p < 0.001), identifying significant high-risk clusters in nearlyall sub-districts of Khon Kaen Province, located in the central part of northeastern Thailand.The spatial regression model revealed a positive associations between NPC incidence and thefollowing factors: Particulate matter diameter equal or less than 2.5 micron; PM2.5 (coefficient= 0.185; 95% CI: 0.126-0.243), daytime land surface temperature (DLST) (coefficient = 0.160;95% CI: 0.042-0.278), and the number of industrial factories (coefficient = 0.060; 95% CI: 0.040- 0.080), while precipitation shows a significant negative association (coefficient = -0.04; 95%Cl: -0.001 to -0.079). NPC incidence was higher in areas with elevated PM2.5, higher DLST,and greater industrial activity, whereas areas with higher precipitation showed lower incidence.These findings underscore the need for targeted spatially informed public health interventionsto enhance healthcare access and reduce disease burden in high-risk areas. |
