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Spatial Association between Environmental Factors and Melioidosis in Thailand |
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| รหัสดีโอไอ | |
| Creator | 1. Suwattana Onprasonk 2. Wongsa Laohasiriwong 3. Nattapong Puttanapong |
| Title | Spatial Association between Environmental Factors and Melioidosis in Thailand |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2567 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 17 |
| Journal No. | 1 |
| Page no. | 148-160 |
| Keyword | Remote sensing, Satellite, Melioidosis, Spatial analysis, Thailand |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | Melioidosis, dominant in Southeast Asia and northern Australia, is transmitted to humans and animals upon contact with contaminated soil or water in endemic regions. This research evaluated the correlation between environmental factors and melioidosis incidence in Thailand using data from the National Notifiable Disease Surveillance System (Report 506), managed by Thailand's Ministry of Public Health. Satellite-derived environmental data from 2006 - 2020 was sourced from Google Earth Engine. When aggregated at the provincial level and analyzed using bivariate Local Indicators of Spatial Association (LISA), all environmental factors showed a significant relationship with melioidosis incidence (p < 0.05), predominantly in the Northeast region. Both fixed- and random-effect regression models revealed similar findings: nearly all satellite-derived environmental factors, except for precipitation in the fixed-effect model (p = 0.096), had associations with melioidosis incidence at p < 0.001. Specifically, the indicators of vegetation density, night-time land surface temperature, cropland, and precipitation demonstrated positive regression coefficients, while indices representing drought, water bodies, daytime land surface temperature, and urban areas exhibited negative ones. This suggests a connection between optimal climate conditions, agriculture, and melioidosis occurrence. Such satellite data holds potential for informing future prevention measures. |
