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Spatial Association between Environmental Factors and Dengue Shock Syndrome in Endemic Area of Lao PDR |
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| รหัสดีโอไอ | |
| Creator | Kavin Thinkhamrop |
| Title | Spatial Association between Environmental Factors and Dengue Shock Syndrome in Endemic Area of Lao PDR |
| Contributor | Mick Soukavong, Apiporn T. Suwannatrai, Matthew Kelly |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2568 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 18 |
| Journal No. | 1 |
| Page no. | 174-187 |
| Keyword | Dengue shock syndrome, Spatial analysis, Lao PDR, Climate factors, Vector-borne diseases, Environmental determinants |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | Dengue fever remains a pressing health issue in many tropical and subtropical regions,with Lao People's Democratic Republic (Lao PDR) facing recurring outbreaks that signifi cantlyimpact public health. Dengue shock syndrome (DSS), a life-threatening complication, is ofparticular concern due to its severe symptoms and potential fatality. This study investigatedthe spatial patterns and environmental determinants of DSS incidence in southern Lao PDRfrom 2015 to 2020. Spatial autocorrelation analysis and regression models were employed toexamine the relationships between DSS incidence and environmental factors, including altitude,vegetation cover, water content, precipitation, temperature, and nighttime light intensity. A totalof 588 DSS cases were reported, with an incidence rate of 6.87 per 100,000 inhabitants. Strongpositive spatial autocorrelation (Moran's I = 0.675) indicated signifi cant clustering of DSScases. High-risk clusters were identifi ed in southwestern Lao PDR, particularly in ChampasakProvince, while low-risk clusters were observed in the northern areas. Spatial regression modelsrevealed that temperature was positively associated with DSS incidence (coeffi cient: 3.36,95%CI: 0.42 6.30, p < 0.05), while normalized diff erence vegetation index (NDVI) showeda signifi cant negative association (coeffi cient: -43.09, 95%CI: -81.55 4.63, p < 0.05). Areaswith lower NDVI values, typically indicating urban environments with less dense vegetation,were associated with higher DSS incidence. The study highlights the complex spatial dynamicsof DSS in the region and the signifi cant roles of temperature and vegetation cover in shapingits distribution. These fi ndings can inform targeted interventions, urban planning strategies,and climate change adaptation measures to mitigate the burden of dengue in southern Laos. |
