Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China
Political and health sector reforms, along with demographic, environmental and socio-economic transformations in the face of global warming, could cause the re-emergence of schistosomiasis in areas where transmission has been successfully interrupted and its emergence in previously non-endemic areas...
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PAGEPress Publications
2006-11-01
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| Series: | Geospatial Health |
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| Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/283 |
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| author | Guo-Jing Yang Penelope Vounatsou Marcel Tanner Xiao-Nong Zhou Jürg Utzinger |
| author_facet | Guo-Jing Yang Penelope Vounatsou Marcel Tanner Xiao-Nong Zhou Jürg Utzinger |
| author_sort | Guo-Jing Yang |
| collection | DOAJ |
| description | Political and health sector reforms, along with demographic, environmental and socio-economic transformations in the face of global warming, could cause the re-emergence of schistosomiasis in areas where transmission has been successfully interrupted and its emergence in previously non-endemic areas in China. In the present study, we used geographic information systems and remote sensing techniques to predict potential habitats of <em>Oncomelania hupensis</em>, the intermediate host snail of <em>Schistosoma japonicum</em>. Focussing on the Hongze, Baima and Gaoyou lakes in Jiangsu province in eastern China, we developed a model using the normalized difference vegetation index, a tasseled-cap transformed wetness index, and flooding areas to predict snail habitats at a small scale. Data were extracted from two Landsat images, one taken during a typical dry year and the other obtained three years later during a flooding event. An area of approximately 163.6 km2 was predicted as potential <em>O. hupensis</em> habitats around the three lakes, which accounts for 4.3% of the estimated snail habitats in China. In turn, these predicted snail habitats are risk areas for transmission of schistosomiasis, and hence illustrate the scale of the possible impact of climate change and other ecological transformations. The generated risk map can be used by health policy makers to guide mitigation policies targetting the possible spread of <em>O. hupensis</em>, and with the aim of containing the transmission of <em>S. japonicum</em>. |
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| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-13T10:03:13Z |
| publishDate | 2006-11-01 |
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| series | Geospatial Health |
| spelling | doaj.art-3b36b9a0c0c445fc968ffa4078d37dba2022-12-21T23:51:36ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962006-11-0111859210.4081/gh.2006.283283Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, ChinaGuo-Jing Yang0Penelope Vounatsou1Marcel Tanner2Xiao-Nong Zhou3Jürg Utzinger4Jiangsu Institute of Parasitic Diseases, Wuxi, People’s Republic of China; Department of Public Health and Epidemiology, Swiss Tropical Institute, BaselDepartment of Public Health and Epidemiology, Swiss Tropical Institute, BaselDepartment of Public Health and Epidemiology, Swiss Tropical Institute, BaselNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, ShanghaiDepartment of Public Health and Epidemiology, Swiss Tropical Institute, BaselPolitical and health sector reforms, along with demographic, environmental and socio-economic transformations in the face of global warming, could cause the re-emergence of schistosomiasis in areas where transmission has been successfully interrupted and its emergence in previously non-endemic areas in China. In the present study, we used geographic information systems and remote sensing techniques to predict potential habitats of <em>Oncomelania hupensis</em>, the intermediate host snail of <em>Schistosoma japonicum</em>. Focussing on the Hongze, Baima and Gaoyou lakes in Jiangsu province in eastern China, we developed a model using the normalized difference vegetation index, a tasseled-cap transformed wetness index, and flooding areas to predict snail habitats at a small scale. Data were extracted from two Landsat images, one taken during a typical dry year and the other obtained three years later during a flooding event. An area of approximately 163.6 km2 was predicted as potential <em>O. hupensis</em> habitats around the three lakes, which accounts for 4.3% of the estimated snail habitats in China. In turn, these predicted snail habitats are risk areas for transmission of schistosomiasis, and hence illustrate the scale of the possible impact of climate change and other ecological transformations. The generated risk map can be used by health policy makers to guide mitigation policies targetting the possible spread of <em>O. hupensis</em>, and with the aim of containing the transmission of <em>S. japonicum</em>.http://www.geospatialhealth.net/index.php/gh/article/view/283schistosomiasis, Schistosoma japonicum, Oncomelania hupensis, snail habitats, remote sensing, geographic information system, risk mapping and prediction, China. |
| spellingShingle | Guo-Jing Yang Penelope Vounatsou Marcel Tanner Xiao-Nong Zhou Jürg Utzinger Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China Geospatial Health schistosomiasis, Schistosoma japonicum, Oncomelania hupensis, snail habitats, remote sensing, geographic information system, risk mapping and prediction, China. |
| title | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China |
| title_full | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China |
| title_fullStr | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China |
| title_full_unstemmed | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China |
| title_short | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China |
| title_sort | remote sensing for predicting potential habitats of oncomelania hupensis in hongze baima and gaoyou lakes in jiangsu province china |
| topic | schistosomiasis, Schistosoma japonicum, Oncomelania hupensis, snail habitats, remote sensing, geographic information system, risk mapping and prediction, China. |
| url | http://www.geospatialhealth.net/index.php/gh/article/view/283 |
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