Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling
The dynamics of the Poyang Lake in Jiangxi province, People’s Republic of China has been monitored to demonstrate the association of various variables with the distribution of schistosomiasis transmission with particular reference to the annual variation of the habitats for the <em>Oncomelania...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2014-05-01
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| Series: | Geospatial Health |
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| Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/25 |
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| author | Kuo-Hsin Tseng Song Liang Motomu Ibaraki Hyongki Lee C. K. Shum |
| author_facet | Kuo-Hsin Tseng Song Liang Motomu Ibaraki Hyongki Lee C. K. Shum |
| author_sort | Kuo-Hsin Tseng |
| collection | DOAJ |
| description | The dynamics of the Poyang Lake in Jiangxi province, People’s Republic of China has been monitored to demonstrate the association of various variables with the distribution of schistosomiasis transmission with particular reference to the annual variation of the habitats for the <em>Oncomelania</em> snail, the intermediate host of <em>Schistosoma japonicum</em>. This was studied with multiple space-borne sensors, including the ENVISAT radar altimeter (RA-2) and MODIS/Terra radiometry data products such as the 16-day enhanced vegetation index, the 8-day sun reflectance, and the derived modified normalized difference water index. The measurements of physical properties were in good accordance with previous reports based on <em>in situ</em> gauge data, spectroradiometry and other optical methods, which encouraged us to build a predictive model based on reported geospatial constraints to assess the limits of potential variation of the snail habitat areas. The simulated results correspond fairly well with surveys conducted by local authorities showing a correlation coefficient of 0.82 between highpotential habitat areas and local estimates in a 9-year (2002-2010) analysis. Taken together, these data indicate that spaceborne observations and<em> in situ</em> measurements can be integrated and used as a first step of a monitoring system for control and analysis of the potential of schistosomiasis dissemination. Since the true range and intensity of transmission in the study region remain elusive at present, a long-term survey around the lake is warranted to build a robust, parametric model. |
| first_indexed | 2024-12-10T22:11:04Z |
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| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-10T22:11:04Z |
| publishDate | 2014-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-d155ba305e624de28b75dd22f32d482b2022-12-22T01:31:36ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962014-05-018235336410.4081/gh.2014.2525Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modellingKuo-Hsin Tseng0Song Liang1Motomu Ibaraki2Hyongki Lee3C. K. Shum4Division of Geodetic Science, School of Earth Sciences, The Ohio State University, Ohio; College of Public Health, The Ohio State University, OhioDepartment of Environmental and Global Health, University of Florida, FloridaDivision of Geodetic Science, School of Earth Sciences, The Ohio State University, OhioDepartment of Civil and Environmental Engineering, University of Houston, TexasDivision of Geodetic Science, School of Earth Sciences, The Ohio State University, Ohio, USA; Insitute of Geodesy and Geophysics, Chinese Academy of Sciences, WuhanThe dynamics of the Poyang Lake in Jiangxi province, People’s Republic of China has been monitored to demonstrate the association of various variables with the distribution of schistosomiasis transmission with particular reference to the annual variation of the habitats for the <em>Oncomelania</em> snail, the intermediate host of <em>Schistosoma japonicum</em>. This was studied with multiple space-borne sensors, including the ENVISAT radar altimeter (RA-2) and MODIS/Terra radiometry data products such as the 16-day enhanced vegetation index, the 8-day sun reflectance, and the derived modified normalized difference water index. The measurements of physical properties were in good accordance with previous reports based on <em>in situ</em> gauge data, spectroradiometry and other optical methods, which encouraged us to build a predictive model based on reported geospatial constraints to assess the limits of potential variation of the snail habitat areas. The simulated results correspond fairly well with surveys conducted by local authorities showing a correlation coefficient of 0.82 between highpotential habitat areas and local estimates in a 9-year (2002-2010) analysis. Taken together, these data indicate that spaceborne observations and<em> in situ</em> measurements can be integrated and used as a first step of a monitoring system for control and analysis of the potential of schistosomiasis dissemination. Since the true range and intensity of transmission in the study region remain elusive at present, a long-term survey around the lake is warranted to build a robust, parametric model.http://www.geospatialhealth.net/index.php/gh/article/view/25ENVISAT altimetry, MODIS, remote sensing, schistosomiasis, infectious disease, People’s Republic of China. |
| spellingShingle | Kuo-Hsin Tseng Song Liang Motomu Ibaraki Hyongki Lee C. K. Shum Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling Geospatial Health ENVISAT altimetry, MODIS, remote sensing, schistosomiasis, infectious disease, People’s Republic of China. |
| title | Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling |
| title_full | Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling |
| title_fullStr | Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling |
| title_full_unstemmed | Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling |
| title_short | Study of the variation of schistosomiasis risk in Lake Poyang in the People’s Republic of China using multiple space-borne sensors for monitoring and modelling |
| title_sort | study of the variation of schistosomiasis risk in lake poyang in the people s republic of china using multiple space borne sensors for monitoring and modelling |
| topic | ENVISAT altimetry, MODIS, remote sensing, schistosomiasis, infectious disease, People’s Republic of China. |
| url | http://www.geospatialhealth.net/index.php/gh/article/view/25 |
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