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A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China
BACKGROUND: Due to the success of the national schistosomiasis control programme in China, transmission has been sufficiently reduced in many areas to severely limit identification of areas at risk by conventional snail surveys only. In this study, we imported Google Earth technology and a Global Po...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250965/ https://www.ncbi.nlm.nih.gov/pubmed/22117601 http://dx.doi.org/10.1186/1756-3305-4-223 |
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author | Sun, Le-Ping Liang, You-Sheng Wu, Hong-Hui Tian, Zeng-Xi Dai, Jian-Rong Yang, Kun Hong, Qing-Biao Zhou, Xiao-Nong Yang, Guo-Jing |
author_facet | Sun, Le-Ping Liang, You-Sheng Wu, Hong-Hui Tian, Zeng-Xi Dai, Jian-Rong Yang, Kun Hong, Qing-Biao Zhou, Xiao-Nong Yang, Guo-Jing |
author_sort | Sun, Le-Ping |
collection | PubMed |
description | BACKGROUND: Due to the success of the national schistosomiasis control programme in China, transmission has been sufficiently reduced in many areas to severely limit identification of areas at risk by conventional snail surveys only. In this study, we imported Google Earth technology and a Global Positioning System (GPS) into the monitoring system for schistosomiasis surveillance of the banks of the Yangtze River in Jiangsu Province, China. METHODS: A total of 45 sites were selected and the risk was assessed monthly by water exposure of sentinel mice at these sites from May to September in 2009 and 2010. The results were assembled and broadcast via the Google Earth platform. RESULTS: The intensity of schistosomiasis transmission showed peaks of risk in June and September of 2009, while there was only one small peak in June in 2010 as the number of detected positive transmission sites dropped dramatically that year thanks to improved mollusciciding. River ports were found to be areas of particular risk, but ferry terminals and other centres of river-related activities were also problematic. CONCLUSIONS: The results confirm that the surveillance system can be rapidly updated and easily maintained, which proves the Google Earth approach to be a user-friendly, inexpensive warning system for schistosomiasis risk. |
format | Online Article Text |
id | pubmed-3250965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32509652012-01-05 A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China Sun, Le-Ping Liang, You-Sheng Wu, Hong-Hui Tian, Zeng-Xi Dai, Jian-Rong Yang, Kun Hong, Qing-Biao Zhou, Xiao-Nong Yang, Guo-Jing Parasit Vectors Research BACKGROUND: Due to the success of the national schistosomiasis control programme in China, transmission has been sufficiently reduced in many areas to severely limit identification of areas at risk by conventional snail surveys only. In this study, we imported Google Earth technology and a Global Positioning System (GPS) into the monitoring system for schistosomiasis surveillance of the banks of the Yangtze River in Jiangsu Province, China. METHODS: A total of 45 sites were selected and the risk was assessed monthly by water exposure of sentinel mice at these sites from May to September in 2009 and 2010. The results were assembled and broadcast via the Google Earth platform. RESULTS: The intensity of schistosomiasis transmission showed peaks of risk in June and September of 2009, while there was only one small peak in June in 2010 as the number of detected positive transmission sites dropped dramatically that year thanks to improved mollusciciding. River ports were found to be areas of particular risk, but ferry terminals and other centres of river-related activities were also problematic. CONCLUSIONS: The results confirm that the surveillance system can be rapidly updated and easily maintained, which proves the Google Earth approach to be a user-friendly, inexpensive warning system for schistosomiasis risk. BioMed Central 2011-11-27 /pmc/articles/PMC3250965/ /pubmed/22117601 http://dx.doi.org/10.1186/1756-3305-4-223 Text en Copyright ©2011 Sun et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Sun, Le-Ping Liang, You-Sheng Wu, Hong-Hui Tian, Zeng-Xi Dai, Jian-Rong Yang, Kun Hong, Qing-Biao Zhou, Xiao-Nong Yang, Guo-Jing A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title | A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title_full | A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title_fullStr | A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title_full_unstemmed | A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title_short | A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China |
title_sort | google earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the yangtze river, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250965/ https://www.ncbi.nlm.nih.gov/pubmed/22117601 http://dx.doi.org/10.1186/1756-3305-4-223 |
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