Validation of a remote sensing model to identify Simulium damnosum s.l. breeding sites in Sub-Saharan Africa.
Validation of a remote sensing model to identify Simulium damnosum s.l. breeding sites in Sub-Saharan Africa.
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DOI：
10.1371/journal.pntd.0002342
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发表时间：
2013
影响因子：
3.8
通讯作者：
Unnasch TR
中科院分区：
文献类型：
--
作者：
Jacob BG;Novak RJ;Toe LD;Sanfo M;Griffith DA;Lakwo TL;Habomugisha P;Katabarwa MN;Unnasch TR
最近，大多数盘尾丝虫病控制规划已开始侧重于消灭。制定有效的消除战略依赖于准确绘制流行疫源地的范围。在缺乏基础设施和/或政治不稳定的非洲地区，绘制如此精确的地图一直很困难。盘尾丝虫病疫源地位于该感染的黑蝇媒介滋生地附近。本研究的目的是进行地面验证研究，以评估用于预测damnosum s.l.育种地点的遥感模型的敏感性和特异性。对来自多哥的遥感影像进行分析，以确定具有damnosum s.l.繁殖栖息地特征的区域。有光谱特征的30个点均有水蚤幼虫，其余可能有水蚤幼虫的点均有水蚤幼虫。该模型随后被用于预测乌干达北部的繁殖地点。该地区是盘尾丝虫病高流行地区，但直到2009年，政治不稳定阻碍了伊维菌素的大规模分布。地面验证结果显示，有标记的25个地点中有23个含有水蚤幼虫，而没有标记的10个地点中有8个没有水蚤幼虫。预测有幼虫的地点比那些没有标记的地点含有更多的幼虫。该研究表明，从遥感影像中提取的特征可以用于预测水蚤孳生地的位置，准确度较高。这种方法应有助于在难以实施地面流行病学调查的非洲地区预测盘尾丝虫病风险社区。盘尾丝虫病或河盲症是造成非洲大部分地区社会经济混乱的一个主要原因。发现Mectizan（伊维菌素）可有效治疗盘尾丝虫病，再加上默克夏普（Merck Sharpe）和多美（Dohme）决定捐赠这种药物用于治疗该病，彻底改变了盘尾丝虫病的控制工作。但直到最近，人们还认为单靠伊维菌素不足以消除这一祸害。然而，最近的研究表明，长期伊维菌素治疗可以消除非洲某些疫源地的盘尾丝虫病。这使国际社会的思想发生了革命性的变化，使其注意力从强调控制转向强调消除。要使消除规划取得成功，就必须准确绘制所有高危社区的地图。对于盘尾丝虫病，这通常是通过流行病学调查完成的。在这里，我们报告了一种用于鉴定盘尾丝虫病流行地区的遥感方法的有效性。该方法基于对寄生虫黑蝇媒介孳生地点的预测。该方法在预测西非和乌干达西北部黑蝇孳生地方面非常准确。该方法应有助于在地面调查难以或不可能实施的非洲地区绘制有风险社区的地图。
Recently, most onchocerciasis control programs have begun to focus on elimination. Developing an effective elimination strategy relies upon accurately mapping the extent of endemic foci. In areas of Africa that suffer from a lack of infrastructure and/or political instability, developing such accurate maps has been difficult. Onchocerciasis foci are localized near breeding sites for the black fly vectors of the infection. The goal of this study was to conduct ground validation studies to evaluate the sensitivity and specificity of a remote sensing model developed to predict S. damnosum s.l. breeding sites. Remote sensing images from Togo were analyzed to identify areas containing signature characteristics of S. damnosum s.l. breeding habitat. All 30 sites with the spectral signature were found to contain S. damnosum larvae, while 0/52 other sites judged as likely to contain larvae were found to contain larvae. The model was then used to predict breeding sites in Northern Uganda. This area is hyper-endemic for onchocerciasis, but political instability had precluded mass distribution of ivermectin until 2009. Ground validation revealed that 23/25 sites with the signature contained S. damnosum larvae, while 8/10 sites examined lacking the signature were larvae free. Sites predicted to have larvae contained significantly more larvae than those that lacked the signature. This study suggests that a signature extracted from remote sensing images may be used to predict the location of S. damnosum s.l. breeding sites with a high degree of accuracy. This method should be of assistance in predicting communities at risk for onchocerciasis in areas of Africa where ground-based epidemiological surveys are difficult to implement. Onchocerciasis, or river blindness, represents a major cause of socio-economic disruption throughout much of Africa. The discovery that Mectizan (ivermectin) was effective in treating onchocerciasis, together with the decision of Merck Sharpe and Dohme to donate this drug for the treatment of this disease, revolutionized onchocerciasis control efforts. But until recently, it was thought that ivermectin alone was not sufficient to eliminate this scourge. However, recent studies have suggested that long-term ivermectin treatment can eliminate onchocerciasis in some foci in Africa. This has revolutionized the thinking of the international community, turning its attention from an emphasis on control to an emphasis on elimination. For an elimination program to be successful, it is necessary to accurately map all at-risk communities. In the case of onchocerciasis, this is commonly done by epidemiological surveys. Here we report the validation of a remote sensing method to identify areas endemic for onchocerciasis. This method is based upon predicting the sites where the black fly vector for the parasite breeds. The method was found to be very accurate at predicting black fly breeding sites in West Africa and in northwest Uganda. The method should be useful in assisting in mapping at-risk communities in areas of Africa where ground-based surveys are difficult or impossible to implement.
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DOI：
10.1186/1475-2883-2-2
发表时间：
2003-02-07
期刊：
Filaria journal
影响因子：
--
作者：
Dadzie Y;Neira M;Hopkins D
通讯作者：
Hopkins D
影响因子：
3.8
作者：
Zouré HG;Wanji S;Noma M;Amazigo UV;Diggle PJ;Tekle AH;Remme JH
通讯作者：
Remme JH
影响因子：
3.4
作者：
Barro, Alassane S.;Oyana, Tonny J.
通讯作者：
Oyana, Tonny J.
影响因子：
3.8
作者：
Traore, Mamadou O.;Sarr, Moussa D.;Remme, Jan H. F.
通讯作者：
Remme, Jan H. F.
影响因子：
2.2
作者：
Katabarwa MN;Walsh F;Habomugisha P;Lakwo TL;Agunyo S;Oguttu DW;Unnasch TR;Unoba D;Byamukama E;Tukesiga E;Ndyomugyenyi R;Richards FO
通讯作者：
Richards FO