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采用地理方法在红树林生态系统中确定昏睡病风险因素。

A geographical approach to identify sleeping sickness risk factors in a mangrove ecosystem.

机构信息

Institut de Recherche pour le Développement, UMR 177 IRD-CIRAD, Centre International de Recherche Développement sur l'Elevage en zone Subhumide, Bobo-Dioulasso, Burkina Faso.

出版信息

Trop Med Int Health. 2010 Aug;15(8):881-9. doi: 10.1111/j.1365-3156.2010.02559.x. Epub 2010 Jun 9.

Abstract

OBJECTIVES

To provide a better understanding of sleeping sickness transmission and spread in mangrove areas to optimize its control.

METHODS

In the Forecariah mangrove area, Guinea, 19 sleeping sickness cases and 19 matched controls were followed up in their living areas (at home, in fields and at water points). All occupational sites and pathways were mapped and then placed in their environmental context.

RESULTS

The sleeping sickness cases displayed a significantly broader and more diverse spatial occupation than the controls. They covered double the daily walking distances of controls and had on average two more occupational sites, most of which were located in mangrove forests. Activities with a higher transmission risk (rice culture, attendance of pirogue jetties) were identified as well as high-risk areas and pathways.

CONCLUSIONS

An entomological control strategy targeting transmission risk areas is proposed. Its implementation in a control programme would reduce by 86% the efforts needed for a classical vector control programme throughout the area. Medical surveys set up at specific locations, such as pirogue jetties and high-risk paths, should also enable better targeting of the population at highest risk.

摘要

目的

更好地了解红树林地区昏睡病的传播和扩散情况,以优化其控制。

方法

在几内亚福雷卡里亚红树林地区,对 19 例昏睡病病例和 19 名匹配对照者在其居住区域(家中、田地和水源处)进行随访。所有职业场所和路径都进行了绘制,并将其置于环境背景下。

结果

昏睡病病例的空间职业范围明显比对照者更广、更多样化。他们的日常步行距离是对照组的两倍,平均有两个以上的职业场所,其中大部分位于红树林中。确定了具有较高传播风险的活动(水稻种植、乘坐独木舟码头)以及高风险区域和路径。

结论

提出了针对传播风险区域的昆虫学控制策略。在控制方案中实施该策略,将使整个区域内经典病媒控制方案所需的努力减少 86%。还应在特定地点(如独木舟码头和高风险路径)设立医疗调查,以便更好地针对风险最高的人群。

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