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

机译:识别红树林生态系统中昏睡病危险因素的地理方法。

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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.
机译:目的:更好地了解昏睡病在红树林地区的传播和传播,以优化其控制。方法:在几内亚的Forecariah红树林地区,对19例昏睡病患者和19名相匹配的对照者在其生活区(在家中,田间和水位处)进行了随访。绘制所有职业场所和路径,然后将其置于环境环境中。结果:昏睡病患者比对照组有更广泛,更多样化的空间职业。他们的覆盖范围是控制人员每天步行距离的两倍,平均还有两个工作地点,其中大多数位于红树林中。确定了传播风险较高的活动(大米文化,独木舟出游)以及高风险地区和途径。结论:提出了针对传播风险区域的昆虫控制策略。在控制程序中执行该程序将使整个地区的经典矢量控制程序所需的工作量减少86%。在特定地点进行的医学调查,例如独木舟码头和高风险路径,也应能够更好地针对高风险人群。

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