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Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa

机译:利用寄生虫遗传和人类流动性数据推断南部非洲的局部和跨境疟疾连通性

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摘要

Local and cross-border importation remain major challenges to malaria elimination and are difficult to measure using traditional surveillance data. To address this challenge, we systematically collected parasite genetic data and travel history from thousands of malaria cases across northeastern Namibia and estimated human mobility from mobile phone data. We observed strong fine-scale spatial structure in local parasite populations, providing positive evidence that the majority of cases were due to local transmission. This result was largely consistent with estimates from mobile phone and travel history data. However, genetic data identified more detailed and extensive evidence of parasite connectivity over hundreds of kilometers than the other data, within Namibia and across the Angolan and Zambian borders. Our results provide a framework for incorporating genetic data into malaria surveillance and provide evidence that both strengthening of local interventions and regional coordination are likely necessary to eliminate malaria in this region of Southern Africa.
机译:本地和跨境进口仍然是消除疟疾的主要挑战,并且难以使用传统监测数据进行衡量。为了应对这一挑战,我们系统地收集了纳米比亚东北部成千上万疟疾病例的寄生虫遗传数据和旅行史,并通过手机数据估算了人类的流动性。我们观察到本地寄生虫种群中强大的精细空间结构,提供了积极的证据表明大多数病例是由于本地传播。该结果与手机和旅行历史数据的估计值基本一致。但是,与纳米比亚内以及安哥拉和赞比亚边界之间的其他数据相比,遗传数据确定了数百公里之外的寄生虫连通性的更详细和广泛的证据。我们的结果提供了将遗传数据纳入疟疾监测的框架,并提供了证据,证明有必要加强当地干预措施和区域协调,以消除南部非洲该地区的疟疾。

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