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Diffusion of treatment in social networks and mass drug administration.

机译:社会网络和大规模药物管理中的治疗扩散。

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摘要

Information, behaviors, and technologies spread when people interact. Understanding these interactions is critical for achieving the greatest diffusion of public interventions. Yet, little is known about the performance of starting points (seed nodes) for diffusion. We track routine mass drug administration-the large-scale distribution of deworming drugs-in Uganda. We observe friendship networks, socioeconomic factors, and treatment delivery outcomes for 16,357 individuals in 3491 households of 17 rural villages. Each village has two community medicine distributors (CMDs), who are the seed nodes and responsible for administering treatments. Here, we show that CMDs with tightly knit (clustered) friendship connections achieve the greatest reach and speed of treatment coverage. Importantly, we demonstrate that clustering predicts diffusion through social networks when spreading relies on contact with seed nodes while centrality is unrelated to diffusion. Clustering should be considered when selecting seed nodes for large-scale treatment campaigns.
机译:当人们互动时,信息,行为和技术就会传播。了解这些相互作用对于最大程度地传播公共干预至关重要。然而,关于扩散的起点(种子节点)的性能知之甚少。我们跟踪乌干达的日常大规模药物管理-驱虫药物的大规模分发。我们观察了17个农村地区3491户家庭中16357名个体的友谊网络,社会经济因素和治疗效果。每个村庄都有两个社区药品分销商(CMD),它们是种子节点,负责管理治疗。在这里,我们表明,具有紧密联系(集群)关系的CMD可以实现最大的覆盖范围和最快的治疗覆盖率。重要的是,我们证明了当传播依赖于与种子节点的接触而集中度与传播无关时,聚类预测了通过社交网络的传播。为大规模治疗活动选择种子节点时,应考虑聚类。

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