Department of Land Economy, University of Cambridge, 19 Silver St., Cambridge, CB3 9EP, UK.
Department of Pathology, University of Cambridge, Tennis Ct. Rd., Cambridge, CB2 1QP, UK.
Nat Commun. 2017 Dec 5;8(1):1929. doi: 10.1038/s41467-017-01499-z.
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.
信息、行为和技术在人们的互动中传播。了解这些相互作用对于实现公共干预措施的最大扩散至关重要。然而，对于扩散的起点（种子节点）的性能知之甚少。我们跟踪乌干达的常规大规模药物管理，即大规模分发驱虫药物。我们观察了 17 个农村村庄的 3491 户家庭中 16357 个人的友谊网络、社会经济因素和治疗结果。每个村庄都有两名社区医药分销商（CMD），他们是种子节点，负责管理治疗。在这里，我们表明，具有紧密联系（聚集）友谊关系的 CMD 可以实现最大的治疗覆盖范围和速度。重要的是，我们证明，当传播依赖于与种子节点的接触时，聚类可以通过社交网络预测扩散，而中心度与扩散无关。在为大规模治疗活动选择种子节点时，应该考虑聚类。
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