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Diffusion of treatment in social networks and mass drug administration
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 admini...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717046/ https://www.ncbi.nlm.nih.gov/pubmed/29208898 http://dx.doi.org/10.1038/s41467-017-01499-z |
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author | Chami, Goylette F. Kontoleon, Andreas A. Bulte, Erwin Fenwick, Alan Kabatereine, Narcis B. Tukahebwa, Edridah M. Dunne, David W. |
author_facet | Chami, Goylette F. Kontoleon, Andreas A. Bulte, Erwin Fenwick, Alan Kabatereine, Narcis B. Tukahebwa, Edridah M. Dunne, David W. |
author_sort | Chami, Goylette F. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5717046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57170462017-12-08 Diffusion of treatment in social networks and mass drug administration Chami, Goylette F. Kontoleon, Andreas A. Bulte, Erwin Fenwick, Alan Kabatereine, Narcis B. Tukahebwa, Edridah M. Dunne, David W. Nat Commun Article 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. Nature Publishing Group UK 2017-12-05 /pmc/articles/PMC5717046/ /pubmed/29208898 http://dx.doi.org/10.1038/s41467-017-01499-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chami, Goylette F. Kontoleon, Andreas A. Bulte, Erwin Fenwick, Alan Kabatereine, Narcis B. Tukahebwa, Edridah M. Dunne, David W. Diffusion of treatment in social networks and mass drug administration |
title | Diffusion of treatment in social networks and mass drug administration |
title_full | Diffusion of treatment in social networks and mass drug administration |
title_fullStr | Diffusion of treatment in social networks and mass drug administration |
title_full_unstemmed | Diffusion of treatment in social networks and mass drug administration |
title_short | Diffusion of treatment in social networks and mass drug administration |
title_sort | diffusion of treatment in social networks and mass drug administration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717046/ https://www.ncbi.nlm.nih.gov/pubmed/29208898 http://dx.doi.org/10.1038/s41467-017-01499-z |
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