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Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019080/ https://www.ncbi.nlm.nih.gov/pubmed/31918778 http://dx.doi.org/10.1017/S0950268819002243 |
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author | Trickey, A. Sood, A. Midha, V. Thompson, W. Vellozzi, C. Shadaker, S. Surlikar, V. Kanchi, S. Vickerman, P. May, M. T. Averhoff, F. |
author_facet | Trickey, A. Sood, A. Midha, V. Thompson, W. Vellozzi, C. Shadaker, S. Surlikar, V. Kanchi, S. Vickerman, P. May, M. T. Averhoff, F. |
author_sort | Trickey, A. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7019080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70190802020-02-27 Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response Trickey, A. Sood, A. Midha, V. Thompson, W. Vellozzi, C. Shadaker, S. Surlikar, V. Kanchi, S. Vickerman, P. May, M. T. Averhoff, F. Epidemiol Infect Letter to the Editor Cambridge University Press 2020-01-10 /pmc/articles/PMC7019080/ /pubmed/31918778 http://dx.doi.org/10.1017/S0950268819002243 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letter to the Editor Trickey, A. Sood, A. Midha, V. Thompson, W. Vellozzi, C. Shadaker, S. Surlikar, V. Kanchi, S. Vickerman, P. May, M. T. Averhoff, F. Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title | Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title_full | Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title_fullStr | Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title_full_unstemmed | Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title_short | Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
title_sort | population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019080/ https://www.ncbi.nlm.nih.gov/pubmed/31918778 http://dx.doi.org/10.1017/S0950268819002243 |
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