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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

Detalles Bibliográficos
Autores principales: Trickey, A., Sood, A., Midha, V., Thompson, W., Vellozzi, C., Shadaker, S., Surlikar, V., Kanchi, S., Vickerman, P., May, M. T., Averhoff, F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
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.
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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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