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Concurrency measures in the era of temporal network epidemiology: a review
Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One early concept of the literature to aid in discussing these structures is concurrency—quantifying individuals’ tendency to f...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169215/ https://www.ncbi.nlm.nih.gov/pubmed/34062106 http://dx.doi.org/10.1098/rsif.2021.0019 |
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author | Masuda, Naoki Miller, Joel C. Holme, Petter |
author_facet | Masuda, Naoki Miller, Joel C. Holme, Petter |
author_sort | Masuda, Naoki |
collection | PubMed |
description | Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One early concept of the literature to aid in discussing these structures is concurrency—quantifying individuals’ tendency to form time-overlapping ‘partnerships’. Although conflicting evaluations and an overabundance of operational definitions have marred the history of concurrency, it remains important, especially in the area of sexually transmitted infections. Today, much of theoretical epidemiology uses more direct models of contact patterns, and there is an emerging body of literature trying to connect methods to the concurrency literature. In this review, we will cover the development of the concept of concurrency and these new approaches. |
format | Online Article Text |
id | pubmed-8169215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81692152021-06-08 Concurrency measures in the era of temporal network epidemiology: a review Masuda, Naoki Miller, Joel C. Holme, Petter J R Soc Interface Review Articles Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One early concept of the literature to aid in discussing these structures is concurrency—quantifying individuals’ tendency to form time-overlapping ‘partnerships’. Although conflicting evaluations and an overabundance of operational definitions have marred the history of concurrency, it remains important, especially in the area of sexually transmitted infections. Today, much of theoretical epidemiology uses more direct models of contact patterns, and there is an emerging body of literature trying to connect methods to the concurrency literature. In this review, we will cover the development of the concept of concurrency and these new approaches. The Royal Society 2021-06-02 /pmc/articles/PMC8169215/ /pubmed/34062106 http://dx.doi.org/10.1098/rsif.2021.0019 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Review Articles Masuda, Naoki Miller, Joel C. Holme, Petter Concurrency measures in the era of temporal network epidemiology: a review |
title | Concurrency measures in the era of temporal network epidemiology: a review |
title_full | Concurrency measures in the era of temporal network epidemiology: a review |
title_fullStr | Concurrency measures in the era of temporal network epidemiology: a review |
title_full_unstemmed | Concurrency measures in the era of temporal network epidemiology: a review |
title_short | Concurrency measures in the era of temporal network epidemiology: a review |
title_sort | concurrency measures in the era of temporal network epidemiology: a review |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169215/ https://www.ncbi.nlm.nih.gov/pubmed/34062106 http://dx.doi.org/10.1098/rsif.2021.0019 |
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