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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...

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Detalles Bibliográficos
Autores principales: Masuda, Naoki, Miller, Joel C., Holme, Petter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
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.
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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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