Emerging dynamics from high-resolution spatial numerical epidemics

Simulating nationwide realistic individual movements with a detailed geographical structure can help optimise public health policies. However, existing tools have limited resolution or can only account for a limited number of agents. We introduce Epidemap, a new framework that can capture the daily...

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Autores principales:	Olivier Thomine, Samuel Alizon, Corentin Boennec, Marc Barthelemy, Mircea Sofonea
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	high perfomance computing parallel computing Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f1bc8168d793401ab05ee1a3df33ab1f
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id	oai:doaj.org-article:f1bc8168d793401ab05ee1a3df33ab1f
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spelling	oai:doaj.org-article:f1bc8168d793401ab05ee1a3df33ab1f2021-11-04T16:42:29ZEmerging dynamics from high-resolution spatial numerical epidemics10.7554/eLife.714172050-084Xe71417https://doaj.org/article/f1bc8168d793401ab05ee1a3df33ab1f2021-10-01T00:00:00Zhttps://elifesciences.org/articles/71417https://doaj.org/toc/2050-084XSimulating nationwide realistic individual movements with a detailed geographical structure can help optimise public health policies. However, existing tools have limited resolution or can only account for a limited number of agents. We introduce Epidemap, a new framework that can capture the daily movement of more than 60 million people in a country at a building-level resolution in a realistic and computationally efficient way. By applying it to the case of an infectious disease spreading in France, we uncover hitherto neglected effects, such as the emergence of two distinct peaks in the daily number of cases or the importance of local density in the timing of arrival of the epidemic. Finally, we show that the importance of super-spreading events strongly varies over time.Olivier ThomineSamuel AlizonCorentin BoennecMarc BarthelemyMircea SofoneaeLife Sciences Publications Ltdarticlehigh perfomance computingparallel computingMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	high perfomance computing parallel computing Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	high perfomance computing parallel computing Medicine R Science Q Biology (General) QH301-705.5 Olivier Thomine Samuel Alizon Corentin Boennec Marc Barthelemy Mircea Sofonea Emerging dynamics from high-resolution spatial numerical epidemics
description	Simulating nationwide realistic individual movements with a detailed geographical structure can help optimise public health policies. However, existing tools have limited resolution or can only account for a limited number of agents. We introduce Epidemap, a new framework that can capture the daily movement of more than 60 million people in a country at a building-level resolution in a realistic and computationally efficient way. By applying it to the case of an infectious disease spreading in France, we uncover hitherto neglected effects, such as the emergence of two distinct peaks in the daily number of cases or the importance of local density in the timing of arrival of the epidemic. Finally, we show that the importance of super-spreading events strongly varies over time.
format	article
author	Olivier Thomine Samuel Alizon Corentin Boennec Marc Barthelemy Mircea Sofonea
author_facet	Olivier Thomine Samuel Alizon Corentin Boennec Marc Barthelemy Mircea Sofonea
author_sort	Olivier Thomine
title	Emerging dynamics from high-resolution spatial numerical epidemics
title_short	Emerging dynamics from high-resolution spatial numerical epidemics
title_full	Emerging dynamics from high-resolution spatial numerical epidemics
title_fullStr	Emerging dynamics from high-resolution spatial numerical epidemics
title_full_unstemmed	Emerging dynamics from high-resolution spatial numerical epidemics
title_sort	emerging dynamics from high-resolution spatial numerical epidemics
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/f1bc8168d793401ab05ee1a3df33ab1f
work_keys_str_mv	AT olivierthomine emergingdynamicsfromhighresolutionspatialnumericalepidemics AT samuelalizon emergingdynamicsfromhighresolutionspatialnumericalepidemics AT corentinboennec emergingdynamicsfromhighresolutionspatialnumericalepidemics AT marcbarthelemy emergingdynamicsfromhighresolutionspatialnumericalepidemics AT mirceasofonea emergingdynamicsfromhighresolutionspatialnumericalepidemics
_version_	1718444686795866112

Emerging dynamics from high-resolution spatial numerical epidemics

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